llm-wiki-memory MCP Server
ctxr-dev/llm-wiki-memory
[](https://agentrank-ai.com/tool/ctxr-dev--llm-wiki-memory/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
ctxr-dev/llm-wiki-memory is a JavaScript MCP server licensed under MIT. Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server. Topics: agent-memory, andrej-karpathy, andrej-karpathy-llm-wiki, andrej-karpathy-skills, claude-code, embeddings, llm-wiki, memory, rag, semantic-search.
Ranked #2094 out of 24842 indexed tools.
In the top 9% of all indexed tools.
Ecosystem
Score Breakdown
129 stars → growing community
Last commit 1mo ago → moderate activity
3/3 issues closed → responsive maintainer
3 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
<div align="center"> ### Persistent local memory for AI coding agents. Your agent remembers every session, learns from its mistakes, and gets smarter the longer you work with it. Claude Code, Cursor, Codex, and every other MCP client forget everything when a session ends. LLM Wiki Memory fixes that: it captures your conversations, compiles them into durable project knowledge and lessons your agent applies next time, and recalls the right context through a local MCP server. Memory lives on your machine as plain Markdown in an [LLM wiki](https://github.com/ctxr-dev/skill-llm-wiki) versioned in git, searched with local embeddings, and consolidated offline while you sleep. <samp><b>No RAG stack. No vector database. No Docker. No cloud. Install with one prompt and your agent never starts from zero again.</b></samp> <br/> <br/> </div> ## Install Paste this one-liner into your AI coding agent — it covers both a **fresh install** and an **update**: ```text Set up llm-wiki-memory in thiRead full README on GitHub →
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