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Persome

Local-first MCP memory for macOS that gives trusted AI clients evidence-linked personal context.

Install Persome

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Open setup steps on GitHub

Overview

The Persome MCP server provides local, evidence-linked personal context to trusted MCP clients on macOS. It learns from focused activity after the user grants macOS permissions, then exposes that context through MCP for agents such as Claude Code, Codex, Cursor Agent, and Claude Desktop. Reach for it when coding agents need continuity across tasks, awareness of priorities, or access to a user-owned model without relying on a hosted memory service.

Use cases

  • Restore unfinished coding work across agent sessions
  • Search personal context before choosing a next step
  • Share priorities and working patterns across MCP clients
  • Review evidence behind an agent's personal-context assumptions

Key features

  • Local-first memory runtime for macOS
  • Evidence-linked Personal Model
  • MCP access for trusted clients
  • Cross-agent context sharing
  • Inspectable, correctable, exportable, and deletable data

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

38/40 checks healthy over the last 91d

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars1.3kStargazers on the source repository.
Last commit23d agoMost recent push to the default branch.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How Persome works

What Persome MCP server does

The Persome MCP server creates a local memory layer for AI agents running on a Mac. It builds an evolving Personal Model from focused activity captured after the user grants the required macOS permissions. The resulting context is intended to help trusted agents understand current goals, priorities, working patterns, decision preferences, and unfinished work.

The model is organized into progressively broader structures: Points represent sourced observations or events; Lines connect relationships or changes over time; Faces describe patterns supported by related evidence; Volumes group higher-order structures; and the Root represents the current integrated model. Claims retain source receipts so they can be inspected, corrected, revised, exported, or deleted.

This places Persome in the 🧠 Knowledge & Memory category. It is designed for developers who want the same personal context available across multiple MCP-compatible coding agents rather than maintaining separate agent histories.

How it works

The runtime operates locally on macOS and is private by default. During onboarding, it explains permission requests before they appear. Accessibility is granted to the versioned mac-ax-helper and, when event-driven capture is enabled, mac-ax-watcher. Screen Recording is requested only when the effective screenshot or local-OCR policy requires pixel access.

After capture and processing, connected agents can query the model through MCP. Agents select and execute tasks; the runtime supplies evidence-linked context rather than acting as an autonomous task executor.

Setup and configuration

Persome requires macOS 13 or newer and the Xcode Command Line Tools. The package-managed installation uses the personal-model distribution and installs the persome command:

text
uv tool install personal-model
persome onboard
persome model open --after 30

A source-based alternative is to clone the repository and run bash install.sh. Successful interactive onboarding opens the unified local setup experience. The persome onboard step is also where the permission boundary is explained and established.

Connection commands are available for supported clients. Examples include persome install claude-code, persome install codex, persome install cursor-agent, and persome install claude-desktop. For other compatible clients, the installer can generate an MCP JSON file with persome install mcp-json --filename persome-mcp.json.

Tools and capabilities

The Persome MCP server supports these documented capabilities:

  • Provide evidence-linked local context through MCP.
  • Let agents search the Personal Model for unfinished work and relevant context.
  • Help agents compare proposed next steps with recorded priorities.
  • Preserve one model for Claude Code, Codex, Cursor Agent, Claude Desktop, and other compatible clients.
  • Let the owner inspect, correct, export, or delete the model and its data.

The project describes other MCP servers, including Filesystem, GitHub, Slack, and Google Drive, as separate tools rather than built-in Persome integrations.

Limitations and notes

The Persome MCP server is intended for macOS and requires macOS 13 or newer. It depends on explicit operating-system permissions, and some capture features require Accessibility, Screen Recording, or both according to the selected policy.

It is a server for trusted MCP clients, not a replacement for those clients' task execution. External actions remain subject to the user's authority. The project is licensed under Apache-2.0.

Reviews

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Frequently Asked Questions about Persome

Persome is an MCP server that connects trusted AI clients to a local Personal Model on macOS. Its main capabilities include providing evidence-linked context, searching for unfinished work, and comparing proposed next steps with recorded priorities. It supports clients such as Claude Code, Codex, Cursor Agent, and Claude Desktop.

Install it with `uv tool install personal-model`, then run `persome onboard` and `persome model open --after 30`. The package is named `personal-model`, while the installed command is `persome`. macOS 13 or newer and Xcode Command Line Tools are required.

Yes, Persome supports Cursor Agent through the native installer command `persome install cursor-agent`.

Yes, Persome runs locally on your Mac and is private by default. Its model and data can be inspected, corrected, exported, or deleted by the owner. Activity capture begins only after the relevant macOS permissions are granted.

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