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n8n-nodes-graphiti

v1.0.16

Published

Graphiti temporal knowledge graph memory for n8n AI agents

Readme

n8n-nodes-graphiti

Graphiti Memory Node npm version License: MIT

🧠 Temporal Knowledge Graph Memory for n8n AI Agents

⚠️ Dependencies

This node requires Graphiti Awesome Memory backend to be running.

Graphiti Awesome Memory is a FastAPI-based adapter that provides REST API endpoints for Graphiti temporal knowledge graph. It handles:

  • User session management
  • Message persistence
  • Semantic fact extraction
  • Episode (conversation history) storage
  • Knowledge graph querying

📖 Setup Graphiti Awesome Memory Backend →


✨ Features

🧠 Dual Memory Architecture

  • Short-term Memory: Recent conversation episodes from database (persistent across restarts)
  • Long-term Memory: Extracted facts stored in temporal knowledge graph
  • Semantic Search: Intelligent fact retrieval based on query relevance

🔧 n8n Integration

  • ✅ AI Agent node compatible
  • ✅ Session-based memory per user
  • ✅ Configurable context windows
  • ✅ Graceful error handling with fallbacks
  • ✅ Comprehensive logging

🚀 Production Ready

  • ⏱️ 180-second timeout for slow LLM processing
  • 🔄 Network resilience with automatic fallbacks
  • 📊 Structured memory formatting for optimal LLM consumption
  • 🎯 Version 1.0.12 with comprehensive documentation

📦 Installation

Via n8n Community Nodes (Recommended)

  1. Open your n8n instance
  2. Go to SettingsCommunity Nodes
  3. Click Install
  4. Enter: n8n-nodes-graphiti
  5. Click Install
  6. Restart n8n

Manual Installation

npm install n8n-nodes-graphiti

⚙️ Configuration

1. Set up Graphiti Awesome Memory Backend

Follow the setup instructions at Graphiti Awesome Memory

Quick start:

docker pull gogobutters/graphiti-awesome-memory:latest
docker run -p 8000:8000 -e API_KEY=your-secret-key gogobutters/graphiti-awesome-memory

2. Configure Credentials in n8n

  1. Go to CredentialsNew
  2. Search for "Graphiti API"
  3. Fill in:
    • API URL: Your Graphiti server URL (e.g., http://192.168.1.98:8000)
    • API Key: Your authentication key
  4. Test and save

🎯 Usage

Basic AI Agent Workflow

[Webhook/Chat Trigger]
       ↓
[Settings Node] ← Define chatId/userId
       ↓
[Graphiti Memory] ← Load context (before agent)
       ↓
[AI Agent] ← Uses enriched memory
       ↓
[Graphiti Memory] ← Save conversation (after agent)
       ↓
[Respond to User]

Node Parameters

| Parameter | Default | Description | |-----------|---------|-------------| | Session ID Type | fromInput | How to determine session ID | | Session Key | ={{ $json.sessionId }} | Expression to extract user/session ID | | Context Window Length | 5 | Number of recent episodes to fetch from database | | Search Limit | 10 | Maximum facts retrieved from knowledge graph |

How It Works

When AI Agent requests memory, the node performs 2 API calls:

  1. Semantic Search (POST /memory/query)

    • Searches knowledge graph for relevant facts
    • Uses current user input as query
    • Returns top N most relevant facts with confidence scores
  2. Episode Retrieval (GET /memory/users/{userId}/episodes)

    • Fetches last N conversation messages from database
    • Persistent across n8n restarts
    • Returns actual user/assistant dialogue

Memory Output Format

=== Relevant Facts from Long-term Memory ===
1. User's name is Alice (confidence: 0.95)
2. Alice is interested in robotics (confidence: 0.89)
3. Alice is working on a robot arm project (confidence: 0.87)

=== Recent Conversation ===
User: Hi, how are you?
Assistant: I'm doing well, thanks for asking!
User: What's my name?

🔌 API Reference

Graphiti Awesome Memory Endpoints

POST /memory/append - Save conversation message

{
  "user_id": "35145416",
  "text": "User message content",
  "metadata": {
    "role": "user",
    "source": "n8n",
    "session_id": "35145416",
    "timestamp": "2025-12-01T12:00:00Z"
  }
}

POST /memory/query - Semantic fact search

{
  "user_id": "35145416",
  "query": "What do I like?",
  "limit": 10
}

GET /memory/users/{userId}/episodes - Retrieve conversation history

GET /memory/users/35145416/episodes?limit=5

🛠️ Development

Prerequisites

  • Node.js 18+
  • n8n installed locally
  • Graphiti Awesome Memory backend running

Setup

# Clone repository
git clone https://github.com/GoGoButters/Graphiti_n8n_node.git
cd Graphiti_n8n_node

# Install dependencies
npm install

# Build
npm run build

# Link for local n8n development
npm link
cd ~/.n8n/nodes
npm link n8n-nodes-graphiti

Scripts

  • npm run build - Compile TypeScript and copy assets
  • npm run dev - Watch mode for development
  • npm run format - Format code with Prettier
  • npm run lint - Lint code with ESLint
  • npm run lintfix - Auto-fix linting issues

🐛 Troubleshooting

Memory not loading

  • ✅ Check Graphiti Awesome Memory backend is running
  • ✅ Verify API credentials are correct
  • ✅ Check Session Key expression resolves correctly
  • ✅ Look at n8n server logs for detailed error messages

Server Logs Location:

# Docker
docker logs n8n-container --tail 100

# PM2
pm2 logs n8n

Connection timeout issues

  • ✅ Ensure Graphiti server is reachable from n8n
  • ✅ Check firewall/network settings
  • ✅ Verify API URL format (no trailing slash)
  • ✅ Consider increasing timeout if processing is slow

Session ID not persisted

  • ✅ Set Session ID Type to Define Below
  • ✅ Use expression: ={{ $('Settings').first().json.chatId }}
  • ✅ Ensure Settings node passes chatId/userId
  • ✅ Check logs for [Graphiti Node] FINAL sessionId

Episodes endpoint fails

Node automatically falls back to in-memory chatHistory if episodes endpoint is unavailable. Check logs:

[Graphiti] Error fetching episodes: ...
[Graphiti] Falling back to chatHistory...

🤝 Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes with tests
  4. Ensure linting passes (npm run lint)
  5. Commit changes (git commit -m 'feat: Add amazing feature')
  6. Push to branch (git push origin feature/amazing-feature)
  7. Open a Pull Request

💰 Support the Project

If you find this project valuable, consider supporting its development:

Cryptocurrency Donations

  • USDT (ERC20): 0xd91e775b3636f2be35d85252d8a17550c0f869a6
  • Bitcoin (BTC): 3Eaa654UHa7GZnKTpYr5Nt2UG5XoUcKXgx
  • Ethereum (ETH): 0x4dbf76b16b9de343ff17b88963d114f8155a2df0
  • Tron (TRX): TT9gPkor4QoR9c12x8HLbvCLeNcS9KDutc

Your support helps maintain and improve this project! 🙏


📄 License

MIT © GoGoButters


🔗 Links


📞 Support


⭐ Star History

Star History Chart


Made with ❤️ for the n8n and Graphiti communities