mcp-memory-service

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**

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[](https://opensource.org/licenses/Apache-2.0) [](https://pypi.org/project/mcp-memory-service/) [](https://pypi.org/project/mcp-memory-service/) [](https://github.com/doobidoo/mcp-memory-service/stargazers) [](https://github.com/langchain-ai/langgraph) [](https://crewai.com) [](https://github.com/microsoft/autogen) [](https://claude.ai) [](https://cursor.sh) [](docs/remote-mcp-setup.md) [](docs/remote-mcp-setup.md) [](docs/oauth-setup.md) [](https://github.com/sponsors/doobidoo)

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🎬 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.

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🌐 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

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