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 yoloshii · MCP Server · ★ 200
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ClawMem safe to install? View the security audit →
ClawMem — On-device memory layer for Claude Code, OpenClaw, and Hermes agents On-device memory for Claude Code, OpenClaw, Hermes, and AI agents. Retrieval-augmented search, hooks, and an MCP server in a single local system. No API keys, no cloud dependencies. ClawMem fuses recent research into a retrieval-augmented memory layer that agents actually use. The hybrid architecture combines QMD-derived multi-signal retrieval (BM25 + vector search + reciprocal rank fusion + query expansion + cross-encoder reranking), SAME-inspired composite scoring (recency decay, confidence, content-type half-lives, co-activation reinforcement), MAGMA-style intent classification with multi-graph traversal (semantic, temporal, and causal beam search), and A-MEM self-evolving memory notes that enrich documents with keywords, tags, and causal links between entries. Pattern extraction from Engram adds deduplication windows, frequency-based durability scoring, and temporal navigation. Integrates via Claude Code hooks, an MCP server (works with any MCP-compatible client), a native OpenClaw plugin, or a Hermes Agent plugin. All paths write to the same local SQLite vault. A decision captured durin
| Stars | 200 |
| Forks | 33 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.4499177492185/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-18 |
| Created | 2026-02-06 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~26k |
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ClawMem is On-device memory layer for AI agents. Claude Code, Hermes and OpenClaw. Hooks + MCP server + hybrid RAG search.. It is categorized as a MCP Server with 200 GitHub stars.
ClawMem is primarily written in TypeScript. It covers topics such as ai-agent-memory, ai-agents, bun.
You can find installation instructions and usage details in the ClawMem GitHub repository at github.com/yoloshii/ClawMem. The project has 200 stars and 33 forks, indicating an active community.
ClawMem is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ClawMem on Agent Skills Hub include Zikkaron, claude-mem-lite, Wax. 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: