Building an agentic Q&A chatbot in n8n 2.7.3 with memory and tool use is a concrete starting point for n8n automation in 2026
The chatbot having memory for context across a conversation, tool use for taking actions beyond generating text responses and the visual workflow builder being the configuration environment is the combination that makes n8n agent creation accessible without requiring code.
The specific workflow structure, LLM node, memory node and tool nodes connected in the visual canvas, being what an agent looks like in n8n gives you the mental model before building your own. Understanding the architecture before configuring the components changes how quickly the first build goes.
The agentic automation framing, where the workflow includes decision-making rather than only executing predefined steps, is the capability step beyond standard n8n trigger-action automation that the tutorial is specifically demonstrating. The difference between a workflow that routes email to a folder and a workflow that reads email, decides whether it requires immediate response and drafts a contextually appropriate reply is the agency dimension.
What is the first agentic workflow you built in n8n that could not have been built as a standard trigger-action automation?