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Screenpipe

Open-source pickProductivity & Knowledge Work

Local-first screen and audio memory for AI agents, with searchable desktop history and MCP access.

By screenpipe / RAPR AIv1.0.0Package license: MITFree & Open Source

Screenpipe package details

memorydesktopmcpscreen-recordingautomation

Open-source curation scope

This listing is a convenience wrapper for discovery, attribution, setup links, install commands, and agent guidance. This package curates public setup links, install commands, and agent instructions. It does not bundle or relicense the upstream project unless explicitly stated. Users can also go directly to the public upstream source linked on this page.

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Screenpipe

Local-first desktop memory for AI agents. Screenpipe records screen, audio, app switches, OCR, accessibility tree data, and transcriptions locally so agents can search what happened on the workstation and trigger automations from real activity.

What you can do

  • Remember desktop activity: Capture what the user saw, heard, typed, and switched between.
  • Search with AI: Ask natural-language questions over recent or historical activity.
  • Power agents with context: Expose the local activity stream through MCP.
  • Build pipes: Run automations triggered by work activity.
  • Keep data local: Use local storage, offline support, filters, and optional encryption.

Windows Setup

The RAPR skill installs immediately. Screenpipe recording is manual because it is a long-running local service.

npx -y screenpipe@latest record
claude mcp add screenpipe -- npx -y screenpipe-mcp

Example Requests

  • "Summarize what I worked on in the last hour."
  • "Find the meeting where the pricing decision was discussed."
  • "Create an automation that updates my task tracker when I work on a specific project."

Ask users to configure recording scope, filters, retention, encryption, and consent before capturing sensitive activity. Do not enable always-on recording silently.

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