memmy-agent: A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory

by MemTensor · MCP Server · ★ 2.2k

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

How to install memmy-agent

git clone https://github.com/MemTensor/memmy-agent.git && cd memmy-agent

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

Security audit verdict: SAFE · quality 65/100

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.

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Quick Facts

Stars2,196
Forks216
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score65/100
Open Issues47
Last Updated2026-11-04
Created2026-07-16
Platformsclaude-code, cli, codex, mcp, node
Est. Tokens~17k

About memmy-agent

<img src="https://img.shields.io/badge/Follow-Memmy-000000?labelColor=gray&style=for-the-badge&logo=x&logoColor=white

Compatible Skills

These tools work well together with memmy-agent for enhanced workflows:

  • godmode — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • MineEcho — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)

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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:

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