mcp-memory-service

Persistent Shared Memory for AI Agent Pipelines

Open-source memory backend for AI agents — REST API, MCP, OAuth, CLI, dashboard. One self-hosted service, every transport. 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

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Why Agents Need This

Your AI assistant forgets everything when you start a new chat. You spend 10 minutes re-explaining your architecture. Again. MCP Memory Service captures project context, architecture decisions, and code patterns automatically — new sessions start with everything already known.

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

Key capabilities for agent pipelines:

• Framework-agnostic REST API — no MCP client library needed; the live endpoint list is at /api/docs
• Knowledge graph — agents share causal chains, not just facts
• X-Agent-ID header — auto-tag memories by agent identity for scoped retrieval
• conversation_id — bypass deduplication for incremental conversation storage
• SSE events — real-time notifications when any agent stores or deletes a memory
• Embeddings run locally via ONNX — memory never leaves your infrastructure

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🚀 Get Started in 60 Seconds

Not sure which setup fits? The Setup Guide walks you to the right path in under a minute.

1. Install:

pip install mcp-memory-service

2. Configure your AI client:

Claude Desktop

Add to your config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "memory": {
      "command": "memory",
      "args": ["server"]
    }
  }
}

Restart Claude Desktop. Your AI now remembers everything across sessions.

Claude Code

claude mcp add memory -- memory server

Restart Claude Code. Memory tools will appear automatically.

Agent pipelines (REST API — LangGraph, CrewAI, AutoGen, any HTTP client)

MCP_ALLOW_ANONYMOUS_ACCESS=true memory server --http
# REST API running at http://localhost:8000

Store a memory with POST /api/memories, search with POST /api/search, retrieve by tag with POST /api/search/by-tag. Send X-Agent-ID: <id> on a store request and the server tags the memory agent:<id>, which a tag search then scopes retrieval by.

Worked examples per framework, the tag conventions and the async patterns: docs/agents/

OpenCode

MCP_ALLOW_ANONYMOUS_ACCESS=true memory server --http

The plugin ships as repository files for the local plugin directory, so clone the repository once even if you installed from PyPI. Install steps, the /memory slash command and the endpoint override: opencode/README.md

claude.ai and ChatGPT (browser — Remote MCP)

Remote MCP puts persistent memory in the browser on any device, no desktop app required: OAuth 2.0 over HTTPS, self-hosted or cloud-hosted. Both claude.ai and ChatGPT (Developer Mode) connect to the same endpoint.

Cloudflare Tunnel quick start, Let's Encrypt, nginx, Caddy and Docker production setups: Remote MCP Setup · 5-minute tutorial

Advanced: custom backends and team setup

git clone https://github.com/doobidoo/mcp-memory-service.git
cd mcp-memory-service
python scripts/installation/install.py

Choose from SQLite (local, fast, single-user), Cloudflare (cloud, multi-device sync), Hybrid (5ms local reads with background cloud sync — recommended for production) or Milvus (dedicated vector DB: Lite file, self-hosted, or Zilliz Cloud).

For long-lived services, prefer Docker Milvus or Zilliz Cloud over Milvus Lite — why.

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⚡ Works With Your Favorite AI Tools

• Agent frameworks (REST): LangGraph · CrewAI · AutoGen · OpenClaw/Nanobot · any HTTP client
• CLI and terminal (MCP): Claude Code · Gemini CLI · OpenCode · Codex CLI · Goose · Aider · Amp
• Desktop and IDE (MCP): Claude Desktop · VS Code · Cursor · Windsurf · Raycast · JetBrains · Zed
• Chat (MCP): ChatGPT (Developer Mode) · claude.ai (Remote MCP over HTTPS)

Full list, plus clients without OAuth such as Home Assistant: docs/integrations.md

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✨ Features

🧠 Persistent Memory – Context survives across sessions with semantic search 🔍 Smart Retrieval – Finds relevant context auto