Screenpipe Records Your Screen Locally to Give AI Agents Persistent Memory

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Screenpipe, a YC S26-backed app built by developer Louis, continuously records a user's screen and audio locally and indexes the data into a searchable SQLite database to give AI agents ongoing context about computer activity. The app uses event-driven capture — triggered by app switches, clicks, and typing pauses — rather than continuous video recording, pairing screenshots with the OS accessibility tree to reduce resource usage. Audio is transcribed locally via Parakeet or Whisper, and all data remains on-device, addressing privacy concerns raised in earlier community feedback. The tool is designed to help users automate repetitive tasks, build standard operating procedures, and enable AI agents to act on real-world workflows without manual context-switching. Screenpipe exposes the indexed data through a local API on port 3030, making it accessible to AI agents and automation pipelines.

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