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screenpipe
Local-first workflow memory for AI agents
screenpipe captures selected screen, audio, app, and meeting context locally so Claude, Codex, Cursor, and local AI workflows can search real work history through MCP/API. It helps teams turn daily work into cited notes, SOPs, workflow reports, and automation candidates while keeping sensitive context under user control.
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What does screenpipe help with?
Use screenpipe when an AI agent needs context from real work, not just the current chat. It provides local workflow memory through MCP/API for searching past work, reconstructing decisions, and turning repeated workflows into automation candidates.
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