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Visual Workflows and AI Automation

n8n combines a visual canvas, custom code, AI agents and workflows in a fair-code automation platform. It supports self-hosted or cloud deployment and can include different model providers in your workflows.

Updates

  • September 8, 2026: Stars 203,289 → 203,702, latest release n8n@2.38.4 (September 7, 2026).
  • September 4, 2026: Stars 203,287 → 203,289, latest release n8n@2.37.10 (September 4, 2026).
  • September 4, 2026: Stars 203,105 → 203,287, latest release n8n@2.37.9 (September 3, 2026).
  • September 2, 2026: Stars 202,957 → 203,105, latest release n8n@2.37.7 (September 2, 2026).

Installation

Create the data volume
docker volume create n8n_data

Running it

Start the n8n Docker container
docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

What does this tool do?

With n8n, you can build workflows on a visual canvas and extend them with JavaScript, Python and npm packages. Official sources list model flexibility across OpenAI, Anthropic, Google and open-source models, along with human approvals, observability, role-based access and audit trails. The platform can be deployed self-hosted or in the cloud.

Who it is for

Teams that want to combine visual workflow design with custom code and AI agents.

What not to expect

People who only want closed-source licensed products or do not want to extend workflows with code or configuration.

Highlights

  • Combines a visual canvas, custom code and AI agents in workflows.
  • Can be extended with JavaScript, Python and npm packages.
  • Offers self-hosted and cloud deployment options.
  • Lists human approvals, observability, role-based access and audit trails.

First-use flow

  1. Follow the official quick start with Docker to run n8n.
  2. Open the editor on port 5678 in your browser.
  3. Create your first workflow on the visual canvas.
  4. Add custom code or a supported model provider according to your needs.

Safe start

n8n is source-available under the Sustainable Use License. Review the official license terms and configure access and operation for your self-hosted deployment.

First task prompt

🤖 Paste this into your AI agent (Claude Code · Codex · Antigravity)

Help me design a workflow on the visual canvas that accepts an input, processes it with an AI model and passes the result to the next step.

Related dictionary terms

Self-hostingContainerOpen Source

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-08-23: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.