personal-model — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by Intuition-Lab · MCP Server · ★ 1.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is personal-model safe to install? View the security audit →

About personal-model

Persome: Build your Personal Model The open-source Personal Model that makes every AI yours. Persome learns how you actually think and work from focused activity captured on your Mac after you grant macOS permission—then gives Codex, Claude Code, and other trusted MCP-compatible clients evidence-linked context to continue your work and make grounded decisions. Runs locally on your Mac. Private by default. Yours to inspect, correct, export, and delete. Try the synthetic demo · Install with your data · Connect an MCP client · Star Persome on GitHub ![Illustration of a mature

agent-memorylocal-firstmacosmcppersonal-aipersonal-modelprivacypython

Quick Facts

Stars1,331
Forks97
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score67.0809328423002/100
Open Issues12
Last Updated2026-08-14
Created2026-07-10
Platformsmcp, python
Est. Tokens~16k

Compatible Skills

These tools work well together with personal-model for enhanced workflows:

  • openclaw-config — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

personal-model alternative? Top 6 similar tools

Looking for a personal-model alternative? If you're comparing personal-model with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • CoWork-OS by CoWork-OS · ⭐ 457

    Local-first personal agentic OS and everything app for coding, knowledge work, web design, automations, and ar

  • Kiln by Kiln-AI · ⭐ 5.1k

    Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation,

  • basic-memory by basicmachines-co · ⭐ 4.0k

    AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: htt

  • memorix by AVIDS2 · ⭐ 791

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

  • vestige by samvallad33 · ⭐ 628

    Cognitive Deterministic Memory Security OS for Agentic AI. Deterministic root-cause retrieval that reaches bac

  • roam-code by Cranot · ⭐ 518

    Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman

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Frequently Asked Questions

What is personal-model?

personal-model is Build your HUMAN.md.. It is categorized as a MCP Server with 1.3k GitHub stars.

What programming language is personal-model written in?

personal-model is primarily written in Python. It covers topics such as agent-memory, local-first, macos.

How do I install or use personal-model?

You can find installation instructions and usage details in the personal-model GitHub repository at github.com/Intuition-Lab/personal-model. The project has 1.3k stars and 97 forks, indicating an active community.

What license does personal-model use?

personal-model is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to personal-model?

The top alternatives to personal-model on Agent Skills Hub include CoWork-OS, Kiln, basic-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools