Продуктивность
obsidian-mind
A self-organizing Obsidian vault that gives AI coding agents persistent memory across sessions.
★ 5,0 тыс. звёздMIT
Смотреть руководство →screenpipe — проект с открытым исходным кодом из категории «Продуктивность» от screenpipe (screenpipe/screenpipe на GitHub). У него 21 873 звезды на GitHub и 2 237 форков, он распространяется по лицензии NOASSERTION и последний раз обновлялся на GitHub 8 октября 2026.
Record everything you do on your computer - searchable, private, and ready for agents
Choose which apps and audio sources to capture, and what to exclude for privacy.
Install via npx, download the desktop app, or clone the repo to build from source.
Run the setup command, grant screen/audio permissions, and start recording.
Ask a natural-language question about your work and jump to the moment in the timeline.
Captures screen content efficiently as events happen, with accessibility-first text and OCR fallback.
Records and transcribes audio so meetings and calls become searchable too.
Search screen text, OCR text and transcripts in natural language, filtered by app, window, URL or date.
Scrub through a visual timeline of your day to find and replay moments.
Extend screenpipe with pipes that act on your captured history, with per-pipe data permissions.
Expose your history to agents through the built-in MCP server (screenpipe-mcp) and a developer API.
Get the source code from GitHub and enter the project directory.
git clone https://github.com/screenpipe/screenpipe.git
cd screenpipeThe README's fastest path uses npx to set up and start recording.
npx screenpipe setup
npx screenpipe recordRegister the MCP server with Claude so your agent can search your history.
claude mcp add screenpipe -- npx -y screenpipe-mcp@latestIt is maintained by the screenpipe team and open-source contributors on GitHub.
The source is available to inspect and use for personal, non-commercial purposes under the license in the repo; commercial use requires a commercial license, and the desktop app has Free, Basic and Business plans per the README.
No API key is needed for recording and search on your machine; some AI features or agent integrations you connect may use your own model keys.
Compared with Rewind-style tools, screenpipe is source-available with a local-first design, an MCP server and a plugin system, so agents and developers can build on your history rather than only viewing it.
Run npx screenpipe setup, grant the OS permissions it requests, start recording, and try a natural-language search over your day.
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Другие проекты из категории «Продуктивность» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если screenpipe вам не подходит.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.