This video is a complete workflow where an AI agent is built using n8n integrated with Zep for long-term relational memory. The system retrieves and filters user data via HTTP requests and code nodes, combining short-term memory from a PostgreSQL store with a dynamic knowledge graph from Zep. It uses Telegram for session-based interactions and optimizes API token usage with two memory management methods.
You'll bring your own API credentials (so the workflow runs under your accounts) — I'll walk you through wiring them up on our setup call, which is included with your purchase.
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