agentmemory — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

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 rohitg00 · Codex Skill · ★ 29.1k

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

🔒 Is agentmemory safe to install? View the security audit →

About agentmemory

Your coding agent remembers everything. No more re-explaining. Persistent memory for Claude Code, Cursor, Gemini CLI, OpenCode, and any MCP client. <img src="assets/tags/stat-tok

agentmemoryagentsaiclaudeclaudecodecodexcopilotcursorgenaiharness

Quick Facts

Stars29,109
Forks2,543
LanguageTypeScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score61.9281153109792/100
Open Issues598
Last Updated2026-10-03
Created2026-02-25
Platformsclaude-code, codex, node
Est. Tokens~22k

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Frequently Asked Questions

What is agentmemory?

agentmemory is #1 Persistent memory for AI coding agents based on real-world benchmarks. It is categorized as a Codex Skill with 29.1k GitHub stars.

What programming language is agentmemory written in?

agentmemory is primarily written in TypeScript. It covers topics such as agentmemory, agents, ai.

How do I install or use agentmemory?

You can find installation instructions and usage details in the agentmemory GitHub repository at github.com/rohitg00/agentmemory. The project has 29.1k stars and 2543 forks, indicating an active community.

What license does agentmemory use?

agentmemory 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 agentmemory?

The top alternatives to agentmemory on Agent Skills Hub include obsidian-skills, MemOS, git-mcp. 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 Codex Skill tools