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mnemory MCP Server

fpytloun/mnemory

Score: 78.6 Rank #2292 Search & RAG
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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.

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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

Python NOASSERTION 41 pypi/wk
agents-memoryaiai-agentsagent-memoryllmmcpmemorypersonalizationsemantic-memoryvector-search

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 279

279 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 100%

6/6 issues closed → responsive maintainer

Contributors 10% 3

3 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 41/wk

41 weekly installs → early adoption

Forks 27
Description Detailed
License NOASSERTION

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 37 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for fpytloun/mnemory
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Matched Queries

topic:mcp

From the README

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# 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 ext
Read full README on GitHub →

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