zep-memory

n8n community node for Zep AI Memory Service

Package Information

Released: 6/26/2025
Downloads: 55 weekly / 55 monthly
Latest Version: 1.0.0
Author: Your Name

Documentation

n8n-nodes-zep-memory

This is an n8n community node that provides integration with Zep AI Memory Service for managing users, sessions, and conversation memories in AI-powered applications.

Installation

Follow the installation guide in the n8n community nodes documentation.

Community Node Installation

  1. Go to Settings > Community Nodes
  2. Select Install a community node
  3. Enter n8n-nodes-zep-memory as the npm package name
  4. Click Install

Manual Installation (Development)

  1. Clone this repository
  2. Install dependencies: npm install
  3. Build the node: npm run build
  4. Link to your n8n installation: npm link
  5. In your n8n installation directory: npm link n8n-nodes-zep-memory

Credentials

The node requires Zep API credentials:

  • Base URL: Your Zep Memory Service URL (e.g., https://your-service.run.app)
  • API Key: Your N8N API key for authentication

Operations

User Resource

  • Create User: Create a new user with ID, email, name, and metadata
  • Get User: Retrieve user information by ID
  • Update User: Update user details
  • Delete User: Remove a user
  • List Users: Get all users

Session Resource

  • Create Session: Create a new chat session
  • Get Session: Retrieve session information
  • Update Session: Update session metadata
  • Delete Session: Remove a session
  • List Sessions: Get all sessions

Memory Resource

  • Get Memory: Retrieve conversation history for a session
  • Add Memory: Add new messages to session memory
  • Delete Memory: Clear session memory

Usage Examples

Creating a User and Session

  1. Create User Node:

    • Resource: User
    • Operation: Create
    • User ID: user_123
    • Email: user@example.com
    • First Name: John
    • Last Name: Doe
  2. Create Session Node:

    • Resource: Session
    • Operation: Create
    • Session ID: session_456
    • User ID: user_123
    • Metadata: {"channel": "web", "bot": "assistant"}

Adding Memory

  1. Add Memory Node:
    • Resource: Memory
    • Operation: Add
    • Session ID: session_456
    • Messages:
    [
      {"role": "user", "content": "Hello, how are you?"},
      {"role": "assistant", "content": "I'm doing well, thank you! How can I help you today?"}
    ]
    

Retrieving Memory

  1. Get Memory Node:
    • Resource: Memory
    • Operation: Get
    • Session ID: session_456

Message Format

Messages should follow this structure:

[
  {
    "role": "user",
    "content": "User message text"
  },
  {
    "role": "assistant", 
    "content": "Assistant response text"
  }
]

Supported roles:

  • user: Messages from the human user
  • assistant: Messages from the AI assistant
  • system: System messages (optional)

Error Handling

The node includes built-in error handling:

  • Invalid JSON in message fields will throw an error
  • API authentication failures are reported
  • Network connectivity issues are handled gracefully
  • Use "Continue on Fail" option to handle errors in workflows

Workflow Integration

This node works well with:

  • HTTP Request nodes for incoming webhooks
  • OpenAI nodes for AI responses
  • Code nodes for message processing
  • IF nodes for conditional logic
  • Set nodes for data transformation

Development

Building

npm run build

Linting

npm run lint
npm run lintfix

Publishing

npm publish

Support

License

MIT

Version History

1.0.0

  • Initial release
  • Support for User, Session, and Memory operations
  • Full CRUD operations
  • Authentication with API keys

Discussion