mcp-memory-service and memory-mcp

mcp-memory-service
73
Verified
memory-mcp
52
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 6/25
Adoption 5/25
Maturity 24/25
Community 17/25
Stars: 1,504
Forks: 215
Downloads:
Commits (30d): 137
Language: Python
License: Apache-2.0
Stars: 14
Forks: 9
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No risk flags

About mcp-memory-service

doobidoo/mcp-memory-service

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

This service provides a shared, persistent memory for AI agents, allowing them to retain information and learn across different tasks and sessions. It takes in decisions and facts from various agents, organizing them into a knowledge graph. The output is fast, relevant context that helps agents make better decisions, suitable for anyone building or managing multi-agent AI systems, like AI solution architects or AI product managers.

AI agent orchestration AI memory management Knowledge graph for AI Multi-agent systems AI workflow persistence

About memory-mcp

JamesANZ/memory-mcp

A simple MCP server that stores and retrieves memories from multiple LLMs.

Implements intelligent context window caching with automatic archival at 80% capacity and retrieval when usage drops below 30%, using MongoDB for persistent storage and relevance scoring via keyword overlap. Provides tag-based search and conversation summaries to manage extended LLM sessions, integrating directly with Cursor and Claude Desktop via the MCP protocol.

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