mcp-memory-service and universal-memory-mcp

mcp-memory-service
70
Verified
universal-memory-mcp
48
Emerging
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 13/25
Adoption 3/25
Maturity 20/25
Community 12/25
Stars: 1,504
Forks: 215
Downloads:
Commits (30d): 137
Language: Python
License: Apache-2.0
Stars: 3
Forks: 1
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 universal-memory-mcp

slicenferqin/universal-memory-mcp

超级个人助理 - 通用、跨项目、100%本地私有的AI记忆系统(基于MCP协议)- Super personal assistant for any AI CLI - Universal, cross-project, 100% local & private via MCP

Implements a three-tier memory architecture (sensory → short-term → long-term) with automated daily extraction and weekly consolidation, using SQLite vector indexing for semantic + keyword hybrid search with sub-5ms latency. Operates as an MCP server compatible with Claude Code, OpenCode, Copilot, and other AI CLIs, storing all data locally with automatic lifecycle management (archival after 30+ days) and optional project-specific relevance weighting.

Scores updated daily from GitHub, PyPI, and npm data. How scores work