automem and mcp-automem

The first is the core AutoMem service/library, while the second is its Model Context Protocol (MCP) wrapper, making them ecosystem siblings where the MCP version enables AutoMem integration with Claude and other MCP-compatible AI agents.

automem
61
Established
mcp-automem
58
Established
Maintenance 17/25
Adoption 10/25
Maturity 15/25
Community 19/25
Maintenance 10/25
Adoption 7/25
Maturity 24/25
Community 17/25
Stars: 659
Forks: 80
Downloads:
Commits (30d): 7
Language: Python
License: MIT
Stars: 41
Forks: 10
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No risk flags

About automem

verygoodplugins/automem

AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

This is a memory system that helps AI assistants remember and learn over time, just like a human. It takes unstructured information that an AI interacts with and converts it into a structured, connected memory that the AI can recall with full context and reasoning. It's designed for anyone building AI assistants that need to retain knowledge and evolve their understanding across different conversations or tasks.

AI-assistant-memory conversational-AI knowledge-retention decision-context organizational-knowledge

About mcp-automem

verygoodplugins/mcp-automem

AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

This project gives your AI assistant a perfect, persistent memory across all conversations and tools. You input your AI's interactions and decisions, and it remembers everything, allowing it to learn your specific coding style, preferences, and past choices. This is for developers, engineers, and knowledge workers who use AI coding assistants or general AI tools for complex tasks.

AI assistant personalization developer tools code generation knowledge retention AI workflow enhancement

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