AutoMem MCP: Give Your AI Perfect Memory

One command. Infinite memory. Perfect recall across all your AI tools.

npx @verygoodplugins/mcp-automem setup

Your AI assistant now remembers everything. Forever. Across every conversation.

_{The guided installer — npx @verygoodplugins/mcp-automem install walks you through local, hosted, or existing-endpoint setup.}

Works with Claude Desktop, Cursor IDE, Claude Code, GitHub Copilot (coding agent), ChatGPT, ElevenLabs, OpenAI Codex, OpenClaw, Hermes, Grok Build, Google Antigravity - any MCP-compatible AI platform.

The Problem We Solve

Every AI conversation starts from zero. Claude forgets your coding style. Cursor can't learn your patterns. Your assistant doesn't remember yesterday's decisions.

Until now.

AutoMem MCP connects your AI to persistent memory powered by AutoMem - a graph-vector memory service.

What You Get

🧠 Persistent Memory Across Sessions

• AI remembers decisions, patterns, and context forever
• Works across all MCP platforms - Claude Desktop, Cursor, Claude Code, OpenAI Codex, OpenClaw, Hermes, Grok Build, Google Antigravity
• Cross-device sync - same memory on Mac, Windows, Linux

🏆 Graph-Vector Architecture

• 11 public authorable relationship types between memories (recall results may also include read-only system/internal relations that are not valid associate_memories inputs)
• Research-validated approach (HippoRAG 2: 7% better associative memory)
• Sub-second retrieval even with millions of memories

🚀 Works Everywhere You Code

See It In Action

Claude Desktop with Personal Preferences

Claude automatically recalls memories using the Personal Preferences template

Cursor IDE with Memory Rules

Cursor uses automem.mdc rule to automatically recall and store memories

Claude Code with Session Memory

Session-start recall plus LLM-judged storage: Claude decides what's durable and stores it via the memory tools

More platform walkthroughs (Codex, Hermes, Antigravity, remote MCP) live in the Installation Guide.

Quick Start

1. Set Up AutoMem Service

You need a running AutoMem service (the memory backend). Choose one:

Option A: Local Development (fastest, free)

git clone https://github.com/verygoodplugins/automem.git
cd automem
make dev

Service runs at http://localhost:8001 - perfect for single-machine use.

Option B: Railway Cloud (recommended for production)

One-click deploy with $5 free credits. Typical cost: ~$0.50-1/month after trial.

👉 AutoMem Service Installation Guide - Complete setup instructions for local, Railway, Docker, and production deployments.

2. Install MCP Client

Claude Desktop - One-Click Install

Download and double-click to install AutoMem in Claude Desktop:

⬇️ Download AutoMem for Claude Desktop (.mcpb)

After installing:

1. Claude Desktop will prompt you for your AutoMem Endpoint (http://127.0.0.1:8001 for local)
2. Optionally enter your API Key (required for Railway, skip for local)
3. Click Enable

Then add the paste-ready Personal Preferences starter from templates/CLAUDE_DESKTOP_INSTRUCTIONS.md. That's it: Claude now has persistent memory and knows when to use it.

Other Platforms

Connect your AI tools to the AutoMem service you just started.

# Guided install - pick where AutoMem runs, verify it, write .env, and
# configure your agents (Codex, Claude Code, Cursor, OpenClaw, Hermes)
npx @verygoodplugins/mcp-automem install

Every change is shown in a review plan before anything is written, and each modified file keeps a .bak backup. Add --dry-run to preview, --yes to apply non-interactively. See the Installation Guide for all flags.

Just need the .env + config snippets without the agent setup? Use the lighter wizard:

# Creates .env and prints config for your AI platform
npx @verygoodplugins/mcp-automem setup

When prompted:

• AutoMem Endpoint: http://localhost:8001 (or your Railway URL if deployed)
• API Key: Leave blank for local development (or paste your token for Railway)

The wizard will:

• ✅ Save your endpoint and API key to .env
• ✅ Generate config snippets for Claude Desktop/Cursor/Code
• ✅ Validate connection to your AutoMem service

3. Platform-Specific Setup

For Claude Code (plugin — recommended):

# In Claude Code:
/plugin marketplace add verygoodplugins/mcp-automem
/plugin install automem@verygoodplugins-mcp-automem

Claude Code prompts for your AutoMem URL and API key at enable time, bundles the MCP server and silent recall/store-tracking hooks, and auto-updates. Prefer hooks and permissions written directly into ~/.claude/ instead? Run npx @verygoodplugins/mcp-automem claude-code.

On Windows, the hook payload assumes a POSIX shell environment such as Git Bash, MSYS2, or WSL — only bash is required (the hooks are pure bash+sed).

For Cursor IDE:

# Or use CLI to install automem.mdc rule file
npx @verygoodplugins/mcp-automem cursor

Other platforms — Claude Desktop (one-click .mcpb above, plus the Personal Preferences template), OpenAI Codex, Hermes Agent, Grok Build, OpenClaw, Google Antigravity, and GitHub Copilot:

👉 Full Installation Guide for every platform's setup and verification steps

Remote MCP via HTTP

An optional sidecar service (deployable to Railway or any Docker host) connects AutoMem to platforms that support remote MCP over Streamable HTTP or SSE — ChatGPT (Developer Mode connectors), Claude.ai web and Claude Mobile, and ElevenLabs Agents.

👉 Remote MCP setup for deployment, connect URLs, and per-platform screenshots.

Architecture

┌─────────────────────────────────────────────┐
│         Your AI Platforms                   │
│  Claude Desktop │ Cursor │ Claude Code      │
└──────────────┬──────────────────────────────┘
               │ MCP Protocol
               ▼
┌──────────────────────────────────────────────┐
│   @verygoodplugins/mcp-automem (this repo)  │
│   • Translates MCP calls → AutoMem API      │
│   • Platform integrations & rules           │
│   • Handles authentication                   │
└──────────────┬───────────────────────────────┘
               │ HTTP API
               ▼
┌──────────────────────────────────────────────┐
│        AutoMem Service (separate repo)       │
│        github.com/verygoodplugins/automem    │
│   ┌────────────┐      ┌────────────┐        │
│   │  FalkorDB  │      │   Qdrant   │        │
│   │  (Graph)   │      │ (Vectors)  │        │
│   └────────────┘      └────────────┘        │
└──────────────────────────────────────────────┘

This repo (mcp-automem):

• MCP client that connects AI platforms to AutoMem
• Platform-specific integrations (Cursor rules, Claude Code hooks, etc.)
• Setup wizards and configuration tools

AutoMem service:

• Backend memory service with graph + vector storage
• Deployment guides (local, Railway, Docker, production)
• API server with FalkorDB + Qdrant

Features

Core Memory Operations