ClawMem MCP Server
yoloshii/ClawMem
[](https://agentrank-ai.com/tool/yoloshii--ClawMem/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
yoloshii/ClawMem is a TypeScript MCP server licensed under MIT. On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search. Topics: ai-agent-memory, ai-agents, bun, claude-code, embeddings, hybrid-search, llama-cpp, local-first, mcp-server, mcp-tools, model-context-protocol, rag, retrieval-augmented-generation, sqlite, typescript, vector-search, memory, plugin, hermes, openclaw.
Ranked #3879 out of 24846 indexed tools.
Ecosystem
Score Breakdown
210 stars → growing community
Last commit 1mo ago → moderate activity
7/19 issues closed → many open issues
6 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# ClawMem — On-device memory layer for Claude Code, OpenClaw, and Hermes agents <p align="center"> </p> **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](https://github.com/tobi/qmd)-derived multi-signal retrieval (BM25 + vector search + reciprocal rank fusion + query expansion + cross-encoder reranking), [SAME](https://github.com/sgx-labs/statelessagent)-inspired composite scoring (recency decay, confidence, content-type half-lives, co-activation reinforcement), [MAGMA](https://arxiv.org/abs/2501.13956)-style intent classification with multi-graph traversal (semantic, temporal, and causal beam search), and [A-MEM](https://arxiv.org/abs/2510.02178) self-evolving memory notes that enrich documents with keywords, taRead full README on GitHub →
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