this is a full-stack guide to building autonomous AI agents in 2025 using n8n
it starts from first principles (what agency is), and walks through real agent architectures, how to connect LLMs to tools, add memory, use vector dbs, and build agent workflows that actually get things done.
includes working examples, reasoning strategies, and a full breakdown of the 6 levels of artificial agency.
it starts from first principles (what agency is), and walks through real agent architectures, how to connect LLMs to tools, add memory, use vector dbs, and build agent workflows that actually get things done.
includes working examples, reasoning strategies, and a full breakdown of the 6 levels of artificial agency.