Building a Self-Learning AI Agent with Long-Term Memory Using n8n

Learn to build a self-learning AI agent using n8n that maintains long-term memory through Google Sheets integration and continuously improves through user interactions. Discover how to create an intelligent automation workflow that receives input via Telegram (supporting both text and audio messages), processes information using OpenAI's capabilities, and strategically decides when to store new knowledge versus simply responding to queries. Master the setup of Telegram triggers for seamless user communication, implement memory retrieval systems from Google Sheets databases, and handle multi-format input processing including audio transcription services. Explore the core logic that enables the AI agent to make autonomous decisions about learning new information, configure sophisticated AI prompts for intelligent responses, and develop memory management tools that allow the agent to evolve over time. Follow along with live demonstrations showing the complete workflow in action, from initial setup through advanced memory operations, while understanding the fundamental concepts behind persistent AI memory systems and automated learning mechanisms.