Mcp Memory Service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST A
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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 · OpenCode
](https://opensource.org/licenses/Apache-2.0) [ ](https://pypi.org/project/mcp-memory-service/) [ ](https://github.com/langchain-ai/langgraph) [ ](https://github.com/microsoft/autogen) [ ](https://cursor.sh) [ ](docs/remote-mcp-setup.md) [ [](https://github.com/sponsors/doobidoo)
🎬 See It in Action
[](https://youtu.be/W34r8VFoSdQ)
[Watch the Web Dashboard Walkthrough on YouTube](https://youtu.be/W34r8VFoSdQ) — Semantic search, tag browser, document ingestion, analytics, quality scoring, and API docs in under 2 minutes.
🌐 Works with claude.ai (Browser)
Unlike desktop-only MCP servers, mcp-memory-service supports Remote MCP for native claude.ai integration.
What this means:
- ✅ Use persistent memory directly in your browser (no Claude Desktop required)
- ✅ Works on any device (laptop, tablet, phone)
- ✅ Enterprise-ready (OAuth 2.0 + HTTPS + CORS)
- ✅ Self-hosted OR cloud-hosted (your choice)
5-Minute Setup:
# 1. Start server with Remote MCP enabled
MCP_STREAMABLE_HTTP_MODE=1 \
MCP_SSE_HOST=0.0.0.0 \
MCP_SSE_PORT=8765 \
MCP_OAUTH_ENABLED=true \
python -m mcp_memory_service.server
# 2. Expose via Cloudflare Tunnel (or your own HTTPS setup)
cloudflared tunnel --url http://localhost:8765
# → Outputs: https://random-name.trycloudflare.com
# 3. In claude.ai: Settings → Connectors → Add Connector
# Paste the URL: https://random-name.trycloudflare.com/mcp
# OAuth flow will handle authentication automaticallyProduction Setup: See Remote MCP Setup Guide for Let's Encrypt, nginx, and firewall configuration. Step-by-Step Tutorial: Blog: 5-Minute claude.ai Setup | Wiki Guide
Why Agents Need This
| Without mcp-memory-service | With mcp-memory-service |
|---|---|
| Each agent run starts from zero | Agents retrieve prior decisions in 5ms |
| Memory is local to one graph/run | Memory is shared across all agents and runs |
| You manage Redis + Pinecone + glue code | One self-hosted service, zero cloud cost |
| No causal relationships between facts | Knowledge graph with typed edges (causes, fixes, contradicts) |
| Context window limits create amnesia | Autonomous consolidation compresses old memories |
Don't lose this
Three weeks from now, you'll want Mcp Memory Service again. Will you remember where to find it?
Save it to your library and the next time you need Mcp Memory Service, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST A. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
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