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.
MCPpedia last refreshed this data
LLM Wiki Memory is an MCP server that 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. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 42/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"llm-wiki-memory": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
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 versioned in git, searched with local embeddings, and consolidated offline while you sleep.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in education / developer-tools
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
MCP server for using the GitLab API
Manage Supabase projects — databases, auth, storage, and edge functions
Chrome DevTools for coding agents
MCP Security Weekly
Get CVE alerts and security updates for Llm Wiki Memory and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.