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[JY-19957] Upgrade BE libraries - Apr - Jira — Wor [JY-19957] Upgrade BE libraries - Apr - Jira — Work...
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jiminny.atlassian.net/browse/JY-19957?search_id=d4 jiminny.atlassian.net/browse/JY-19957?search_id=d436a87d-f5b4-44e0-9541-4471b4b44c1c...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma...
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[JY-19957] Upgrade BE libraries - Apr - Jira — Wor [JY-19957] Upgrade BE libraries - Apr - Jira — Work...
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jiminny.atlassian.net/browse/JY-19957?search_id=d4 jiminny.atlassian.net/browse/JY-19957?search_id=d436a87d-f5b4-44e0-9541-4471b4b44c1c...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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JY-19957
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Fix BE vulnerabilities:
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Nikolay Ivanov- edit Assignee
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Stefka Stoyanova- edit Reporter
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jiminny.atlassian.net/browse/JY-19957?search_id=d4 jiminny.atlassian.net/browse/JY-19957?search_id=d436a87d-f5b4-44e0-9541-4471b4b44c1c...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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12 January 2026 at 10:48
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Fix BE vulnerabilities:
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Created
12 January 2026 at 10:48
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Switch workspaces… (Jiminny Inc) Has new messages
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Nikolay Ivanov
rireroyE jiminny• iCloud Drive283 Sync folderDXP4800PLUS-B5FA® Network• CRM• Orange• Red• Yellow• Green• Blue• Purple• All Tags.MistorbookmarksProtllesToolsWindowHelp• System Audio (output) 2026-05-13 06-19-55.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4• System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13 06-18-55.mp4System Audio (output)_2026-05-13_06-18-55.mp4• MaсBook Pro Microphoa (input)_2026-05-13_06-18-25.mp4• System Audio (output)_2026-05-13_06-18-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-17-55.mp4• System Audio (output)_2026-05-13_06-17-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-17-25.mp4• System Audio (output) _ 2026-05-13_06-17-25.mp4St8moX Pto Mutsul) 2026-05- 1026-06-13. 08-16-59- mраSystem Audio (output)_2026-05-13_06-16-53.mp4> dataMacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-16-57.mp4[JY-19967) Upgrade Python and@ Dependabot alerts • jiminny/proph(UY-19958) Upgrade BE libraries -liminny/app/backend-code - VantaLow vulnerabilities identified in pacop/backend-code - Vanta4. NVD - cve-2026-6722(UY-20773) User Pilot not receivin( JY-19957 | Remove abanded symp§ Project Phoenix - FigmaA TypeError: Leaque\Flysystem\Files•New Tabu Userpilot | Ask Jiminny Report Gen(SRD-6848] Sidekick SMS issue -€ [UY-19957) Upgrade BE libraric X@ JY-19957 | Remove abanded symp2 Hich vulnerabilities identified in pa(* Medium vulnerabilities identifiedLow vulnerabilities identified in pac+ New TabSMINNY@ For you© Recent# Starred8* Apps0, Spaces+ ..Jiminny (New) + ...I 00 Platform TeamIID Capture TeamI Enterprise Stability I...W Processing TeamMl SE Kanbanl( Service-Desk!!!!©jiminny.atlassian.net/browse/JY-19957?search_id=d436a87d-f5b4-44e0-9541-4471b4b44c1cQ Upgrade< 40 ll Support Daily - in 2h 31m+ Create100% C/3 &• Wed 13 May 12:29:07S ASK ROVO 18 ® Sô @Spaces / Jiminny (New) / 4 JY-12249 / V JY-19957Upgrade BE libraries - Apr~ DescriptionFix Be vulnerabilities:I VantaD VantaID VantaSubtasksAdd subtaskLinked work itemsAdd linked work itemActivityAllComments History Workl0gAdd a comment...Status update…. Thanks… Agree…Pro tip: press M to comment* Improve Technical Storynts• Nikolay IvanovAssign to me& Stefka StoyanovaQ Open with VS Code? Create branch5 commits1 pull request3 builds14 days agoMERGED (2(PlatformAdd optionsNoneNoneNone= MediumNoneNone (+1iks• (JY-12249 Maintenance)Open Canny Linksfields Original estimate, Time tracking...
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Nikolay Ivanov
Today at 11:00:42 AM
11:00 AM
здрасти
Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
Screenshot 2026-05-13 at 11.01.01.png
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Switch workspaces… (Jiminny Inc) Has new messages
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Nikolay Ivanov
Today at 11:00:42 AM
11:00 AM
здрасти
Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)О 82rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4 NAS ‹ 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4 → NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4 NAS + 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145MAPP (-zsh[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UHomeDMsActivityFilesLaterMoreJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi.... Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev. Galya DimitrovaRo Steliyan Georgievo Petko Kashinski. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y…..l:: AppsJira CloudToastSupport Daily • in 2h 31 m100% С8•Wed 13 May 12:29:07Describe what you are looking forNikolay Ivanov6 0• Messagest Add canvasO Files+TodayLukas Kovalik 11:01 AMмен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEMessage Nikolay Ivanov...
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Nikolay Ivanov (DM) - Jiminny Inc - 4 new items - Nikolay Ivanov (DM) - Jiminny Inc - 4 new items - Slack...
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Switch workspaces… (Jiminny Inc) Has new messages
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Nikolay Ivanov
Today at 11:00:42 AM
11:00 AM
здрасти
Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Switch workspaces… (Jiminny Inc) Has new messages
Switch workspaces… (Jiminny Inc) Has new messages
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Nikolay Ivanov
Today at 11:00:42 AM
11:00 AM
здрасти
Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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k
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James Graham, Direct Message, 1 of 15 suggestions
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)9 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS / 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4→ NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4→ NAS • 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS /199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4→ NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityFilesLaterMoreabl§ Support Daily - in 2h 31 m100% (C478•Wed 13 May 12:29:08-Describe what you are looking forJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...Nikolay Ivanov6 0• Messages+° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev®. Galya DimitrovaRo Steliyan GeorgievLo Petko KashinskiR. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y…..Appst Add canvasO FilesTodayLukas Kovalik 11:01 AMмен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEJira CloudMessage Nikolay IvanovToast...
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Switch workspaces… (Jiminny Inc) Has new messages
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Nikolay Ivanov
Today at 11:00:42 AM
11:00 AM
здрасти
Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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James Graham, Direct Message, 1 of 15 suggestions
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Nikolay Ivanov
Today at 11:00:42 AM
11:00 AM
здрасти
Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
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Today at 11:01:07 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
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мда
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11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
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не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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FavouritesE jiminny• iCloud Drive283 Sync folderDXP4800PLUS-B5FA® Network• CRM• Orange• Red• Yellow• Green• Blue• Purple• All Tags.• System Audio (output 2026-05-13 06-19-55.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4• System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13 06-18-55.mp4• System Audio (output)_2026-05-13_06-18-55.mp4• MaсBook Pro Micropho(input)_2026-05-13_06-18-25.mp4• System Audio (output)_2026-05-13_06-18-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-17-55.mp4• System Audio (output)_2026-05-13_06-17-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-17-25.mp4• System Audio (output) _ 2026-05-13_06-17-25.mp4St8moX Pto Mutsul) 2026-05- 1026-06-13. 08-16-59- mраSystem Audio (output)_2026-05-13_06-16-53.mp4> dataD MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-22-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-21-56.mp4input)_2026-05-12_18-21-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-56.mp4al MacBook Pro Micronhone (innut) 2026-05-12 18-20-27 mn4D MacBook Pro Microphone (input)_2026-05-12_18-19-57.mp4MacBook Pro Microphone (input)_2026-05-12_18-19-27.mр4MacBook Pro Microphone (inout) 2026-05-12 18-16-57 mo4|© jiminny.atlassian.net/browse/JY-19957?search_id=d436a87d-f5b4-44e0-9541-4471b4b44c1cQ UpgradeSo hiil oSupport Daily - in 2h 31m100% C42 8• Wed 13 May 12:29:08+ CreateS Ask Rovo4 ® lộ[JY-19967) Upgrade Python and li@ Dependabot alerts • jiminny/proph(UY-19958) Upgrade BE libraries -liminny/app/backend-code - VantaLow vulnerabilities identified in pacop/backend-code - Vanta4. NVD - cve-2026-6722(UY-20773) User Pilot not receivin• JY-19957 1 Remove abanded svm§ Project Phoenix - FigmaA TypeError: Leaque\Flysystem\Files) New TabU Userpilot | Ask Jiminny Report Gen(SRD-6848] Sidekick SMS issue -€ [UY-19957) Upgrade BE libraric X@ JY-19957 | Remove abanded symp2 Hich vulnerabilities identified in pa(* Medium vulnerabilities identifiedLow vulnerabilities identified in pacSMINNY@ For you© Recent# Starred8* Apps0, Spaces+ ..Jiminny (New) + ...I 00 Platform TeamIID Capture TeamI Enterprise Stability I...W Processing TeamMl SE KanbanlSpaces / Jiminny (New) / 4 JY-12249 / V JY-19957Upgrade BE libraries - Apr~ DescriptionFix Be vulnerabilities:I* VantaD VantaID VantaSubtasksAdd subtaskLinked work itemsAdd linked work itemActivityAllComments History Workl0gAdd a comment...Status update…. Thanks… Agree…Pro tip: press M to commentDeployed vDetailsAssigneeReporterDevelopmeComponentsSub-ProductLabelsStorynointestimateStoryPointsOrganisationsPriorityFix versionsSprintDaysNeed OAParentCanny Links* Improve Technical Story• Nikolay IvanovAssign to me& Stefka StoyanovaQ Open with VS Code? Create branch5 commits1 pull request3 builds14 days agoMERGED(PlatformAdd optionsNoneNoneNone= MediumNoneNone (+1• (JY-12249 Maintenance)Open Canny Links> More fields Original estimate, Time tracking...
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JY-19957 | Remove abanded sympfony debug, compose JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app — Work...
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github.com/jiminny/app/pull/12022
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira...
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JY-19957 | Remove abanded sympfony debug, compose JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app — Work...
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github.com/jiminny/app/pull/12022
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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JY-19957 | Remove abanded sympfony debug, compose upgrade #12022 Edit title
JY-19957 | Remove abanded sympfony debug, compose upgrade
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
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Dependabot alerts · jiminny/prophet
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade #12022 Edit title
JY-19957 | Remove abanded sympfony debug, compose upgrade
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade #12022 Edit title
JY-19957 | Remove abanded sympfony debug, compose upgrade
#
12022
Edit title
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nikolaybiaivanov
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nikolaybiaivanov commented 2 weeks ago
nikolaybiaivanov
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commented
2 weeks ago
2 weeks ago
JIRA: JY-XXXX
JIRA: JY-XXXX
Deployment notes:
Deployment notes:
None
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@nikolaybiaivanov
JY-19957
JY-19957
| Remove abanded sympfony debug, compose upgrade
| Remove abanded sympfony debug, compose upgrade
12 / 21 checks OK
c97ad51
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2 weeks ago
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nikolaybiaivanov commented 2 weeks ago
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2 weeks ago
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claude Bot commented 2 weeks ago •
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Summary
Summary
Clean, focused PR that removes the abandoned
symfony/debug
4.x package and upgrades a batch of Composer dependencies. The code change in
Worker.php
is the only functional diff — the rest is lock-file churn.
app/Queue/Worker/Worker.php
app/Queue/Worker/Worker.php
Change: drop
FatalThrowableError
wrapper
(
app/Queue/Worker/Worker.php:77-84
)
// Before
new
FatalThrowableError(
$
e
)
// After
$
e,
Copy code to clipboard
Symfony\Component\Debug\Exception\FatalThrowableError
was a PHP 5.x/7.0-era shim that converted
Throwable
into an
Exception
so older frameworks (that only caught
\Exception
) could handle it. Modern Laravel (10+) already accepts
Throwable
in
handleJobException
, so the wrapper is both redundant and pulled from an abandoned package. The change is correct.
One thing to verify:
the parent
Illuminate\Queue\Worker::handleJobException
signature. In Laravel 10+ it is
protected function handleJobException($connectionName, $job, WorkerOptions $options, Throwable $e)
, so passing
$e
directly is fine. If your project is on an older Laravel branch that typed the parameter as
\Exception
, this would be a silent type mismatch at runtime. Confirm this with the Laravel version in
composer.json
.
composer.json
composer.json
Removal of
"symfony/debug": "^4.4"
is correct — the package has been archived/abandoned since Symfony 5. No concerns.
composer.lock highlights
composer.lock
highlights
24slides/laravel-saml2
: 2.4.2 → 2.5.2
The repository source changed from
24Slides/laravel-saml2
to
scaler-tech/laravel-saml2
. Notably, the new lock entry also contains:
"abandoned"
:
"
scaler-tech/laravel-saml2
"
Copy code to clipboard
This means Composer will emit a deprecation warning on every
install
/
update
for this package. Worth investigating whether there's an actively maintained fork to migrate to, or whether this is a self-referential marker that will be resolved in a future release.
aws/aws-sdk-php-laravel
: 3.10.0 → 3.11.0
The new version drops Laravel 6–8 support (
illuminate/support
now requires
^9.0+
). Confirm the project is on Laravel 9+.
vimeo/psalm
: 6.5.0 → 6.16.1
A large jump (11 minor versions). Worth running Psalm on the codebase after this upgrade to catch any new analysis errors introduced by updated rules.
General dependency updates
(
aws/aws-sdk-php
,
bepsvpt/secure-headers
,
jane-php/*
,
symfony/*
,
thecodingmachine/safe
, etc.) all look like routine patch/minor bumps with no red flags.
Minor notes
Minor notes
The PR description still has the template placeholder
JIRA: JY-XXXX
— worth updating to the actual ticket.
Overall this is a straightforward housekeeping PR. The main action item is confirming the SAML2 abandoned-package warning and the Laravel version compatibility for the
handleJobException
signature change.
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@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
closed this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
removed request for
LakyLak
LakyLak
,
Vasil-Jiminny
Vasil-Jiminny
,
ilian-jiminny
ilian-jiminny
and
yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
added
2
commits
2 weeks ago
2 weeks ago
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.locl
| Update composer.locl
16 / 19 checks OK
574315f
574315f
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.lock with correct dep
| Update composer.lock with correct dep
21 / 22 checks OK
0c1f2f3
0c1f2f3
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
reopened this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
requested review from
LakyLak
LakyLak
,
Vasil-Jiminny
Vasil-Jiminny
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ilian-jiminny
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yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
@ilian-jiminny
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ilian-jiminny commented 2 weeks ago
ilian-jiminny
ilian-jiminny
commented
2 weeks ago
2 weeks ago
Just to note:
This will change all sentry errors and old ones will appear as new.
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@nikolaybiaivanov
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nikolaybiaivanov commented 2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
commented
2 weeks ago
2 weeks ago
Just to note: This will change all sentry errors and old ones will appear as new.
thx, understood. We don't have any other option unfortunately the package was abandoned.
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yalokin-jiminny
yalokin-jiminny
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approved these changes
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@nikolaybiaivanov
Merge branch 'master' into
Merge branch 'master' into
JY-19957
JY-19957
-upgrade-be-libraries-apr
-upgrade-be-libraries-apr
Verified
Verified
23 / 23 checks OK
316c3ef
316c3ef
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
enabled auto-merge
2 weeks ago
2 weeks ago
@sonarqubecloud
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sonarqubecloud Bot commented 2 weeks ago
sonarqubecloud
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commented
2 weeks ago
2 weeks ago
Quality Gate Passed Quality Gate passed
Quality Gate Passed
Quality Gate passed...
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visual_change
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accessibility
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade #12022 Edit title
JY-19957 | Remove abanded sympfony debug, compose upgrade
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12022
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nikolaybiaivanov commented 2 weeks ago
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JIRA: JY-XXXX
JIRA: JY-XXXX
Deployment notes:
Deployment notes:
None
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JY-19957
| Remove abanded sympfony debug, compose upgrade
| Remove abanded sympfony debug, compose upgrade
12 / 21 checks OK
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Summary
Summary
Clean, focused PR that removes the abandoned
symfony/debug
4.x package and upgrades a batch of Composer dependencies. The code change in
Worker.php
is the only functional diff — the rest is lock-file churn.
app/Queue/Worker/Worker.php
app/Queue/Worker/Worker.php
Change: drop
FatalThrowableError
wrapper
(
app/Queue/Worker/Worker.php:77-84
)
// Before
new
FatalThrowableError(
$
e
)
// After
$
e,
Copy code to clipboard
Symfony\Component\Debug\Exception\FatalThrowableError
was a PHP 5.x/7.0-era shim that converted
Throwable
into an
Exception
so older frameworks (that only caught
\Exception
) could handle it. Modern Laravel (10+) already accepts
Throwable
in
handleJobException
, so the wrapper is both redundant and pulled from an abandoned package. The change is correct.
One thing to verify:
the parent
Illuminate\Queue\Worker::handleJobException
signature. In Laravel 10+ it is
protected function handleJobException($connectionName, $job, WorkerOptions $options, Throwable $e)
, so passing
$e
directly is fine. If your project is on an older Laravel branch that typed the parameter as
\Exception
, this would be a silent type mismatch at runtime. Confirm this with the Laravel version in
composer.json
.
composer.json
composer.json
Removal of
"symfony/debug": "^4.4"
is correct — the package has been archived/abandoned since Symfony 5. No concerns.
composer.lock highlights
composer.lock
highlights
24slides/laravel-saml2
: 2.4.2 → 2.5.2
The repository source changed from
24Slides/laravel-saml2
to
scaler-tech/laravel-saml2
. Notably, the new lock entry also contains:
"abandoned"
:
"
scaler-tech/laravel-saml2
"
Copy code to clipboard
This means Composer will emit a deprecation warning on every
install
/
update
for this package. Worth investigating whether there's an actively maintained fork to migrate to, or whether this is a self-referential marker that will be resolved in a future release.
aws/aws-sdk-php-laravel
: 3.10.0 → 3.11.0
The new version drops Laravel 6–8 support (
illuminate/support
now requires
^9.0+
). Confirm the project is on Laravel 9+.
vimeo/psalm
: 6.5.0 → 6.16.1
A large jump (11 minor versions). Worth running Psalm on the codebase after this upgrade to catch any new analysis errors introduced by updated rules.
General dependency updates
(
aws/aws-sdk-php
,
bepsvpt/secure-headers
,
jane-php/*
,
symfony/*
,
thecodingmachine/safe
, etc.) all look like routine patch/minor bumps with no red flags.
Minor notes
Minor notes
The PR description still has the template placeholder
JIRA: JY-XXXX
— worth updating to the actual ticket.
Overall this is a straightforward housekeeping PR. The main action item is confirming the SAML2 abandoned-package warning and the Laravel version compatibility for the
handleJobException
signature change.
Add or remove reactions
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
closed this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
removed request for
LakyLak
LakyLak
,
Vasil-Jiminny
Vasil-Jiminny
,
ilian-jiminny
ilian-jiminny
and
yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
added
2
commits
2 weeks ago
2 weeks ago
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.locl
| Update composer.locl
16 / 19 checks OK
574315f
574315f
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.lock with correct dep
| Update composer.lock with correct dep
21 / 22 checks OK
0c1f2f3
0c1f2f3
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
reopened this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
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requested review from
LakyLak
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@ilian-jiminny
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ilian-jiminny commented 2 weeks ago
ilian-jiminny
ilian-jiminny
commented
2 weeks ago
2 weeks ago
Just to note:
This will change all sentry errors and old ones will appear as new.
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nikolaybiaivanov commented 2 weeks ago
nikolaybiaivanov
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commented
2 weeks ago
2 weeks ago
Just to note: This will change all sentry errors and old ones will appear as new.
thx, understood. We don't have any other option unfortunately the package was abandoned.
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yalokin-jiminny
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@nikolaybiaivanov
Merge branch 'master' into
Merge branch 'master' into
JY-19957
JY-19957
-upgrade-be-libraries-apr
-upgrade-be-libraries-apr
Verified
Verified
23 / 23 checks OK
316c3ef
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enabled auto-merge
2 weeks ago
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sonarqubecloud Bot commented 2 weeks ago
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2 weeks ago
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Quality Gate Passed Quality Gate passed
Quality Gate Passed
Quality Gate passed...
|
32599
|
NULL
|
NULL
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NULL
|
|
32602
|
1251
|
33
|
2026-05-13T09:29:39.283504+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664579283_m2.jpg...
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JY-19957 | Remove abanded sympfony debug, compose JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app — Work...
|
1
|
github.com/jiminny/app/pull/12022
|
monitor_2
|
NULL
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NULL
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NULL
|
NULL
|
Medium vulnerabilities identified in packages are Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
app.vanta.com
[JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade #12022 Edit title
JY-19957 | Remove abanded sympfony debug, compose upgrade
#
12022
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Code
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Merged
nikolaybiaivanov
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merged 4 commits into
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JY-19957-upgrade-be-libraries-apr
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JIRA: JY-XXXX
JIRA: JY-XXXX
Deployment notes:
Deployment notes:
None
Add or remove reactions
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JY-19957
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| Remove abanded sympfony debug, compose upgrade
| Remove abanded sympfony debug, compose upgrade
12 / 21 checks OK
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Summary
Summary
Clean, focused PR that removes the abandoned
symfony/debug
4.x package and upgrades a batch of Composer dependencies. The code change in
Worker.php
is the only functional diff — the rest is lock-file churn.
app/Queue/Worker/Worker.php
app/Queue/Worker/Worker.php
Change: drop
FatalThrowableError
wrapper
(
app/Queue/Worker/Worker.php:77-84
)
// Before
new
FatalThrowableError(
$
e
)
// After
$
e,
Copy code to clipboard
Symfony\Component\Debug\Exception\FatalThrowableError
was a PHP 5.x/7.0-era shim that converted
Throwable
into an
Exception
so older frameworks (that only caught
\Exception
) could handle it. Modern Laravel (10+) already accepts
Throwable
in
handleJobException
, so the wrapper is both redundant and pulled from an abandoned package. The change is correct.
One thing to verify:
the parent
Illuminate\Queue\Worker::handleJobException
signature. In Laravel 10+ it is
protected function handleJobException($connectionName, $job, WorkerOptions $options, Throwable $e)
, so passing
$e
directly is fine. If your project is on an older Laravel branch that typed the parameter as
\Exception
, this would be a silent type mismatch at runtime. Confirm this with the Laravel version in
composer.json
.
composer.json
composer.json
Removal of
"symfony/debug": "^4.4"
is correct — the package has been archived/abandoned since Symfony 5. No concerns.
composer.lock highlights
composer.lock
highlights
24slides/laravel-saml2
: 2.4.2 → 2.5.2
The repository source changed from
24Slides/laravel-saml2
to
scaler-tech/laravel-saml2
. Notably, the new lock entry also contains:
"abandoned"
:
"
scaler-tech/laravel-saml2
"
Copy code to clipboard
This means Composer will emit a deprecation warning on every
install
/
update
for this package. Worth investigating whether there's an actively maintained fork to migrate to, or whether this is a self-referential marker that will be resolved in a future release.
aws/aws-sdk-php-laravel
: 3.10.0 → 3.11.0
The new version drops Laravel 6–8 support (
illuminate/support
now requires
^9.0+
). Confirm the project is on Laravel 9+.
vimeo/psalm
: 6.5.0 → 6.16.1
A large jump (11 minor versions). Worth running Psalm on the codebase after this upgrade to catch any new analysis errors introduced by updated rules.
General dependency updates
(
aws/aws-sdk-php
,
bepsvpt/secure-headers
,
jane-php/*
,
symfony/*
,
thecodingmachine/safe
, etc.) all look like routine patch/minor bumps with no red flags.
Minor notes
Minor notes
The PR description still has the template placeholder
JIRA: JY-XXXX
— worth updating to the actual ticket.
Overall this is a straightforward housekeeping PR. The main action item is confirming the SAML2 abandoned-package warning and the Laravel version compatibility for the
handleJobException
signature change.
Add or remove reactions
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
closed this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
removed request for
LakyLak
LakyLak
,
Vasil-Jiminny
Vasil-Jiminny
,
ilian-jiminny
ilian-jiminny
and
yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
added
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2 weeks ago
2 weeks ago
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.locl
| Update composer.locl
16 / 19 checks OK
574315f
574315f
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.lock with correct dep
| Update composer.lock with correct dep
21 / 22 checks OK
0c1f2f3
0c1f2f3
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
reopened this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
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requested review from
LakyLak
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Vasil-Jiminny
Vasil-Jiminny
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ilian-jiminny
ilian-jiminny
and
yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
@ilian-jiminny
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ilian-jiminny commented 2 weeks ago
ilian-jiminny
ilian-jiminny
commented
2 weeks ago
2 weeks ago
Just to note:
This will change all sentry errors and old ones will appear as new.
Add or remove reactions
react with thumbs up
👍
1
@nikolaybiaivanov
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Author
nikolaybiaivanov commented 2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
commented
2 weeks ago
2 weeks ago
Just to note: This will change all sentry errors and old ones will appear as new.
thx, understood. We don't have any other option unfortunately the package was abandoned.
Add or remove reactions
yalokin-jiminny
yalokin-jiminny
yalokin-jiminny
approved these changes
2 weeks ago
2 weeks ago
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Vasil-Jiminny
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Vasil-Jiminny
approved these changes
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ilian-jiminny
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ilian-jiminny
approved these changes
2 weeks ago
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@nikolaybiaivanov
Merge branch 'master' into
Merge branch 'master' into
JY-19957
JY-19957
-upgrade-be-libraries-apr
-upgrade-be-libraries-apr
Verified
Verified
23 / 23 checks OK
316c3ef
316c3ef
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
enabled auto-merge
2 weeks ago
2 weeks ago
@sonarqubecloud
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sonarqubecloud Bot commented 2 weeks ago
sonarqubecloud...
|
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ago","depth":13,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXLink","text":"sonarqubecloud","depth":15,"on_screen":false,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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2332319375323548625
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-473971620308330350
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visual_change
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accessibility
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NULL
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Medium vulnerabilities identified in packages are Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
app.vanta.com
[JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade #12022 Edit title
JY-19957 | Remove abanded sympfony debug, compose upgrade
#
12022
Edit title
Code
Code
Merged
nikolaybiaivanov
nikolaybiaivanov
merged 4 commits into
master
master
from
JY-19957-upgrade-be-libraries-apr
JY-19957-upgrade-be-libraries-apr
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2 weeks ago
Lines changed: 14 additions & 85 deletions
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nikolaybiaivanov commented 2 weeks ago
nikolaybiaivanov
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commented
2 weeks ago
2 weeks ago
JIRA: JY-XXXX
JIRA: JY-XXXX
Deployment notes:
Deployment notes:
None
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@nikolaybiaivanov
JY-19957
JY-19957
| Remove abanded sympfony debug, compose upgrade
| Remove abanded sympfony debug, compose upgrade
12 / 21 checks OK
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requested review from
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nikolaybiaivanov commented 2 weeks ago
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2 weeks ago
2 weeks ago
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claude Bot commented 2 weeks ago •
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Summary
Summary
Clean, focused PR that removes the abandoned
symfony/debug
4.x package and upgrades a batch of Composer dependencies. The code change in
Worker.php
is the only functional diff — the rest is lock-file churn.
app/Queue/Worker/Worker.php
app/Queue/Worker/Worker.php
Change: drop
FatalThrowableError
wrapper
(
app/Queue/Worker/Worker.php:77-84
)
// Before
new
FatalThrowableError(
$
e
)
// After
$
e,
Copy code to clipboard
Symfony\Component\Debug\Exception\FatalThrowableError
was a PHP 5.x/7.0-era shim that converted
Throwable
into an
Exception
so older frameworks (that only caught
\Exception
) could handle it. Modern Laravel (10+) already accepts
Throwable
in
handleJobException
, so the wrapper is both redundant and pulled from an abandoned package. The change is correct.
One thing to verify:
the parent
Illuminate\Queue\Worker::handleJobException
signature. In Laravel 10+ it is
protected function handleJobException($connectionName, $job, WorkerOptions $options, Throwable $e)
, so passing
$e
directly is fine. If your project is on an older Laravel branch that typed the parameter as
\Exception
, this would be a silent type mismatch at runtime. Confirm this with the Laravel version in
composer.json
.
composer.json
composer.json
Removal of
"symfony/debug": "^4.4"
is correct — the package has been archived/abandoned since Symfony 5. No concerns.
composer.lock highlights
composer.lock
highlights
24slides/laravel-saml2
: 2.4.2 → 2.5.2
The repository source changed from
24Slides/laravel-saml2
to
scaler-tech/laravel-saml2
. Notably, the new lock entry also contains:
"abandoned"
:
"
scaler-tech/laravel-saml2
"
Copy code to clipboard
This means Composer will emit a deprecation warning on every
install
/
update
for this package. Worth investigating whether there's an actively maintained fork to migrate to, or whether this is a self-referential marker that will be resolved in a future release.
aws/aws-sdk-php-laravel
: 3.10.0 → 3.11.0
The new version drops Laravel 6–8 support (
illuminate/support
now requires
^9.0+
). Confirm the project is on Laravel 9+.
vimeo/psalm
: 6.5.0 → 6.16.1
A large jump (11 minor versions). Worth running Psalm on the codebase after this upgrade to catch any new analysis errors introduced by updated rules.
General dependency updates
(
aws/aws-sdk-php
,
bepsvpt/secure-headers
,
jane-php/*
,
symfony/*
,
thecodingmachine/safe
, etc.) all look like routine patch/minor bumps with no red flags.
Minor notes
Minor notes
The PR description still has the template placeholder
JIRA: JY-XXXX
— worth updating to the actual ticket.
Overall this is a straightforward housekeeping PR. The main action item is confirming the SAML2 abandoned-package warning and the Laravel version compatibility for the
handleJobException
signature change.
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@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
closed this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
removed request for
LakyLak
LakyLak
,
Vasil-Jiminny
Vasil-Jiminny
,
ilian-jiminny
ilian-jiminny
and
yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
added
2
commits
2 weeks ago
2 weeks ago
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.locl
| Update composer.locl
16 / 19 checks OK
574315f
574315f
@nikolaybiaivanov
JY-19957
JY-19957
| Update composer.lock with correct dep
| Update composer.lock with correct dep
21 / 22 checks OK
0c1f2f3
0c1f2f3
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
reopened this
2 weeks ago
2 weeks ago
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
requested review from
LakyLak
LakyLak
,
Vasil-Jiminny
Vasil-Jiminny
,
ilian-jiminny
ilian-jiminny
and
yalokin-jiminny
yalokin-jiminny
2 weeks ago
2 weeks ago
@ilian-jiminny
Show options
ilian-jiminny commented 2 weeks ago
ilian-jiminny
ilian-jiminny
commented
2 weeks ago
2 weeks ago
Just to note:
This will change all sentry errors and old ones will appear as new.
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nikolaybiaivanov commented 2 weeks ago
nikolaybiaivanov
nikolaybiaivanov
commented
2 weeks ago
2 weeks ago
Just to note: This will change all sentry errors and old ones will appear as new.
thx, understood. We don't have any other option unfortunately the package was abandoned.
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yalokin-jiminny
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approved these changes
2 weeks ago
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approved these changes
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ilian-jiminny
approved these changes
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@nikolaybiaivanov
Merge branch 'master' into
Merge branch 'master' into
JY-19957
JY-19957
-upgrade-be-libraries-apr
-upgrade-be-libraries-apr
Verified
Verified
23 / 23 checks OK
316c3ef
316c3ef
@nikolaybiaivanov
nikolaybiaivanov
nikolaybiaivanov
enabled auto-merge
2 weeks ago
2 weeks ago
@sonarqubecloud
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sonarqubecloud Bot commented 2 weeks ago
sonarqubecloud...
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2026-05-13T09:29:43.289604+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664583289_m2.jpg...
|
Firefox
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NVD - cve-2026-6722 — Work
|
1
|
nvd.nist.gov/vuln/detail/cve-2026-6722
|
monitor_2
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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From (including)
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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From (including)
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Up to (excluding)
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
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From (including)
8.4.0
Up to (excluding)
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
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From (including)
8.5.0
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
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From (including)
8.2.0
Up to (excluding)
8.2.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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Show Matching CPE(s)
From (including)
8.3.0
Up to (excluding)
8.3.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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From (including)
8.4.0
Up to (excluding)
8.4.21
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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Show Matching CPE(s)
From (including)
8.5.0
Up to (excluding)
8.5.6
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
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32602
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32603
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1250
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20
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2026-05-13T09:29:43.289616+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664583289_m1.jpg...
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NVD - cve-2026-6722 — Work
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1
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nvd.nist.gov/vuln/detail/cve-2026-6722
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monitor_1
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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From (including)
8.2.0
Up to (excluding)
8.2.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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From (including)
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Up to (excluding)
8.3.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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From (including)
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
From (including)
8.3.0
From (including)
8.4.0
From (including)
8.5.0
Up to (excluding)
8.2.31
Up to (excluding)
8.3.31
Up to (excluding)
8.4.21
Up to (excluding)
8.5.6
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
2 change records found
show changes
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QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-6722
CVE-2026-6722
NVD Published Date:
05/10/2026
NVD Last Modified:
05/12/2026
Source:
PHP Group
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
(
hide
hide
)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
Up to (excluding)
8.2.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.3.0
Up to (excluding)
8.3.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.4.0
Up to (excluding)
8.4.21
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.5.0
Up to (excluding)
8.5.6
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
From (including)
8.3.0
From (including)
8.4.0
From (including)
8.5.0
Up to (excluding)
8.2.31
Up to (excluding)
8.3.31
Up to (excluding)
8.4.21
Up to (excluding)
8.5.6
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
2 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-6722
CVE-2026-6722
NVD Published Date:
05/10/2026
NVD Last Modified:
05/12/2026
Source:
PHP Group
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Technical Cyber Security Questions:
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32605
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21
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2026-05-13T09:29:43.998503+00:00
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NVD - cve-2026-6722 — Work
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jiminny.atlassian.net/browse/JY-20773
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0...
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4741416960017712548
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-5962957402832258794
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click
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0...
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32603
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NULL
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NULL
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NULL
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32606
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1251
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35
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2026-05-13T09:29:44.011001+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664584011_m2.jpg...
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Firefox
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NVD - cve-2026-6722 — Work
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1
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jiminny.atlassian.net/browse/JY-20773
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monitor_2
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NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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NATIONAL VULNERABILITY DATABASE
NATIONAL VULNERABILITY DATABASE...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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monitor_1
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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phpunit/phpunit:9.6.8
CVE-2026-24765
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Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High...
|
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5972673831429987630
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4088487635816266390
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click
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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nghttp2:1.52.0
CVE-2026-27135
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CVE-2026-6732
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libde265:1.0.11
2 vulnerabilities
7.5
High...
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32609
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1251
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37
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2026-05-13T09:29:46.755165+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664586755_m2.jpg...
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
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Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
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Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
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phpunit/phpunit:9.6.8
CVE-2026-24765
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phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
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Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
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Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
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Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
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High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135...
|
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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339 vulnerabilities
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python3.11:3.11.2
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nghttp2:1.52.0
CVE-2026-27135...
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NULL
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NULL
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NULL
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NULL
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32610
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1250
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23
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2026-05-13T09:29:46.785083+00:00
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-27135
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CVE-2026-6732
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PACKAGE
linux:6.1.164
php/php:8.3.30
glibc:2.36
dpkg:1.21.22...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-24765
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nghttp2:1.52.0
CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
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libde265:1.0.11
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lcms2:2.14
CVE-2026-41254
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CVE-2026-4878
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CVE-2026-41989
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PACKAGE
linux:6.1.164
php/php:8.3.30
glibc:2.36
dpkg:1.21.22...
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2026-05-13T09:29:48.410843+00:00
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jiminny/app/backend-code - Vanta — Work
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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phpunit/phpunit:5.7.27
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phpunit/phpunit:4.8.36
CVE-2026-24765
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phpunit/phpunit:4.4.2
CVE-2026-24765
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High
Due in 30 days
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python3.11:3.11.2
7 vulnerabilities
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High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
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Select row 16
systemd:252.39
4 vulnerabilities
6.7
Medium
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Select row 17
libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
Select row 19
jq:1.6
4 vulnerabilities
6.2
Medium
Due in about 1 month
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request:2.88.2
CVE-2023-28155
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Medium
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accessibility
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
Select row 5
phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
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CVE-2026-27135
7.5
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CVE-2026-6732
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2 vulnerabilities
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CVE-2026-41254
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CVE-2026-4878
7
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CVE-2026-41989
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CVE-2023-28155
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jiminny/app/backend-code - Vanta — Work
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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[JY-20773] User Pilot not receiving events on report generated - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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linux:6.1.164
339 vulnerabilities
9.8
Critical
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php/php:8.3.30
8 vulnerabilities
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glibc:2.36
6 vulnerabilities
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2 vulnerabilities
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phpunit/phpunit:9.6.8
CVE-2026-24765
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CVE-2026-24765
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phpunit/phpunit:5.7.27
CVE-2026-24765
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phpunit/phpunit:4.8.36
CVE-2026-24765
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phpunit/phpunit:4.4.2
CVE-2026-24765
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python3.11:3.11.2
7 vulnerabilities
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nghttp2:1.52.0
CVE-2026-27135
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libxml2:2.9.14+dfsg
CVE-2026-6732
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libde265:1.0.11
2 vulnerabilities
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CVE-2026-41254
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CVE-2026-4878
7
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CVE-2026-41989
6.7
Medium
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4 vulnerabilities
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4 vulnerabilities
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CVE-2023-28155
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PACKAGE
linux:6.1.164
php/php:8.3.30
glibc:2.36
dpkg:1.21.22
phpunit/phpunit:9.6.8
phpunit/phpunit:8.5.21
phpunit/phpunit:5.7.27
phpunit/phpunit:4.8.36
phpunit/phpunit:4.4.2
python3.11:3.11.2
nghttp2:1.52.0
libxml2:2.9.14+dfsg
libde265:1.0.11
lcms2:2.14
libcap2:2.66
systemd:252.39
libgcrypt20:1.10.1
curl:7.88.1
jq:1.6
request:2.88.2
SOURCES
VULNERABILITIES
339 vulnerabilities
8 vulnerabilities
6 vulnerabilities
2 vulnerabilities
CVE-2026-24765
CVE-2026-24765
CVE-2026-24765
CVE-2026-24765
CVE-2026-24765
7 vulnerabilities
CVE-2026-27135
CVE-2026-6732
2 vulnerabilities
CVE-2026-41254
CVE-2026-4878
4 vulnerabilities
CVE-2026-41989
4 vulnerabilities
4 vulnerabilities
CVE-2023-28155
SCORE
9.8
—
8.4
8.2
7.8
7.8
7.8
7.8
7.8
7.5
7.5
7.5
7.5
7.5
7
6.7
6.7
6.5
6.2
6.1
SEVERITY
Critical
Critical
High
High...
|
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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PACKAGE
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Select row 1
linux:6.1.164
339 vulnerabilities
9.8
Critical
Due in 14 days
Select row 2
php/php:8.3.30
8 vulnerabilities
—
Critical
Due in 14 days
Select row 3
glibc:2.36
6 vulnerabilities
8.4
High
Due in 30 days
Select row 4
dpkg:1.21.22
2 vulnerabilities
8.2
High
Due in 30 days
Select row 5
phpunit/phpunit:9.6.8
CVE-2026-24765
7.8
High
Due in 30 days
Select row 6
phpunit/phpunit:8.5.21
CVE-2026-24765
7.8
High
Due in 30 days
Select row 7
phpunit/phpunit:5.7.27
CVE-2026-24765
7.8
High
Due in 30 days
Select row 8
phpunit/phpunit:4.8.36
CVE-2026-24765
7.8
High
Due in 30 days
Select row 9
phpunit/phpunit:4.4.2
CVE-2026-24765
7.8
High
Due in 30 days
Select row 10
python3.11:3.11.2
7 vulnerabilities
7.5
High
Due in 30 days
Select row 11
nghttp2:1.52.0
CVE-2026-27135
7.5
High
Due in 30 days
Select row 12
libxml2:2.9.14+dfsg
CVE-2026-6732
7.5
High
Due in 30 days
Select row 13
libde265:1.0.11
2 vulnerabilities
7.5
High
Due in 30 days
Select row 14
lcms2:2.14
CVE-2026-41254
7.5
High
Due in 30 days
Select row 15
libcap2:2.66
CVE-2026-4878
7
High
Due in 30 days
Select row 16
systemd:252.39
4 vulnerabilities
6.7
Medium
Due in about 1 month
Select row 17
libgcrypt20:1.10.1
CVE-2026-41989
6.7
Medium
Due in about 1 month
Select row 18
curl:7.88.1
4 vulnerabilities
6.5
Medium
Due in about 1 month
Select row 19
jq:1.6
4 vulnerabilities
6.2
Medium
Due in about 1 month
Select row 20
request:2.88.2
CVE-2023-28155
6.1
Medium
Due in about 1 month
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PACKAGE
linux:6.1.164
php/php:8.3.30
glibc:2.36
dpkg:1.21.22
phpunit/phpunit:9.6.8
phpunit/phpunit:8.5.21
phpunit/phpunit:5.7.27
phpunit/phpunit:4.8.36
phpunit/phpunit:4.4.2
python3.11:3.11.2
nghttp2:1.52.0
libxml2:2.9.14+dfsg
libde265:1.0.11
lcms2:2.14
libcap2:2.66
systemd:252.39
libgcrypt20:1.10.1
curl:7.88.1
jq:1.6
request:2.88.2
SOURCES
VULNERABILITIES
339 vulnerabilities
8 vulnerabilities
6 vulnerabilities
2 vulnerabilities
CVE-2026-24765
CVE-2026-24765
CVE-2026-24765
CVE-2026-24765
CVE-2026-24765
7 vulnerabilities
CVE-2026-27135
CVE-2026-6732
2 vulnerabilities
CVE-2026-41254
CVE-2026-4878
4 vulnerabilities
CVE-2026-41989
4 vulnerabilities
4 vulnerabilities
CVE-2023-28155
SCORE
9.8
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8.4
8.2
7.8
7.8
7.8
7.8
7.8
7.5
7.5
7.5
7.5
7.5
7
6.7
6.7
6.5
6.2
6.1
SEVERITY
Critical
Critical
High
High...
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NULL
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NULL
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NULL
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NULL
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32613
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1251
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39
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2026-05-13T09:29:51.434922+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664591434_m2.jpg...
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Firefox
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NVD - cve-2026-6722 — Work
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1
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nvd.nist.gov/vuln/detail/cve-2026-6722
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monitor_2
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NULL
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NULL
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NULL
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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URL
Source(s)
Tag(s)
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
2 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-6722
CVE-2026-6722
NVD Published Date:
05/10/2026
NVD Last Modified:
05/12/2026
Source:
PHP Group
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visual_change
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
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[JY-19958] Upgrade BE libraries - May - Jira
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jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
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[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
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URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
2 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-6722
CVE-2026-6722
NVD Published Date:
05/10/2026
NVD Last Modified:
05/12/2026
Source:
PHP Group
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NVD - cve-2026-6722 — Work
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1
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
Close tab
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
Metrics
Metrics
CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
References to Advisories, Solutions, and Tools
References to Advisories, Solutions, and Tools
By selecting these links, you will be leaving NIST webspace. We have provided these links to other web sites because they may have information that would be of interest to you. No inferences should be drawn on account of other sites being referenced, or not, from this page. There may be other web sites that are more appropriate for your purpose. NIST does not necessarily endorse the views expressed, or concur with the facts presented on these sites. Further, NIST does not endorse any commercial products that may be mentioned on these sites. Please address comments about this page to
[EMAIL]
[EMAIL]
.
URL
Source(s)
Tag(s)
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
Up to (excluding)
8.2.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.3.0
Up to (excluding)
8.3.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.4.0
Up to (excluding)
8.4.21
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.5.0
Up to (excluding)
8.5.6
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
From (including)
8.3.0
From (including)
8.4.0
From (including)
8.5.0
Up to (excluding)
8.2.31
Up to (excluding)
8.3.31
Up to (excluding)
8.4.21
Up to (excluding)
8.5.6
Denotes Vulnerable Software
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.
Change History
Change History
2 change records found
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QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-6722
CVE-2026-6722
NVD Published Date:
05/10/2026
NVD Last Modified:
05/12/2026
Source:
PHP Group
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
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[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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CVE-2026-6722 Detail
CVE-2026-6722
Detail
Description
Description
In PHP versions 8.2.* before 8.2.31, 8.3.* before 8.3.31, 8.4.* before 8.4.21, and 8.5.* before 8.5.6, the SOAP extension's object deduplication mechanism stores pointers to PHP objects in a global map without incrementing their reference counts. When an apache:Map node contains duplicate keys, processing the second entry overwrites the first in the temporary result map, freeing the original PHP object while its stale pointer remains in the map. A subsequent href reference to the freed node can copy the dangling pointer into the result. As PHP string allocations can reclaim the freed memory region, an attacker with control over the SOAP request body can exploit this use-after-free to achieve remote code execution.
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CVSS Version 4.0
CVSS Version 3.x
CVSS Version 2.0
NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 3.x Severity and Vector Strings:
NIST:
NVD
Base Score:
9.8 CRITICAL
9.8 CRITICAL
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
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Source(s)
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https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
PHP Group
Vendor Advisory
URL
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
https://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5
Source(s)
PHP Group
Tag(s)
Vendor Advisory
Weakness Enumeration
Weakness Enumeration
CWE-ID
CWE Name
Source
CWE-416
CWE-416
Use After Free
PHP Group
CWE-ID
CWE-416
CWE-416
CWE Name
Use After Free
Source
PHP Group
Known Affected Software Configurations Switch to CPE 2.2
Known Affected Software Configurations
Switch to CPE 2.2
Switch to CPE 2.2
Configuration 1
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
Up to (excluding)
8.2.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.3.0
Up to (excluding)
8.3.31
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.4.0
Up to (excluding)
8.4.21
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.5.0
Up to (excluding)
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cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
cpe:2.3:a:php:php:*:*:*:*:*:*:*:*
Show Matching CPE(s)
Show Matching CPE(s)
From (including)
8.2.0
From (including)
8.3.0
From (including)
8.4.0
From (including)
8.5.0
Up to (excluding)
8.2.31
Up to (excluding)
8.3.31
Up to (excluding)
8.4.21
Up to (excluding)
8.5.6
Denotes Vulnerable Software
Are we missing a CPE here? Please let us know
Are we missing a CPE here? Please let us know
.
Change History
Change History
2 change records found
show changes
show changes
QUICK INFO
QUICK INFO
CVE Dictionary Entry:
CVE-2026-6722
CVE-2026-6722
NVD Published Date:
05/10/2026
NVD Last Modified:
05/12/2026
Source:
PHP Group
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2026-05-13T09:30:06.493983+00:00
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Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Today at 12:29:32 PM
12:29
как стигна до Worker
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James Graham, Direct Message, 1 of 15 suggestions
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Switch workspaces… (Jiminny Inc) Has new messages
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Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
Screenshot 2026-05-13 at 11.01.01.png
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Today at 12:29:32 PM
12:29
как стигна до Worker
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James Graham, Direct Message, 1 of 15 suggestions
Nikolay Ivanov is typing
SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)9 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS / 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4→ NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4→ NAS / 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS /199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4→ NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityLaterlhlSupport Daily - in 2 h 30 m100% (C478•Wed 13 May 12:30:06-QDescribe what you are looking forJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...Nikolay Ivanov6 0• Messages+° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev. Galya DimitrovaRo Steliyan GeorgievLo Petko KashinskiR. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...AppsAdd canvasO FilesLukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerJira CloudMessage Nikolay IvanovToast...
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Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Today at 12:29:32 PM
12:29
как стигна до Worker
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James Graham, Direct Message, 1 of 15 suggestions
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Switch workspaces… (Jiminny Inc) Has new messages
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Today at 11:00:45 AM
11:00
къде точно
Lukas Kovalik
Today at 11:00:48 AM
11:00 AM
например това може ли да отвориш
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
https://app.vanta.com/c/jiminny.com/tests/packages-checked-for-vulnerabilities-v2-records-closed-github-dependabot-low?tab=results
Nikolay Ivanov
Today at 11:01:07 AM
11:01 AM
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Lukas Kovalik
Today at 11:01:33 AM
11:01 AM
мен все ме праща на
https://app.vanta.com/c/jiminny.com/employee/onboarding
https://app.vanta.com/c/jiminny.com/employee/onboarding
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Nikolay Ivanov
Today at 11:01:50 AM
11:01 AM
Хм, Джейс дали не може да ти помогне?
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Lukas Kovalik
Today at 11:01:52 AM
11:01 AM
ще питам James, предполагам че нямам права
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Today at 11:01:56 AM
11:01
да мерси
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Nikolay Ivanov
Today at 11:01:56 AM
11:01 AM
мда
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Today at 11:01:58 AM
11:01
моля
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Lukas Kovalik
Today at 12:13:43 PM
12:13 PM
Ники сори, още един въпрос имам
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Today at 12:14:12 PM
12:14
когато ги правеше ти FE ли оправя
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Today at 12:15:18 PM
12:15
има vulnerabilities по npm
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Nikolay Ivanov
Today at 12:28:03 PM
12:28 PM
не
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Today at 12:28:17 PM
12:28
тях ги оставям
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Lukas Kovalik
Today at 12:29:00 PM
12:29 PM
аз погледнах твоя тикет и там друго нямаше само FE
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Today at 12:29:32 PM
12:29
как стигна до Worker
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E jiminny• iCloud Drive283 Sync folderO DXP4800PLUS-B5F A® Network• Orange• Red• Yellow• Green• Blue• PurpleO All Tags.• Svstem Audio (outout) 2026-05-13 06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4• System Audio (output)_2026-05-13_06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4• System Audio (output)_2026-05-13_06-19-25.mp4e (input)_2026-05-13_06-18-55.mp/• System Audio (output)_2026-05-13_06-18-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-18-25.mp4• System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input)_2026-05-13_06-17-55.mр4• System Audio (output) 2026-05-13 06-17-55.mp4• MacBook Pro Microphone (input) 2026-05-13_ 06-17-25.mp41 Audio (output)_2026-05-13_06-17-25.mp4• MacBook Pro Microphone (input)_2026-05-13_06-16-53.mp4System Audio (output)_2026-05-13_06-16-53.mp4MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4input)_2026-05-12_18-26-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4D MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp42026-05-12 18-23-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-23-26.mo4|D MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4• MacBook Pro Micinput)_2026-05-12_18-22-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-21-56.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-26.mn/MacBook Pro Microphone (input)_2026-05-12_18-20-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4MacBook Pro Microphone (inout) 2026-05-12 18-19-57 mo4‹ $0 lihl f Support Daily - in 2h 30 m[БГ100% C42 8• Wed 13 May 12:30:06Onvd.nist.gov/vuln/detail/cve-2026-67222 (UY-19967] Upgrade Python and lit(Dependabot alerts • jiminny/prophe(UY-19958) Upgrade BE libraries -jiminny/app/backend-code - VantaLow vulnerabilities identified in pacp/backend-code - Vanta1 NVD - cve-2026-6722.(UY-20773) User Pilot not receivins( JY-19957 | Remove abanded symp§ Project Phoenix - FigmaTypeError: League\Flysystem|Files)•New TabU Userpilot | Ask Jiminny Report Gen+ (SRD-6848) Sidekick SMS issue -(UY-19957) Upgrade BE libraries -JY-19957 | Remove abanded smp2 Hich vulnerabilities identified in oaMedium vulnerabiliies identified inLow vulnerabilities identified in pac+ New Tabthese sites. Please address commeants about this page [EMAIL]://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5Source(s)PHP GroupWeakness EnumerationCWE-IDCWE-416CWE NameUse After FreeSourcePHP GroupKnown Affected Software Configurations Switch to CPE2.2Configuration 1 (hide)# сре:2.3:a:php:php[PASSWORD_DOTS]Show Matching .CPE(s)~# сре:2.3:a:php:php:[PASSWORD_DOTS]Show Matching CPE(s)*# срe:2.3:a:php:php*******;*Show Matching CPE(s)~# cpe:2.3:a:php:php[PASSWORD_DOTS]:*Show Matching CPE(s)-From (including) Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].21From (including)8.5.0Up to (excluding)8.5.6*E Denotes Vulnerable SoftwareAre we missing a CPE here? Please let us know.Change History2 change records found show changesTag(s)Vendor Advisory)HEADQUARTERSIncident Resnonse Assistance and Non-NVD RelatedlTechnical Cvber Securitv Questions.Us-CERt Security Onerations CenteEmail: [EMAIL]: 1-[PHONE]Webmaster | Contact Us | Our Other OfficesSite Privacy | Accessibility | Privacy Program | Copyrights | Vulnerability Disclosure | No Fear Act Policy | FOIA | Environmental Policy. | Scientific Integrity. | Information Quality Standards | Commerce, gov | Science,gov | USA.gov...
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Project Phoenix – Figma — Work
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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Userpilot | Ask Jiminny Report Generated
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)9 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS / 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4→ NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4→ NAS / 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS /199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4→ NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityLaterlhlSupport Daily - in 2 h 30 m100% (C478•Wed 13 May 12:30:14-QDescribe what you are looking forJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...Nikolay Ivanov6 0• Messages+° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev®. Galya DimitrovaRo Steliyan GeorgievLo Petko KashinskiR. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...AppsAdd canvasO FilesLukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerJira CloudMessage Nikolay IvanovToast...
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Project Phoenix – Figma — Work
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www.figma.com/design/jXcUe1y9mx5Fiz8KosLAUn/Projec www.figma.com/design/jXcUe1y9mx5Fiz8KosLAUn/Project-Phoenix?node-id=15100-49503&t=fpVSk8URg5UjOGfG-0...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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New Tab
Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
Project Phoenix – Figma
Project Phoenix – Figma
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TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
E jiminny• iCloud Drive223 Sync folderO DXP4800PLUS-B5F A® Network• Orange• Red• Yellow• Green• Blue• Purple• All Tags.• System Audio (output) 2026-05-13 06-20-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-19-55.mp4• System Audio (output)_2026-05-13_06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4• System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input)_2026-05-13_06-18-55.mp4• System Audio (output)_2026-05-13_06-18-55.mp4System Audio (output)_2026-05-13_06-16-53.mp4MatBook Pro Mcropione (nри) 2028-05-12.18-45-28.пра.D MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp42026-05-12_18-28-56.mр4• MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4• MacBook Pro Microphone (input)_ 2026-05-12_18-26-26.mр4• MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4D MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4licrophone (input) 2026-05-12 18-23-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-23-26.mo4|D MacBook Pro Microphone (input)_2026-05-12_18-22-56.mp4• MacBook Pro Micinput)_2026-05-12_18-22-26.mp4MacBook Pro Microphone (input)_2026-05-12_18-21-56.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-26.mn/MacBook Pro Microphone (input)_2026-05-12_18-20-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4MacBook Pro Microphone (inout) 2026-05-12 18-19-57 mo4‹ $0 lihl f Support Daily - in 2h 30 m100% C42 8• Wed 13 May 12:30:14Onvd.nist.gov/vuln/detail/cve-2026-67222 [UY-19967) Upgrade Python and lil(Dependabot alerts • jiminny/prophe(UY-19958) Upgrade BE libraries -liminny/app/backend-code - VantaLow vulnerabilities identified in pacbp/backend-code - Vanta1 NVD - cve-2026-6722.(UY-20773) User Pilot not receivins( JY-19957 | Remove abanded sympProject Phoenix - FigmaTypeError: League\Flysystem|Files)•New TabU Userpilot | Ask Jiminny Report Gen(SRD-6848] Sidekick SMS issue -(UY-19957) Upgrade BE libraries -( JY-19957 | Remove abanded symp2 Hich vulnerabilities identified in paMedium vulnerabilities identified inLow vulnerabilities identified in pac+ New Tabthese sites. Please address commeants about this page [EMAIL]://github.com/php/php-src/security/advisories/GHSA-85c2-q967-79q5Source(s)PHP GroupWeakness EnumerationCWE-IDCWE-416CWE NameUse After FreeSourcePHP GroupKnown Affected Software Configurations Switch to CPE2.2Configuration 1 (hide)# сре:2.3:a:php:php[PASSWORD_DOTS]Show Matching .CPE(s)~# сре:2.3:a:php:php:[PASSWORD_DOTS]Show Matching CPE(s)*# срe:2.3:a:php:php*******;*Show Matching CPE(s)~# cpe:2.3:a:php:php[PASSWORD_DOTS]:*Show Matching CPE(s)-From (including) Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].31From (including)Up to (excluding)[IP_ADDRESS].21From (including)8.5.0Up to (excluding)8.5.6*E Denotes Vulnerable SoftwareAre we missing a CPE here? Please let us know.Change History2 change records found show changesTag(s)Vendor Advisory)HEADQUARTERSIncident Resnonse Assistance and Non-NVD RelatedlTechnical Cvber Securitv Questions.Us-CERt Security Onerations CenteEmail: [EMAIL]: 1-[PHONE]Webmaster | Contact Us | Our Other OfficesSite Privacy | Accessibility | Privacy Program | Copyrights | Vulnerability Disclosure | No Fear Act Policy | FOIA | Environmental Policy. | Scientific Integrity. | Information Quality Standards | Commerce, gov | Science,gov | USA.gov...
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TypeError: League\Flysystem\Filesystem::has(): Arg TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app — Work...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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a day ago
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php
8.3.30
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6.1.164-196.303.amzn2023.aarch64
884981
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production
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6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Open this line in GitHub
In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
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|
6893360333445470183
|
-203332870659917774
|
visual_change
|
accessibility
|
NULL
|
[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
production-eu, production
production-eu, production
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release 13% 881233
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881233
environment 100% production
environment
100%
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runtime 100% php 8.3.30
runtime
100%
php 8.3.30
mechanism 100% generic
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ID: 2dc71891
a day ago
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
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Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
Show 1 more frame
Show 1 more frame
/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Open this line in GitHub
In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
Show 17 more frames
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32617
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32620
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43
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2026-05-13T09:30:16.627912+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664616627_m2.jpg...
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Firefox
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TypeError: League\Flysystem\Filesystem::has(): Arg TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app — Work...
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1
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jiminny.sentry.io/issues/6873095751/?environment=p jiminny.sentry.io/issues/6873095751/?environment=production-eu&environment=production&project=82419&query=is%3Aunresolved&referrer=issue-stream&sort=freq...
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Close tab
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
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production-eu, production
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release 13% 881233
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environment
100%
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runtime 100% php 8.3.30
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mechanism 100% generic
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ID: 2dc71891
a day ago
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
level
error
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--
url
--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
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correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release
884981
884981
runtime
php 8.3.30
name
php
server_name
815790036d37
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Geography
Columbus, United States (US)
Runtime
Name
php
sapi
cli
Version
8.3.30
Operating System
Build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
Kernel Version
Linux 815790036d37 6.1.164-196.303.amzn2023.aarch64 #1 SMP Fri Mar 6 16:11:04 UTC 2026 aarch64
Name...
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5147382613816908160
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visual_change
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accessibility
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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0
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
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error
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--
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--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
Show 1 more frame
Show 1 more frame
/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
Show 14 more frames
/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
Show 17 more frames
Show 17 more frames
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All
All
Custom
Custom
Application
Application
Client
Client
Other
Other
correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release
884981
884981
runtime
php 8.3.30
name
php
server_name
815790036d37
Collapse Contexts Section
Contexts
User
Geography
Columbus, United States (US)
Runtime
Name
php
sapi
cli
Version
8.3.30
Operating System
Build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
Kernel Version
Linux 815790036d37 6.1.164-196.303.amzn2023.aarch64 #1 SMP Fri Mar 6 16:11:04 UTC 2026 aarch64
Name...
|
NULL
|
NULL
|
NULL
|
NULL
|
|
32621
|
1251
|
44
|
2026-05-13T09:30:19.655739+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664619655_m2.jpg...
|
Firefox
|
TypeError: League\Flysystem\Filesystem::has(): Arg TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app — Work...
|
1
|
jiminny.sentry.io/issues/6873095751/?environment=p jiminny.sentry.io/issues/6873095751/?environment=production-eu&environment=production&project=82419&query=is%3Aunresolved&referrer=issue-stream&sort=freq...
|
monitor_2
|
NULL
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NULL
|
NULL
|
NULL
|
[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
Dependabot alerts · jiminny/prophet
Dependabot alerts · jiminny/prophet
[JY-19958] Upgrade BE libraries - May - Jira
[JY-19958] Upgrade BE libraries - May - Jira
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
jiminny/app/backend-code - Vanta
jiminny/app/backend-code - Vanta
NVD - cve-2026-6722
NVD - cve-2026-6722
[JY-20773] User Pilot not receiving events on report generated - Jira
[JY-20773] User Pilot not receiving events on report generated - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
Close tab
New Tab
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Userpilot | Ask Jiminny Report Generated
Userpilot | Ask Jiminny Report Generated
[SRD-6848] Sidekick SMS issue - Jira
[SRD-6848] Sidekick SMS issue - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Users (90d)
Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
2.4K
0
Resolved
/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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Lukas Kovalik
production-eu, production
production-eu, production
90D
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0
release 13% 881233
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13%
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environment 100% production
environment
100%
production
runtime 100% php 8.3.30
runtime
100%
php 8.3.30
mechanism 100% generic
mechanism
100%
generic
View all tags
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a day ago
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Context
php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
Collapse Highlights Section
Highlights
Edit
Edit
handled
yes
level
error
transaction
--
url
--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
Show 1 more frame
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
Copy file path
Open this line in GitHub
In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
Show 14 more frames
Show 14 more frames
/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
Show 17 more frames
Show 17 more frames
Collapse Trace Preview Section
Trace Preview
View Full Trace
View Full Trace
Collapse Section
Tags
All
All
Custom
Custom
Application
Application
Client
Client
Other
Other
correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release...
|
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visual_change
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NULL
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[JY-19967] Upgrade Python and libraries - Apr - Ji [JY-19967] Upgrade Python and libraries - Apr - Jira
[JY-19967] Upgrade Python and libraries - Apr - Jira
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Low vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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NVD - cve-2026-6722
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JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
TypeError: League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218 — jiminny — app
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[SRD-6848] Sidekick SMS issue - Jira
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[JY-19957] Upgrade BE libraries - Apr - Jira
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
JY-19957 | Remove abanded sympfony debug, compose upgrade by nikolaybiaivanov · Pull Request #12022 · jiminny/app
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
High vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
Medium vulnerabilities identified in packages are addressed (GitHub Repo) - Vanta
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Level: Error
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
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/app/Jobs/AutomatedReports/SendReportJob.php in Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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mechanism 100% generic
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a day ago
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php
8.3.30
Linux
6.1.164-196.303.amzn2023.aarch64
884981
884981
production
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handled
yes
level
error
transaction
--
url
--
Trace: Trace ID
6316eb0033c74d84a0827048c7e19f7f
6316eb0033c74d84a0827048c7e19f7f
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TypeError
TypeError
League\Flysystem\Filesystem::has(): Argument #1 ($location) must be of type string, null given, called in /home/jiminny/vendor/laravel/framework/src/Illuminate/Filesystem/FilesystemAdapter.php on line 218
mechanism
generic
handled
true
code
0
Crashed in non-app
:
/vendor/league/flysystem/src/Filesystem.php
:46
in
League\Flysystem\Filesystem::has
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/app/Jobs/AutomatedReports/SendReportJob.php
:80
in
Jiminny\Jobs\AutomatedReports\SendReportJob::handle
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In App
75
]
)
;
76
77
$s3Path
=
$automatedReportsService
->
getMediaPath
(
$report
)
;
78
79
// Verify the file exists in S3
80
if
(
!
Storage
::
disk
(
'client-data-cloud'
)
->
exists
(
$s3Path
)
)
{
81
$logger
->
error
(
self
::
LOG_PREFIX
.
' Report file not found in S3'
,
[
82
'uuid'
=>
$this
->
reportUuid
,
83
's3Path'
=>
$s3Path
,
84
]
)
;
85
automatedReportsService
Object Jiminny\Services\Kiosk\AutomatedReports\AutomatedReportsService
jobDispatcher
Object Jiminny\Jobs\JobDispatcher
logger
Object Illuminate\Log\LogManager
Called from
:
/vendor/laravel/framework/src/Illuminate/Container/BoundMethod.php
:36
in
Illuminate\Container\BoundMethod::Illuminate\Container\{closure}
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/app/Queue/Worker/Worker.php
:71
in
Jiminny\Queue\Worker\Worker::process
In App
Called from
:
/vendor/laravel/framework/src/Illuminate/Queue/Worker.php
:435
in
Illuminate\Queue\Worker::runJob
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Application
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Client
Other
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correlation_id
b1c6e693-0843-4d6d-a43e-633969a3541e
environment
production
handled
yes
laravel_version
12.54.1
level
error
mechanism
generic
os
Linux 6.1.164-196.303.amzn2023.aarch64
build
#1 SMP Fri Mar 6 16:11:04 UTC 2026
name
Linux
region
us-east-2
release...
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32620
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NULL
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32623
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1251
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45
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2026-05-13T09:30:20.981984+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664620981_m2.jpg...
|
Firefox
|
Screenpipe — Archive — Personal
|
1
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app.screenpipe.lakylak.xyz
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monitor_2
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NULL
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NULL
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Screenpipe — Archive
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
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Manage extra usage for paid Claude plans | Claude Help Center
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
|
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. 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If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"bounds":{"left":0.16023937,"top":0.30207503,"width":0.13696809,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.068484046,"top":0.3028731,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"bounds":{"left":0.16023937,"top":0.30367118,"width":0.13663563,"height":0.13128492},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.29720744,"top":0.30207503,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.3025266,"top":0.42976856,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"bounds":{"left":0.09208777,"top":0.43216282,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"bounds":{"left":0.08976064,"top":0.4736632,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"bounds":{"left":0.08976064,"top":0.47565842,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.025930852,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.106715426,"top":0.47805268,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.23005319,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.1341423,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"bounds":{"left":0.21492687,"top":0.528332,"width":0.053025264,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.22623006,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"bounds":{"left":0.0787899,"top":0.5885874,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"bounds":{"left":0.0787899,"top":0.59018356,"width":0.08194814,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"bounds":{"left":0.0787899,"top":0.61652035,"width":0.20761304,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"bounds":{"left":0.24883644,"top":0.63846767,"width":0.025099734,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"bounds":{"left":0.0787899,"top":0.63727057,"width":0.22240691,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"bounds":{"left":0.105053194,"top":0.65802073,"width":0.11419548,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.21924867,"top":0.65802073,"width":0.0013297872,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"bounds":{"left":0.0787899,"top":0.6875499,"width":0.22755983,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.27293882,"top":0.7094972,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"bounds":{"left":0.0787899,"top":0.70830005,"width":0.23354389,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"bounds":{"left":0.0787899,"top":0.811253,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"bounds":{"left":0.0787899,"top":0.81284916,"width":0.09840426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"bounds":{"left":0.0787899,"top":0.83918595,"width":0.23254654,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.117519945,"top":0.90263367,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"bounds":{"left":0.0787899,"top":0.90143657,"width":0.23038563,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"bounds":{"left":0.0787899,"top":0.98363924,"width":0.234375,"height":0.01636076},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"bounds":{"left":0.0787899,"top":0.98523545,"width":0.10405585,"height":0.014764547},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.2209109,"height":-0.011572242},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.14660904,"top":1.0,"width":0.011303191,"height":-0.05426979},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.23121676,"height":-0.05307257},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
Show thinking
Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
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Screenpipe — Archive
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Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
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Share and export
Copy
Show more options
Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
Good response
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Copy prompt
Edit
You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
Show thinking
Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
Screenpipe
[archive.db · 763MB]
Activity
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Audio
Work Report
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Date
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05
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2026
Calendar
AUDIO TRANSCRIPTIONS...
|
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Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"bounds":{"left":0.0,"top":0.21333334,"width":0.11666667,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.0,"top":0.29833335,"width":0.003125,"height":0.022777777},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.06736111,"top":1.0,"width":0.027777778,"height":-0.053888917},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", but it helps to understand how ScreenPipe handles language natively first.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Transcription Engine Handles Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Transcription Engine Handles Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"multilingual Whisper model","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and sets the language configuration to","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-Detect","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Advantage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Drawback:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How to Force a Specific Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to Force a Specific Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are using the Desktop App UI:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open the ScreenPipe settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Navigate to the","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI/Transcription","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"section.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Look for the","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper Language","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Transcription Language","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"dropdown.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Change it from \"Auto\" to your specific language (e.g., English, Bulgarian, or Slovak).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are running ScreenPipe via CLI/Config:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can modify your underlying configuration (usually found in","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/pipe.json","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Slovak)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Bulgarian)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(English)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good 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window","depth":17,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy and Gemini","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Screenpipe [archive.db · 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TRANSCRIPTIONS","depth":9,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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Activity
Search
Audio
Work Report
Timetable
AI Summary
Date
12
/
05
/
2026
Calendar
AUDIO TRANSCRIPTIONS...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"bounds":{"left":0.0,"top":0.21333334,"width":0.11666667,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.0,"top":0.29833335,"width":0.003125,"height":0.022777777},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.06736111,"top":1.0,"width":0.027777778,"height":-0.053888917},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":", but it helps to understand how ScreenPipe handles language natively first.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Transcription Engine Handles Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Transcription Engine Handles Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"multilingual Whisper model","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and sets the language configuration to","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-Detect","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Advantage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Drawback:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How to Force a Specific Language","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How to Force a Specific Language","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are using the Desktop App UI:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Open the ScreenPipe settings.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Navigate to the","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"AI/Transcription","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"section.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Look for the","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper Language","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Transcription Language","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"dropdown.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Change it from \"Auto\" to your specific language (e.g., English, Bulgarian, or Slovak).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you are running ScreenPipe via CLI/Config:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You can modify your underlying configuration (usually found in","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/pipe.json","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Slovak)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(Bulgarian)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"(English)","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":23,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":23,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share and export","depth":22,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":22,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Ask Gemini","depth":20,"on_screen":true,"value":"Ask Gemini","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Ask Gemini","depth":21,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Gemini is AI and can make mistakes, including about people.","depth":17,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy and Gemini Opens in a new window","depth":17,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy and Gemini","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Screenpipe [archive.db · 763MB]","depth":7,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Screenpipe","depth":8,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"[archive.db · 763MB]","depth":9,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Activity","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Search","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Audio","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
Show thinking
Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Share and export
Copy
Show more options
Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.05817819,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"bounds":{"left":0.17885639,"top":0.0,"width":0.0034906915,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"bounds":{"left":0.16023937,"top":0.30207503,"width":0.13696809,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.068484046,"top":0.3028731,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"bounds":{"left":0.16023937,"top":0.30367118,"width":0.13663563,"height":0.13128492},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.29720744,"top":0.30207503,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.3025266,"top":0.42976856,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"bounds":{"left":0.09208777,"top":0.43216282,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"bounds":{"left":0.08976064,"top":0.4736632,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"bounds":{"left":0.08976064,"top":0.47565842,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.025930852,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.106715426,"top":0.47805268,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.23005319,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.1341423,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"bounds":{"left":0.21492687,"top":0.528332,"width":0.053025264,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.22623006,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"bounds":{"left":0.0787899,"top":0.5885874,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"bounds":{"left":0.0787899,"top":0.59018356,"width":0.08194814,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"bounds":{"left":0.0787899,"top":0.61652035,"width":0.20761304,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"bounds":{"left":0.24883644,"top":0.63846767,"width":0.025099734,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"bounds":{"left":0.0787899,"top":0.63727057,"width":0.22240691,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"bounds":{"left":0.105053194,"top":0.65802073,"width":0.11419548,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.21924867,"top":0.65802073,"width":0.0013297872,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"bounds":{"left":0.0787899,"top":0.6875499,"width":0.22755983,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.27293882,"top":0.7094972,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"bounds":{"left":0.0787899,"top":0.70830005,"width":0.23354389,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"bounds":{"left":0.0787899,"top":0.811253,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"bounds":{"left":0.0787899,"top":0.81284916,"width":0.09840426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"bounds":{"left":0.0787899,"top":0.83918595,"width":0.23254654,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.117519945,"top":0.90263367,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"bounds":{"left":0.0787899,"top":0.90143657,"width":0.23038563,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"bounds":{"left":0.0787899,"top":0.98363924,"width":0.234375,"height":0.01636076},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"bounds":{"left":0.0787899,"top":0.98523545,"width":0.10405585,"height":0.014764547},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.2209109,"height":-0.011572242},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.14660904,"top":1.0,"width":0.011303191,"height":-0.05426979},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.23121676,"height":-0.05307257},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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yes I will do that. Is there a way to setup languages to transcription?
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.05817819,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"bounds":{"left":0.17885639,"top":0.0,"width":0.0034906915,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false}]...
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Screenpipe — Archive
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
|
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Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). 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Think of this as the raw archive.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. 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Are these used for anything after transcribing and storing in sqlite db?","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. 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When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"bounds":{"left":0.0,"top":0.21333334,"width":0.11666667,"height":0.020555556},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.0,"top":0.29833335,"width":0.003125,"height":0.022777777},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. Is there a way to setup languages to transcription?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes I will do that. Is there a way to setup languages to transcription?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.06736111,"top":1.0,"width":0.027777778,"height":-0.053888917},"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As for setting up languages for transcription,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"yes, you can configure it","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Share and export
Copy
Show more options
Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
Good response
Bad response
Share and export
Copy
Show more options
Copy prompt
Edit
You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
Listen
Show thinking
Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it...
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
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Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
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Google Account: Lukáš Koválik ([EMAIL])
Main menu
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Gemini
New chat
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Share and export
Copy
Show more options
Copy prompt
You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
Expand
Listen
Show thinking
Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
Screenpipe
[archive.db · 763MB]
Activity
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Work Report
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AI Summary
Date
12
/
05
/
2026
Calendar
AUDIO TRANSCRIPTIONS
09:28
MIC
That's it.
09:32
MIC
And now...
09:32
MIC
Thank you.
09:33
MIC
Beijing
09:33
MIC
causing concentreras.
09:35
MIC
you
09:40
MIC
I'm gonna use the handkerchief to make sure that the handkerchief is not too thick.
09:43
MIC
I'm not gonna say that. I'm gonna say that.
09:44
MIC
Thank you.
09:45
SYS
Let's hear. Do you want to run? Run.
09:46
SYS
I'm going to show you. I'm going to show you. I'm going to show you. I'm going to show you.
09:46
SYS
So, you know, you have a lot of support on this side, so you can do it. Okay. Remember, you have to support on the QI. You can support it. You have a lot of pressure. You have to support it. I'm done.
09:47
SYS
You asked... You ready? The record? Di plugins Double Colours? Yes, I want the formal title. It will be 8. I hope you can sign up for this FCO with less ACRAeren Production good-bye. Dear Tricks. Amen.
09:47
SYS
I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. We'll see you in the next one.
09:48
SYS
Good. That's not the end. Is it? I'm going to buy it. You can buy it for me. I'm going. Good. No one is going to buy it. I'll buy it. I'll buy it. Where is the test? all of it.
09:48
SYS
I mean, I don't know how to do it. I mean, I don't know how to do it. I mean, I don't know how to do it. Good. I don't know how to do it. I don't know how to do it. And then.
09:49
SYS
From 36, we've heard from you, from the left, from the right. They... They gave us the same thing. For the other one, for the other one, for the other one. Okay. That's how it looks like.
09:49
SYS
And I do this as a key rate, as you can see. Okay, thank you. And over here, in progress, Nikki. I will show you the first piece of file-shaving application for the case of Google.
09:50
SYS
I have to say that the circle of the people in the world is a single day, so I started to argue. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same.
09:50
SYS
That's what I'm talking about. That's what I'm talking about. I'm talking about the fact that I'm not a professional, but I'm not a professional. I'm talking about the fact that I'm not a professional, but I'm a professional. I'm talking about the fact that I'm a professional. That's what I'm talking about. I'm still there.
09:51
SYS
I mean, the KMOS is very difficult to work with the team. It's a 2-sub-tory deployment. The first step is to make the decision on the team....
|
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.05817819,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"bounds":{"left":0.17885639,"top":0.0,"width":0.0034906915,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21010639,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.011303191,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.0,"width":0.008144947,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.0,"width":0.020944148,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21542554,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.029928172,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.029928172,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.050678372,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"bounds":{"left":0.0787899,"top":0.13288109,"width":0.22456782,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"bounds":{"left":0.0787899,"top":0.18715084,"width":0.036402926,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"bounds":{"left":0.091755316,"top":0.19592977,"width":0.017785905,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"bounds":{"left":0.075465426,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"bounds":{"left":0.08610372,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"bounds":{"left":0.09674202,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"bounds":{"left":0.107380316,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"bounds":{"left":0.11801862,"top":0.23184358,"width":0.010638298,"height":0.025538707},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"bounds":{"left":0.14029256,"top":0.292498,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":21,"bounds":{"left":0.16023937,"top":0.30207503,"width":0.13696809,"height":0.09577015},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"bounds":{"left":0.068484046,"top":0.3028731,"width":0.019946808,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?","depth":23,"bounds":{"left":0.16023937,"top":0.30367118,"width":0.13663563,"height":0.13128492},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Expand","depth":21,"bounds":{"left":0.29720744,"top":0.30207503,"width":0.013297873,"height":0.031923383},"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Listen","depth":24,"bounds":{"left":0.3025266,"top":0.42976856,"width":0.013297873,"height":0.031923383},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"bounds":{"left":0.09208777,"top":0.43216282,"width":0.030917553,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"bounds":{"left":0.08976064,"top":0.4736632,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"bounds":{"left":0.08976064,"top":0.47565842,"width":0.04105718,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Yes, those","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.025930852,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.106715426,"top":0.47805268,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.","depth":27,"bounds":{"left":0.0787899,"top":0.47685555,"width":0.23005319,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is exactly what those files are doing sitting in your","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.1341423,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"bounds":{"left":0.21492687,"top":0.528332,"width":0.053025264,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"directory and how they interact with the rest of the system.","depth":27,"bounds":{"left":0.0787899,"top":0.5271349,"width":0.22623006,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"1. The \"Time Machine\" Playback","depth":26,"bounds":{"left":0.0787899,"top":0.5885874,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. The \"Time Machine\" Playback","depth":27,"bounds":{"left":0.0787899,"top":0.59018356,"width":0.08194814,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the","depth":27,"bounds":{"left":0.0787899,"top":0.61652035,"width":0.20761304,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"bounds":{"left":0.24883644,"top":0.63846767,"width":0.025099734,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"database along with","depth":27,"bounds":{"left":0.0787899,"top":0.63727057,"width":0.22240691,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"precise timestamps and file path references","depth":27,"bounds":{"left":0.105053194,"top":0.65802073,"width":0.11419548,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"bounds":{"left":0.21924867,"top":0.65802073,"width":0.0013297872,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific","depth":27,"bounds":{"left":0.0787899,"top":0.6875499,"width":0.22755983,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.27293882,"top":0.7094972,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.","depth":27,"bounds":{"left":0.0787899,"top":0.70830005,"width":0.23354389,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. Re-processing and Model Upgrades","depth":26,"bounds":{"left":0.0787899,"top":0.811253,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. Re-processing and Model Upgrades","depth":27,"bounds":{"left":0.0787899,"top":0.81284916,"width":0.09840426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw","depth":27,"bounds":{"left":0.0787899,"top":0.83918595,"width":0.23254654,"height":0.07861133},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.117519945,"top":0.90263367,"width":0.011136968,"height":0.014764565},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.","depth":27,"bounds":{"left":0.0787899,"top":0.90143657,"width":0.23038563,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The Source of Truth for Hallucinations","depth":26,"bounds":{"left":0.0787899,"top":0.98363924,"width":0.234375,"height":0.01636076},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The Source of Truth for Hallucinations","depth":27,"bounds":{"left":0.0787899,"top":0.98523545,"width":0.10405585,"height":0.014764547},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.2209109,"height":-0.011572242},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".mp4","depth":28,"bounds":{"left":0.14660904,"top":1.0,"width":0.011303191,"height":-0.05426979},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"file is your fallback source of truth to verify what was actually said.","depth":27,"bounds":{"left":0.0787899,"top":1.0,"width":0.23121676,"height":-0.05307257},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"How the Database Views Them","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"How the Database Views Them","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you were to open up your","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"db.sqlite","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"and query the tables (e.g.,","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"audio_transcriptions","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), you would see that the database treats the","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe/data/","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"soundcore AeroClip (input)_2026-05-12_07-40-48.mp4","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":".","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"What happens if you delete them?","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you manually","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"rm","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a \"file not found\" error in the background logs.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Managing the Storage Footprint","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Managing the Storage Footprint","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe records continuously, this folder will inevitably grow over time.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Built-in Garbage Collection:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Archiving:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you prefer to keep a permanent, searchable \"life log\" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"older","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":24,"on_screen":false,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Share and export","depth":23,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":24,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":23,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said yes I will do that. 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Do you want to run? Run.","depth":10,"bounds":{"left":0.48553857,"top":0.39584997,"width":0.07762633,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:46","depth":10,"bounds":{"left":0.4582779,"top":0.42418197,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.4273743,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I'm going to show you. I'm going to show you. I'm going to show you. I'm going to show you.","depth":10,"bounds":{"left":0.48553857,"top":0.424581,"width":0.19763963,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:46","depth":10,"bounds":{"left":0.4582779,"top":0.45291302,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.45610535,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"So, you know, you have a lot of support on this side, so you can do it. Okay. Remember, you have to support on the QI. You can support it. You have a lot of pressure. You have to support it. I'm done.","depth":10,"bounds":{"left":0.48553857,"top":0.45331204,"width":0.3799867,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:47","depth":10,"bounds":{"left":0.4582779,"top":0.49840382,"width":0.010305851,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.47357047,"top":0.50159615,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You asked... You ready? The record? Di plugins Double Colours? Yes, I want the formal title. It will be 8. I hope you can sign up for this FCO with less ACRAeren Production good-bye. Dear Tricks. Amen.","depth":10,"bounds":{"left":0.48537233,"top":0.49880287,"width":0.3793218,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:47","depth":10,"bounds":{"left":0.4582779,"top":0.54389465,"width":0.010305851,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.47357047,"top":0.547087,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. We'll see you in the next one.","depth":10,"bounds":{"left":0.48537233,"top":0.5442937,"width":0.37799203,"height":0.04708699},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:48","depth":10,"bounds":{"left":0.4582779,"top":0.60614526,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.60933757,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Good. That's not the end. Is it? I'm going to buy it. You can buy it for me. I'm going. Good. No one is going to buy it. I'll buy it. I'll buy it. Where is the test? all of it.","depth":10,"bounds":{"left":0.48553857,"top":0.6065443,"width":0.3465758,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:48","depth":10,"bounds":{"left":0.4582779,"top":0.6348763,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.6380686,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I mean, I don't know how to do it. I mean, I don't know how to do it. I mean, I don't know how to do it. Good. I don't know how to do it. I don't know how to do it. And then.","depth":10,"bounds":{"left":0.48553857,"top":0.63527536,"width":0.36353058,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:49","depth":10,"bounds":{"left":0.4582779,"top":0.66360736,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.66679966,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"From 36, we've heard from you, from the left, from the right. They... They gave us the same thing. For the other one, for the other one, for the other one. Okay. That's how it looks like.","depth":10,"bounds":{"left":0.48553857,"top":0.6640064,"width":0.36901596,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:49","depth":10,"bounds":{"left":0.4582779,"top":0.70909816,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.7122905,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"And I do this as a key rate, as you can see. Okay, thank you. And over here, in progress, Nikki. I will show you the first piece of file-shaving application for the case of Google.","depth":10,"bounds":{"left":0.48553857,"top":0.7094972,"width":0.3715093,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:50","depth":10,"bounds":{"left":0.4582779,"top":0.7378292,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.7410216,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I have to say that the circle of the people in the world is a single day, so I started to argue. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same.","depth":10,"bounds":{"left":0.48553857,"top":0.73822826,"width":0.37965426,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:50","depth":10,"bounds":{"left":0.4582779,"top":0.78332,"width":0.010472074,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4737367,"top":0.7865124,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"That's what I'm talking about. That's what I'm talking about. I'm talking about the fact that I'm not a professional, but I'm not a professional. I'm talking about the fact that I'm not a professional, but I'm a professional. I'm talking about the fact that I'm a professional. That's what I'm talking about. I'm still there.","depth":10,"bounds":{"left":0.48553857,"top":0.78371906,"width":0.3799867,"height":0.030327214},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"09:51","depth":10,"bounds":{"left":0.4582779,"top":0.8288109,"width":0.009807181,"height":0.010774142},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SYS","depth":10,"bounds":{"left":0.4730718,"top":0.8320032,"width":0.0068151597,"height":0.009976057},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"I mean, the KMOS is very difficult to work with the team. It's a 2-sub-tory deployment. The first step is to make the decision on the team.","depth":10,"bounds":{"left":0.48487368,"top":0.8292099,"width":0.2940492,"height":0.013567438},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Screenpipe — Archive
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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You said I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
You said
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4 or soundcore AeroClip (input)_2026-05-12_07-40-48.mp4 or System Audio (output)_2026-05-11_06-17-14.mp4. Are these used for anything after transcribing and storing in sqlite db?
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Gemini said
Gemini said
Yes, those
.mp4
files are absolutely still used after the transcription process is complete. They are not temporary processing chunks; they act as your permanent media archive.
Here is exactly what those files are doing sitting in your
~/.screenpipe/data/
directory and how they interact with the rest of the system.
1. The "Time Machine" Playback
1. The "Time Machine" Playback
The primary reason ScreenPipe keeps these files is for audio playback. When Whisper transcribes your meetings or ambient audio, it writes the text into the
db.sqlite
database along with
precise timestamps and file path references
.
When you search your ScreenPipe history for a specific conversation, the UI doesn't just show you the text—it uses the file path stored in the database to pull up that specific
.mp4
file and starts playing it at the exact second the keyword was spoken. Without these files, you get the transcript, but you lose the ability to actually listen to the context, tone, or nuance of the original conversation.
2. Re-processing and Model Upgrades
2. Re-processing and Model Upgrades
Local LLMs and transcription models are improving rapidly. Right now, your system might be using a quantized Whisper model to balance CPU load with accuracy. If you later decide to run a heavier, more accurate model—or if a radically better speaker diarization algorithm is released—having the raw
.mp4
files allows you to re-process historical audio. Without the raw input files, your data is permanently locked to the quality of the transcription model you were running on May 12th.
3. The Source of Truth for Hallucinations
3. The Source of Truth for Hallucinations
Speech-to-text engines, even great ones, occasionally hallucinate or misinterpret technical jargon, overlapping voices, or background noise. If a database query returns a completely nonsensical sentence, that
.mp4
file is your fallback source of truth to verify what was actually said.
How the Database Views Them
How the Database Views Them
If you were to open up your
db.sqlite
and query the tables (e.g.,
audio_transcriptions
), you would see that the database treats the
~/.screenpipe/data/
folder essentially as a blob storage backend. The tables contain columns acting as soft foreign keys pointing to filenames like
soundcore AeroClip (input)_2026-05-12_07-40-48.mp4
.
What happens if you delete them?
If you manually
rm
those files to free up space on your Mac's SSD, ScreenPipe won't crash. The SQLite database will still hold all your searchable text. However, any attempt to play back the audio for those older transcripts will silently fail or throw a "file not found" error in the background logs.
Managing the Storage Footprint
Managing the Storage Footprint
Because ScreenPipe records continuously, this folder will inevitably grow over time.
Built-in Garbage Collection:
ScreenPipe usually handles this automatically based on retention settings (e.g., deleting media older than 30 days or when the folder hits a specific GB limit).
Archiving:
If you prefer to keep a permanent, searchable "life log" without eating up your local SSD space, you don't necessarily have to let ScreenPipe delete them. You could script a simple cron job to regularly
older
files to your massive 4-drive RAID 5 array, replacing the local files with symlinks. This would keep the database references intact while offloading the heavy media storage to your NAS.
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You said yes I will do that. Is there a way to setup languages to transcription?
You said
yes I will do that. Is there a way to setup languages to transcription?
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Gemini said
Gemini said
That is a solid plan. Offloading those older media files to your 4-drive RAID 5 setup (or even the secondary SSD-only Beelink NAS if you end up building it) will keep your local SSD lean while keeping your database searchable.
As for setting up languages for transcription,
yes, you can configure it
, but it helps to understand how ScreenPipe handles language natively first.
How the Transcription Engine Handles Language
How the Transcription Engine Handles Language
By default, ScreenPipe uses a
multilingual Whisper model
and sets the language configuration to
Auto-Detect
.
When a new audio chunk comes in, the model listens to the first few seconds of audio, guesses the language, and transcribes the rest of that chunk using that assumption.
The Advantage:
If you are watching a tutorial in English, and then an hour later you are in a Zoom call speaking Bulgarian, ScreenPipe will automatically switch gears without you having to touch the settings.
The Drawback:
Auto-detect can sometimes guess wrong, especially if there is heavy background noise, if someone starts a sentence with a foreign loanword, or if you are rapidly code-switching between Slovak and English in the same conversation. When it guesses wrong, it might try to force Slovak words into English spelling, resulting in gibberish.
How to Force a Specific Language
How to Force a Specific Language
If you want to ensure maximum accuracy and you know you will primarily be recording in one language for a specific period, you can explicitly set the language. This also slightly speeds up the processing because the model skips the detection phase.
If you are using the Desktop App UI:
Open the ScreenPipe settings.
Navigate to the
Audio
or
AI/Transcription
section.
Look for the
Whisper Language
or
Transcription Language
dropdown.
Change it from "Auto" to your specific language (e.g., English, Bulgarian, or Slovak).
If you are running ScreenPipe via CLI/Config:
You can modify your underlying configuration (usually found in
~/.screenpipe/pipe.json
or by passing a flag when starting the daemon) to force a specific language code. You would use the standard ISO language codes:
(Slovak)
(Bulgarian)
(English)
If you find yourself frequently jumping between those three languages, your best bet is to leave it on Auto-Detect and perhaps run a slightly larger, more accurate Whisper model (like Whisper 'Small' or 'Base' instead of 'Tiny') if your hardware has the headroom for it.
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Screenpipe [archive.db · 763MB]
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Activity
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Audio
Work Report
Timetable
AI Summary
Date
12
/
05
/
2026
Calendar
AUDIO TRANSCRIPTIONS
09:28
MIC
That's it.
09:32
MIC
And now...
09:32
MIC
Thank you.
09:33
MIC
Beijing
09:33
MIC
causing concentreras.
09:35
MIC
you
09:40
MIC
I'm gonna use the handkerchief to make sure that the handkerchief is not too thick.
09:43
MIC
I'm not gonna say that. I'm gonna say that.
09:44
MIC
Thank you.
09:45
SYS
Let's hear. Do you want to run? Run.
09:46
SYS
I'm going to show you. I'm going to show you. I'm going to show you. I'm going to show you.
09:46
SYS
So, you know, you have a lot of support on this side, so you can do it. Okay. Remember, you have to support on the QI. You can support it. You have a lot of pressure. You have to support it. I'm done.
09:47
SYS
You asked... You ready? The record? Di plugins Double Colours? Yes, I want the formal title. It will be 8. I hope you can sign up for this FCO with less ACRAeren Production good-bye. Dear Tricks. Amen.
09:47
SYS
I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. I'm not sure if you can see it. We'll see you in the next one.
09:48
SYS
Good. That's not the end. Is it? I'm going to buy it. You can buy it for me. I'm going. Good. No one is going to buy it. I'll buy it. I'll buy it. Where is the test? all of it.
09:48
SYS
I mean, I don't know how to do it. I mean, I don't know how to do it. I mean, I don't know how to do it. Good. I don't know how to do it. I don't know how to do it. And then.
09:49
SYS
From 36, we've heard from you, from the left, from the right. They... They gave us the same thing. For the other one, for the other one, for the other one. Okay. That's how it looks like.
09:49
SYS
And I do this as a key rate, as you can see. Okay, thank you. And over here, in progress, Nikki. I will show you the first piece of file-shaving application for the case of Google.
09:50
SYS
I have to say that the circle of the people in the world is a single day, so I started to argue. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same. I have to say that I have to be the same.
09:50
SYS
That's what I'm talking about. That's what I'm talking about. I'm talking about the fact that I'm not a professional, but I'm not a professional. I'm talking about the fact that I'm not a professional, but I'm a professional. I'm talking about the fact that I'm a professional. That's what I'm talking about. I'm still there.
09:51
SYS
I mean, the KMOS is very difficult to work with the team. It's a 2-sub-tory deployment. The first step is to make the decision on the team....
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Screenpipe — Archive — Personal
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app.screenpipe.lakylak.xyz
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Screenpipe — Archive
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All docs Screenpipe — Archive
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SQLite Web: archive.db
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:...
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Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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click
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accessibility
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NULL
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
New Tab
New Tab
Screenpipe — Archive
Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664630175_m1.jpg...
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Screenpipe — Archive — Personal
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app.screenpipe.lakylak.xyz
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monitor_1
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Screenpipe — Archive
Close tab
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure...
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"}]...
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
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All docs · AFFiNE
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DXP4800PLUS-B5F8
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
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Google Account: Lukáš Koválik ([EMAIL])
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Gemini
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure...
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
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DXP4800PLUS-B5F8
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
New Tab
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Close Google Gemini (⌃X)
Open history (⇧⌘H)
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Google Account: Lukáš Koválik ([EMAIL])
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Gemini
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer...
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Google Account: Lukáš Koválik ([EMAIL])
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer...
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Screenpipe — Archive — Personal
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel....
|
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_selected":false}]...
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
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SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
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Copy prompt
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel....
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664632149_m2.jpg...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:31@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:31@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:32@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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rireroxjiminny* Application• iCloud Drive992 Svnc rireroxjiminny* Application• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €• Orange• Red• Yellow• Purple• All Tags.mistorybookmarksloolsWindowmelp0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Microphone(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mic(input)_2026-05-12_18-32-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/0 MacBook Pro Micronhoneinout 2026-05-12 18-26-56.m04@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4hel"suppont Dally• In zn 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in paop/backend-code - Vanta2. NVD - cve-2026-6722(JY-20773] User Pilot not receivir• JY-19957 1 Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypeerrorI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% L2Wed 13 May 12:30:32@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas KovalikAccianed20 hours agobv Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664633424_m1.jpg...
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zs SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)О 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS ‹ 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4 → NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4 NAS + 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityFilesLaterMoreJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev. Galya DimitrovaRo Steliyan Georgievo Petko Kashinski. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...l:: AppsJira CloudToastSupport Daily - in 2h 30 m100% <78•Wed 13 May12:30:33Describe what you are looking forNikolay Ivanov6 0MessagesAdd canvas@ Files+Lukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerMessage Nikolay Ivanov...
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SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zs SlackFileEditViewGoHistoryWindowHelpDOCKERDEV (-zsh)О 882rsync MacBook Pro Microphone(input)_2026-05-12_18-22-26.mp4→ NAS / 209Krsync MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-26.mp4→ NAS ‹ 212Krsync MacBook Pro Microphone (input)_2026-05-12_18-23-56.mp4→ NAS / 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-24-26.mp4 → NAS ‹ 200Krsync MacBookPro Microphone (input)_2026-05-12_18-24-56.mp4 → NAS ‹ 217Krsync MacBook Pro Microphone (input)_2026-05-12_18-25-56.mp4→ NAS ‹ 214Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4 → NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-26.mp4 → NAS + 216Krsync MacBook Pro Microphone (input)_2026-05-12_18-28-56.mp4→ NAS / 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-29-56.mp4→ NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-30-56.mp4 → NAS• 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-31-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-26.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-32-56.mp4 NAS + 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-33-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12__18-34-56.mp4→ NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-26.mp4 → NAS 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-35-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-26.mp4 → NAS ‹ 206Krsync MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp4 → NAS ‹ 205Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-26.mp4 NAS ‹ 201Krsync MacBook Pro Microphone (input)_2026-05-12_18-37-56.mp4→ NAS / 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-26.mp4 → NAS ‹ 199Krsync MacBook Pro Microphone (input)_2026-05-12_18-38-56.mp4 → NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-26.mp4→ NAS ‹ 200Krsync MacBook Pro Microphone (input)_2026-05-12_18-39-56.mp4 → NAS ‹ 195Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp4 → NAS ‹ 198Krsync MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4 → NAS + 202Krsync MacBook Pro Microphone (input)_2026-05-12_18-41-26.mp4 → NAS + 203Krsync MacBook Pro Microphone (input)_2026-05-12_18-42-26.mp4 → NAS ‹ 209Krsync MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4 NAS ‹ 207Krsync MacBook Pro Microphone (input)_2026-05-12_18-44-26.mp4 → NAS ‹ 210Krsync MacBook Pro Microphone (input)_2026-05-12_18-45-26.mp4 → NAS + 207Kaudio files total:1113 file(s), 145M[+08m26s] • Copying screenpipe logs for 2026-05-12rsync logs + NAS• 1 file(s), 304K2026-05-13 12:20:12][2026-05-13 12:20:12][2026-05-1312:20:12]Archive DB size:763MTotal time:8m26sSynccomplete for 2026-05-12[2026-05-13 12:20:12]lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny~/.screenpipe/scripts/lib $ UAPP (-zshHomeDMsActivityFilesLaterMoreJiminny ...cunoartylau# engineering# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of jimi...° Direct messages& Nikolay Ivanovdo James Graham. Stoyan Tanev. Galya DimitrovaRo Steliyan Georgievo Petko Kashinski. Aneliya Angelovaã. Stefka Stoyanova€. Vasil VasilevE. Lukas Kovalik y...l:: AppsJira CloudToastSupport Daily - in 2h 30 m100% <78•Wed 13 May12:30:33Describe what you are looking forNikolay Ivanov6 0MessagesAdd canvas@ Files+Lukas Kovalik 11.Today ~мен все ме праща наhttps://app.vanta.com/c/jiminny.com/employee/onboardingNikolay Ivanov 11:01 AMХм, Джейс дали не може да ти помогне?Lukas Kovalik 11:01 AMще питам James, предполагам че нямам правада мерсиNikolay Ivanov 11:01 AMмдаМОЛЯLukas Kovalik 12:13 PMНики сори, още един въпрос имамкогато ги правеше ти FE ли оправяима vulnerabilities no npmNikolay Ivanov 12:28 PMнетях ги оставямLukas Kovalik 12:29 PMаз погледнах твоя тикет и там друго нямашесамо FEкак стигна до WorkerMessage Nikolay Ivanov...
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iTerm2ShellEditViewSessionDOCKER$81T1DOCKER (-z do
iTerm2ShellEditViewSessionDOCKER$81T1DOCKER (-zsh)Last login:Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file iocker or its parentsPoetry could not find a pyproject.toml fileocker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyScriptsProfilesWindowHelpDEV (-zsh)O $2Support Daily - in 2h 30 mDOCKER (-zsh)APP (-zsh)*3-zshPROD (-zsh)Last login:Tue May 12 17:54:40 on consoledo*4in /Users/lukas or its parentsin /Users/lukas or its parents100% (C48• Wed 13 May 12:30:34screenpipe"T81О 85PRODPSPSPSPSPSDocker.app/Applications/Docker.appGoogle Docs.app282/Applications/Google Docs.appDocs.app283/Users/lukas/Applications/Chrome Apps.localized/Docs.appDesktop & Dock984System Settings → Desktop & DockVirtualInterfaceWithCall.php285~/jiminny/app/vendor/symfony/error-handler/Tests/Fixtures/VirtualInterfaceWithCall.phpweb.php286-/jiminny/app/routes/web.phpWorker.php$7-/jiminny/app/app/Queue/Worker/Worker.phpWebhookController.php488-/jiminny/app/app/Http/Controllers/Telephony/TextMessaging/WebhookController.phpNudgeExpirationWarningNotificationTest.php489~/jiminny/app/tests/Unit/Notifications/NudgeExpirationWarningNotificationTest.phpL6 FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001in /Users/lukas or its parentsin /Users/lukas or its parentsin /Users/lukas or its parentsin /Users/lukas or its parentsin /Users/lukas or its parentsn/Users/lukas or its parentsSTAGEPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parents<as@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ I|...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664638089_m1.jpg...
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Last login: Tue May 12 17:54:40 on console
Poetry Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
⌥1 DOCKER (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥2 PROD (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥3 EU (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥4 STAGE (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥5 QA (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥6 FE (-zsh)
Last login: Tue May 12 20:12:05 on ttys005
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥7 EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
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screenpipe"
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DOCKER (-zsh)...
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Last login: Tue May 12 17:54:40 on console
Poetry Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
Poetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $
Menu
⌥1 DOCKER (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥2 PROD (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥3 EU (-zsh)
Last login: Tue May 12 17:54:40 on console
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥4 STAGE (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥5 QA (-zsh)
Last login: Tue May 12 20:12:05 on ttys001
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥6 FE (-zsh)
Last login: Tue May 12 20:12:05 on ttys005
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
Poetry could not find a pyproject.toml file in /Users/lukas or its parents
lukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $
Menu
⌥7 EXT (-zsh)
DOCKER
Close Tab
DEV (-zsh)
Close Tab
APP (-zsh)
Close Tab
-zsh
Close Tab
screenpipe"
Close Tab
⌥⌘1
DOCKER (-zsh)...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664638840_m2.jpg...
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Firefox
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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monitor_2
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jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €€ Networ!• Orange• Red• Yellow• Greer• Purple• All Tags.data0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Micro(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mid(input)_2026-05-12_18-32-56.mр4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-29-56.mр401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/D MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4>0.support Dally - In 2h 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in pap/backend-code - Ve X2. NVD - cve-2026-6722(JY-20773] User Pilot not receivin• JY-19957 | Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypezrroгI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% S2wea 13 May 12-30•30@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas Kovalik8 Assigned20 hours agoby Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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568861862783739122
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NULL
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click
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ocr
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jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP jiminny• Recents• iCloud Drive992 Svnc toldel0 DXP4800PLUS-B5F €€ Networ!• Orange• Red• Yellow• Greer• Purple• All Tags.data0 MacBook Pro Microphone inout) 2026-05-13 06-20-25.mp4• System Audio (output)_2026-05-13_06-20-25.mp4MacBook Pro Microphone (input)_2026-05-13_06-19-55.mp4•system Audio (output 2026-05-13 06-19-55.mp4• MacBook Pro Microphone (input)_2026-05-13_06-19-25.mp4D System Audio (output)_2026-05-13_06-19-25.mp4• MacBook Pro Microphone (input) 2026-05-13_06-18-55.mp401 Svstem Audio loutout 2026-05-13 06-18-55.m04• MacBook Pro Microphone (input) 2026-05-13_06-18-25.mp4System Audio (output)_2026-05-13_06-18-25.mp4• MacBook Pro Microphone (input) 2026-05-13 _ 06-17-55.mp4@l Svctem Audio (outnut) 2026-05-12 06-17-55 mnЛ(input)_2026-05-13_06-17-25.mp4• System Audio (output) 2026-05-13 06-17-25.mp41 MacBook Pro Micronhone inout) 2026-05-13 06-16-53.mo4D System Audio (output)_2026-05-13_06-16-53.mр4dataMacBook Pro Microphone inout) 2026-05-12 18-45-26,m04• MacBook Pro Microphone (input) 2026-05-12 18-44-26.mp4D MacBook Pro Microphone (input)_2026-05-12_18-43-26.mp4• MacBook Pro Microphone (input) 2026-05-12 18-42-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-41-26.mn4• MacBook Pro Microphone (input)_2026-05-12_18-40-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-40-26.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-39-56 mo4• MacBook Pro Microphone (input) 2026-05-12 18-39-26.mp4e мacboоk Pro Microphone inout4020-05-1218-38-26.mp4• MacBook Pro Micronhone (innut) 2026-05-12 18-37-56.mn4• MacBook Pro Micro(input)_2026-05-12_18-37-26.mp4• MacBook Pro Microphone (input)_2026-05-12_18-36-56.mp401 MacBook Pro Microphone (inout) 2026-05-12 18-36-26 mo4MacBook Pro Microphone (input) 2026-05-12 18-35-56.mp401 MacBook Pro Microphone inout) 2026-05-12 18-34-56.mo4|@ MacRook Pro Micronhone (innut) 2026-05-12 18-22-56 mn4|• MacBook Pro Mid(input)_2026-05-12_18-32-56.mр4• MacBook Pro Microphone (input) 2026-05-12 18-32-26.mp401 MacBook Pro Micronhone (inout) 2026-05-12 18-31-56.mo4• MacBook Pro Microphone (input) 2026-05-12 18-30-56.mp4MacBook Pro Microphone (input)_2026-05-12_18-29-56.mр401 MacBook Pro Microphone (inout) 2026-05-12 18-28-56.mo4@l MacRook Dro Micronhone (innut) 2026-05-12 18-28-26 mn/D MacBook Pro Microphone (input)_2026-05-12_18-26-56.mp4@ MacBook Pro Microphone (input) 2026-05-12_18-26-26.mp4a1 MacBook Pro Micronhone (inout) 2026-05-12 18-25-56.mo4D MacBook Pro Microphone (input)_2026-05-12_18-24-56.mp4• MacBook Pro Microphone (input) 2026-05-12 18-24-26.mp401 MacBook Pro Microphone ((inout) 2026-05-12 18-23-56.mo4al MasPaal Dra Micranhana finnutl 2006 06. 12 10. 22, 26 mк/• MacBook Pro Microphone(input)_2026-05-12_18-22-56.mp4@ MacBook Pro Microphone (input) 2026-05-12 18-22-26.mp4a1 MacBook Pro Micronhone (innut) 2026-05-12 18-21-56.mn4@ MacBook Pro Microphone (input) 2026-05-12 18-21-26.mр4MacBook Pro Microphone (input) 2026-05-12 18-20-56.mp4• MacBook Pro Microphone (input)_2026-05-12_18-20-27.mp4>0.support Dally - In 2h 30m[JY-19967) Upgrade Python and li)Dependabot alerts • jiminny/proph4 [JY-19958] Upgrade BE libraries* Low vulnerabilities identified in pap/backend-code - Ve X2. NVD - cve-2026-6722(JY-20773] User Pilot not receivin• JY-19957 | Remove abanded svm) TypeError: League|Flysystem\F) New TabT (SRD-6848] Sidekick SMS issue -fJY-19957] Upgrade BE libraries() JY-19957 | Remove abanded symHigh vulnerabilities identified in pa12 Medium vulnerabilities identified il(* Low vulnerabilities identified in paExplore08nny.sentry.lo/ssuIssues / e APP-1DTFTypezrroгI League Flysystem Filesystem:hasD: Argument #1 (Slocation) must be of type string, null given, called in /home/jiminny/vendor/larave/framework/src/lluminate/Filesystem/FilesystemAdapter.php on line 218aoo/Joos/AutomatedReoorts/SendReoortJob.ono in Jiminny Joos AutomatedRenortsSendReoortJob:handleResolvedUnresolveproduction-eu, production9OD V• Filter events...Events1.3KUsersЛП.Tmmmmmm h.Fob 28 10:00 PMIIMar 31 9:00 PMruntimemechanismView all tags100% php 8.3.30dovx genencEvents v in this issueView More Events© Copy asID: 2dc71891a day ago | JSONJump to: HignlightsStack Tracephp php 8.3.30Linux 6.1.164-196.303.amzn2023.aarch64₴ 884981 # production~ HighlightshondlodLevelerrorTrace: Trace ID0316e00033с74084а0827048-7610674v Stack Trace Display© Copy as vTeasue ERysysten Fi1esystem: has(): Argunent #1 (Slocation) must be of type string, null given, called in /home/ siminny/vendor/ 1arave1/Franework /9rc/71lumänate/F3 lesysten/F11esystenAdapter, phe on 1ine 218mechanismgeneri.handled truecodeCrashedin non-aoo:/vendor/leaaue/fivsvstem/src/Filesvstem.oho:46inLeague.Flvsvstem.Fillesvstem.hagShow 1 more frameapp/Jobs/AutomatedReports/SendReportJob.ohp:80in JiminnyJobs_AutomatedReports SendReportJob:handle•• InAppvSs3Path= SautomatedRenortsService->aetMediaPath(Sreport):/Verify the file exists in S3if (1 Storage::disk('client-data-cloud')->exists($s3Path)) <Slogger->error self::LOG PREFIXI• Report file not found in S3'. ["s3Path' => Ss3Path.automatedRenortsSerOhiert liminnvlSorvicoclKiocklAutomatedPenortclAntomatedPenortcSorvicovice100% S2wea 13 May 12-30•30@ Ask Seer &.Events (totalUsers (90d)2.4KPriority ailvAssignee LK Lukas KovalikLast seen a day agoin release 884781First seen 8 months agov Seer Autofix €Meet Seer, your Al assistantDebug faster with Sentry's agent,Seer. Seer connects to vour reoos.scans your issues, hiahliahts quickfixes, and proposes solutions. You caneven integrate with your favoriteadent to imolement chandes in code.[ Try out Seer now• Issue TrackingGitHuhS Jiralv ActivitvResolved3 hours aadbv Lukas Kovalik8 Assigned20 hours agoby Lukas Kovalik to themselves.> Marked as Ongoingautomatically by Sentryo months agoView 5 morePeonleLKИP participatinaGD IAMP +4 viewedSimilar IssuesMeraed IssuesView...
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2026-05-13T09:30:38.842651+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778664638842_m1.jpg...
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Firefox
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jiminny/app/backend-code - Vanta — Work
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1
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app.vanta.com/c/jiminny.com/vulnerabilities/findin app.vanta.com/c/jiminny.com/vulnerabilities/findings-by-asset/672dbbd0b16e6beaba3ddc4f...
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monitor_1
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iTerm2ShelllEditViewSessionScriptsProfilesWindowHe iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpDOCKER081DEV (-zsh)О 882DOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)APP (-zsh)>0.la6l§ Support Daily • in 2h 30 m*3-zshPROD (-zsh)Last login: Tue May 12 17:54:40 on console84100% (C48•Wed 13 May12:30:38T81screenpipe"О 85Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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iTerm2ShelllEditViewSessionScriptsProfilesWindowHe iTerm2ShelllEditViewSessionScriptsProfilesWindowHelpDOCKER081DEV (-zsh)О 882DOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)APP (-zsh)>0.la6l§ Support Daily • in 2h 30 m*3-zshPROD (-zsh)Last login: Tue May 12 17:54:40 on console84100% (C48•Wed 13 May12:30:38T81screenpipe"О 85Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKER081DEV (-zsh)О 882X MDOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)|APP (-zsh)0§ Support Daily • in 2h 30 mA100% <78• Wed 13 May12:30:40-zsh84screenpipe"PROD (-zsh)Last login:Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4 STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001181О ₴5PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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iTerm2ShellEditViewSessionScriptsProfilesWindowHel iTerm2ShellEditViewSessionScriptsProfilesWindowHelp• •DOCKER081DEV (-zsh)О 882X MDOCKER (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentsPoetry could not find a pyproject.toml file in /Users/lukas/jiminny/infrastructure/dev/docker or its parentslukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~/jiminny/infrastructure/dev/docker (develop) $DOCKER (-zsh)|APP (-zsh)0§ Support Daily • in 2h 30 mA100% <78• Wed 13 May12:30:40-zsh84screenpipe"PROD (-zsh)Last login:Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ IX T3 EU (-zsh)Last login: Tue May 12 17:54:40on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.tomlfile in /Users/lukas or its parentsukas-Kovaliks-MacBook-Pro-Jiminny ~ $ [|T4 STAGE (-zsh)Last login: Tue May 12 17:54:40 on consolePoetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentslukas@Lukas-Kovaliks-MacBook-Pro-JiminnyX 15 QA (-zsh)Last login: Tue May 12 20:12:05 on ttys001Poetry could not find a pyproject.toml file in /Users/lukas or its parentsPoetry could not find a pyproject.toml file in /Users/lukas or its parentsukaset6FE (-zsh)Last login: Tue May 12 20:12:05 on ttys001181О ₴5PRODSTAGEPoetry could not find a pyproject.toml file in /Users/lukas or its parentsFRONTENDPoetry could notfind a pyproject.toml file in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ lX 27 EXT (-zsh)Poetry could not find a pyproject.toml file in /Users/lukas or its parentsEXTENSIONPoetrycould not find a pyproject.tomlfile in /Users/lukas or its parentsLukas@Lukas-Kovaliks-MacBook-Pro-Jiminny ~ $ l...
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