n8n Integration

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Overview

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Quick start

1. Download the workflow from GitHub
2. In n8n, go to Workflows → Import from File
3. Add your Mengram API key as a Header Auth credential
4. Activate and test

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How it works

Webhook → Search Memories → Build Prompt → AI Response → Save to Memory → Respond

1. Search memories — POST to /v1/search with the user’s message to find relevant past context
2. AI Agent responds — system prompt includes retrieved memories, agent responds with full context
3. Save new memories — POST to /v1/add to store the conversation. Mengram auto-extracts facts and deduplicates

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Credential setup

Name: Mengram API Key
Header Name: Authorization
Header Value: Bearer om-your-api-key

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API endpoints used

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Swap the LLM

• Anthropic: https://api.anthropic.com/v1/messages
• Ollama (local): http://localhost:11434/api/chat
• Any OpenAI-compatible API: just change the URL and model name

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Example

curl -X POST http://localhost:5678/webhook/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "I prefer Python and use Railway for hosting", "user_id": "user-123"}'

# Later...
curl -X POST http://localhost:5678/webhook/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "What hosting should I deploy to?", "user_id": "user-123"}'

# Agent remembers Railway preference and responds accordingly

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Links

• Workflow on GitHub
• API Reference