What is the personal-model MCP server?

Intuition-Lab/personal-model — Build your HUMAN.md. AgentRank score: 62.7/100.

Is the personal-model MCP server actively maintained?

The personal-model MCP server was last committed 1mo ago and has 9 contributors. Issue health: 35% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

personal-model MCP Server

Name: Intuition-Lab/personal-model
Rating: 3.5 (1 reviews)
Author: Intuition-Lab

Intuition-Lab/personal-model

Score: 62.7 Rank #5593 MCP Server

[![AgentRank](https://agentrank-ai.com/api/v1/badge/Intuition-Lab--personal-model)](https://agentrank-ai.com/tool/Intuition-Lab--personal-model/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of Intuition-Lab/personal-model? Claim this listing →

Build your HUMAN.md.

Add AgentRank to Claude Code Discover and compare tools like Intuition-Lab/personal-model — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

Intuition-Lab/personal-model is a Python tool licensed under Apache-2.0. Build your HUMAN.md. Topics: agent-memory, local-first, macos, mcp, personal-ai, personal-model, privacy, python.

Ranked #5593 out of 24846 indexed tools.

Has 1,336 GitHub stars.

Ecosystem

Python Apache-2.0 18 pypi/wk

agent-memorylocal-firstmacosmcppersonal-aipersonal-modelprivacypython

Score Breakdown

Stars 15% 1,336

1,336 stars → well-known project

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 35%

7/20 issues closed → many open issues

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads 13% 18/wk

18 weekly installs → early adoption

Forks 91

Description Brief

License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 46 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 13 open vs 7 closed issues — triaging stale issues improves health

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/Intuition-Lab--personal-model)](https://agentrank-ai.com/tool/Intuition-Lab--personal-model/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/Intuition-Lab--personal-model/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/Intuition-Lab--personal-model" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="Intuition-Lab/personal-model"></script>

Details

Stars: 1,336
Forks: 91
Open Issues: 13
Closed Issues: 7
Contributors: 9
Dependents: —
Language: Python
License: Apache-2.0
Last Commit: 1mo ago

Matched Queries

topic:mcp

From the README

# Personal Model: local-first AI memory for coding agents

<p align="center">
  <a href="https://github.com/Intuition-Lab/personal-model/releases/tag/v0.3.2">
    
  </a>
</p>
<p align="center">
  <sub>Auto-playing preview · <a href="https://github.com/Intuition-Lab/personal-model/releases/tag/v0.3.2">Full-quality demo and v0.3.2 release notes</a></sub>
</p>

Build your `HUMAN.md` — one evidence-linked Personal Model for Claude Code, Codex, Cursor Agent, and other trusted MCP clients.

Personal Model is an open-source, local-first long-term memory Runtime. It learns how you think and work from focused activity captured on your Mac after you grant macOS permission, then gives your AI tools inspectable context to continue work and make grounded decisions.

**Runs locally on your Mac. Private by default. Yours to inspect, correct, export, and delete.**

      

[Install Personal Model](#1-install-with-your-data) · [Connect your AI tool](#works-with-claude-code-codex-cursor-agent-and-mcp-c

Read full README on GitHub →