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 kunickiaj · Agent Tool · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codemem safe to install? View the security audit →
codemem Persistent memory for OpenCode and Claude Code. codemem captures what you work on across sessions, retrieves relevant context using hybrid search, and injects relevant context automatically in OpenCode. Local-first — everything lives in SQLite on your machine Hybrid retrieval — FTS5 BM25 lexical search + sqlite-vec semantic search, merged and re-ranked Automatic injection — the OpenCode plugin injects context into every prompt, no manual steps Claude Code plugin support — install from the codemem marketplace source Built-in viewer — browse memories, sessions, and observer output in a local web UI Peer-to-peer sync — replicate memories across machines without a central service Quick start Prerequisites: Node.js 24+ and npm (or pnpm) OpenCode Install the OpenCode plugin and MCP config: text npx -y cod
| Stars | 71 |
| Forks | 13 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.9462503977284/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-22 |
| Created | 2026-01-13 |
| Platforms | claude-code, node |
| Est. Tokens | ~18k |
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codemem is A lightweight persistent-memory companion for OpenCode & Claude. It is categorized as a Agent Tool with 71 GitHub stars.
codemem is primarily written in TypeScript. It covers topics such as ai, ai-agents, ai-memory.
You can find installation instructions and usage details in the codemem GitHub repository at github.com/kunickiaj/codemem. The project has 71 stars and 13 forks, indicating an active community.
codemem is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codemem on Agent Skills Hub include Grov, claude-emporium, claude-code-supervisor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: