n8n is general purpose automation that grew strong AI nodes. You drag nodes onto a canvas and connect them, so the people who own the process can see and change it without reading code.
Reach for it when
- Non engineers need to see and edit the workflow
- You are connecting many SaaS tools together
- You want self hosting rather than a closed platform
Look elsewhere when
- The logic is complex enough that code is clearer
- You need version control and tests around the flow
What the lessons will cover
- 01Install and self host
- 02Nodes and connections
- 03The AI Agent node
- 04Tools and sub workflows
- 05Memory
- 06Triggers and webhooks
- 07Error handling
- 08A working automation
Others in visual and no code
LangflowA visual builder for LangChain flows.
FlowiseOpen source drag and drop for LLM apps.
DifyBuild, deploy and watch agents from a browser.Common questions
Is n8n free to use?
n8n is open source and free to run yourself. You still pay whichever model provider you point it at, and this tutorial is free with no signup.
Do I need to know Python to use n8n?
No. n8n is built around a visual canvas, so you can get a working flow without writing code.
When should I not use n8n?
The logic is complex enough that code is clearer. You need version control and tests around the flow.
Lessons for n8n are being written. Meanwhile the LangGraph tutorial covers the same ground: state, tools, loops, memory and human approval. Most of it carries straight over.
Start the LangGraph tutorial →