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MCP Memory Service

Persistent memory for AI agents — knowledge graph, REST API and MCP server for LangGraph, CrewAI, AutoGen and Claude.

★ 1,900 GitHub Apache-2.0 mcpmemoryknowledge-graphagentslanggraphcrewaiautogenclaude MCP Servers

Overview

Open-source persistent memory layer for AI agents and pipelines. MCP Memory Service gives your LLM applications durable, searchable memory backed by a knowledge graph — with a REST API and a Model Context Protocol (MCP) server that plug directly into LangGraph, CrewAI, AutoGen, OpenCode and Claude. It stores entities, relationships and semantic embeddings, supports autonomous consolidation, and lets agents retrieve relevant context across sessions instead of re-inventing context every run.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Affiliate disclosure

Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  mcp-memory-service:
    image: doobidoo/mcp-memory-service:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/mcp-memory-service:/data

Best VPS for MCP Memory Service →

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Guides & articles

How to Deploy MCP Memory Service with Docker: Step-by-Step Tutorial

Deploy MCP Memory Service with Docker in minutes. A hands-on tutorial covering setup, health checks, MCP client integration and persistence verification.

Aug 23, 2026

MCP Memory Service: A Complete Guide to Persistent Memory for AI Agents

Give your AI agents durable, queryable memory. A deep dive into MCP Memory Service — the open-source knowledge graph + MCP server for LangGraph, CrewAI, AutoGen and Claude.

Aug 23, 2026