pmb: Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP

by oleksiijko · MCP Server · ★ 281

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

How to install pmb

pip install pmb-ai
git clone https://github.com/oleksiijko/pmb.git && cd pmb

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsai-memorybm25claude-codecodexcursorknowledge-graphlancedbllmlocal-first

Quick Facts

Stars281
Forks26
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score71/100
Open Issues4
Last Updated2026-09-23
Created2026-05-25
Platformsclaude-code, codex, mcp, python
Est. Tokens~18k

About pmb

PMB Local-first memory for your AI coding agent. One file on your disk. Twenty-nine MCP tools. No cloud. Install · Demo · How it works · FAQ PMB gives Claude Code, Cursor, Codex and the other MCP-aware agents a real memory. Decisions you made last week. Lessons you taught them. Personal facts about you. Project structure. PDFs.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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