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SCREENPIPE
AI-powered screen and audio memory that remembers everything you do locally
MIT
ABOUT
AI agents lack context about what you have actually done, seen, or said during your workday — they operate in a vacuum without access to your real workflow. Screenpipe solves this by continuously recording screen content and audio locally, extracting text, transcripts, and visual context into a searchable database that AI agents can query. Everything runs on-device with no cloud upload, giving agents awareness of your actual work activities while preserving privacy. The platform exposes this memory through APIs and MCP servers so agents can retrieve relevant past context, find information you saw days ago, and automate workflows based on your actual usage patterns.
INTEGRATION GUIDE
1. Recover information you saw on screen days or weeks ago by searching natural language queries against your screen history
2. Give coding agents access to your terminal output, error messages, and code changes they would not otherwise see
3. Automate repetitive workflows by having agents detect patterns in your computer usage and suggest optimizations
4. Build personal AI assistants that know what you are working on, which documents you have open, and what you discussed in meetings
5. Create meeting summaries and action items automatically by processing audio and on-screen content from video calls
TAGS
screen-recordingmemorylocal-aiprivacyproductivitymcpagentsspeech-to-textcomputer-useautomation