by doobidoo · MCP Server · ★ 1.9k
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mcp-memory-service Persistent Shared Memory for AI Agent Pipelines Open-source memory backend for multi-agent systems. Agents store decisions, share causal knowledge graphs, and retrieve context in 5ms — without cloud lock-in or API costs. Works with LangGraph · CrewAI · AutoGen · any HTTP client · Claude Desktop [, backed by Markdown and Mi
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Se
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mcp-memory-service is Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.. It is categorized as a MCP Server with 1.9k GitHub stars.
mcp-memory-service is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai-agents.
You can find installation instructions and usage details in the mcp-memory-service GitHub repository at github.com/doobidoo/mcp-memory-service. The project has 1.9k stars and 301 forks, indicating an active community.
mcp-memory-service is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-memory-service on Agent Skills Hub include mira-OSS, honcho, EverMemOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.