AI product Open source

Personal Model

Personal Model is an open-source, local-first AI memory runtime from Intuition Lab for giving coding agents evidence-linked context about a user. After macOS permissions are granted, it captures focused activity from applications on the user's Mac and builds a portable HUMAN.md-style personal context model, storing the data locally and allowing it to be inspected, corrected, exported, or deleted.

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Overview

The runtime progressively organizes sourced observations and events into relationships and changes, supported patterns, higher-order structures, and an integrated current model. It retains source receipts for important claims so later evidence can strengthen, revise, or overturn inferences, then exposes this context through MCP to trusted clients including Claude Code, Codex, Cursor Agent, Claude Desktop, and other compatible tools.

What Personal Model is used for

2 uses taken from transcripts — each links to the moment in the video.

  • An open-source local personal model that gives AI agents grounded context about a user. It learns from permitted macOS activity, maintains evidence-backed observations and patterns, exposes the model through MCP, and keeps data in a local folder without cloud sync.

  • Builds a local personal model from the applications a user operates, giving agents work context beyond their chat window. It uses macOS accessibility data, provides receipts-backed memory over MCP, and allows the model to be inspected, corrected, or deleted.

Videos mentioning Personal Model

2 in the library.