mnemory MCP Server
fpytloun/mnemory
[](https://agentrank-ai.com/tool/fpytloun--mnemory/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A self-hosted, secure, feature-rich memory system for AI agents and assistants. Provides intelligent fact extraction and deduplication, with an artifact store for detailed content.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
fpytloun/mnemory is a Python tool. A self-hosted, secure, feature-rich memory system for AI agents and assistants. Provides intelligent fact extraction and deduplication, with an artifact store for detailed content. Topics: agents-memory, ai, ai-agents, agent-memory, llm, mcp, memory, personalization, semantic-memory, vector-search.
Ranked #2292 out of 24846 indexed tools.
In the top 10% of all indexed tools.
Ecosystem
Score Breakdown
279 stars → growing community
Last commit 1mo ago → moderate activity
6/6 issues closed → responsive maintainer
3 contributors → small team
No dependents → no downstream usage
41 weekly installs → early adoption
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
<p align="center"> </p> # mnemory Give your AI agents persistent memory. mnemory is a self-hosted [MCP](https://modelcontextprotocol.io/) server that adds personalization and long-term memory to any AI assistant — Claude Code, ChatGPT, Open WebUI, Cursor, or any MCP-compatible client. **Plug and play.** Connect mnemory and your agent immediately starts remembering user preferences, facts, decisions, and context across conversations. No system prompt changes needed. **Self-hosted and secure.** Your data stays on your infrastructure. No cloud dependencies, no third-party access to your memories. **Intelligent.** Uses a unified LLM pipeline for fact extraction, deduplication, and contradiction resolution in a single call. Memories are semantically searchable, automatically categorized, and expire naturally when no longer relevant. ## Features - **Zero config** — `uvx mnemory`, connect your MCP client, done. Works out of the box with any OpenAI-compatible API. - **Intelligent extRead full README on GitHub →
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