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n8n-io/n8n

Fair-code platform for building AI agents and workflows, combining a visual canvas with custom code; self-host or cloud, with 1500+ integrations.

  • 207k GitHub stars
  • TypeScript
curl -fsSL https://get.n8n.io | sh
n8n-io/n8n preview image

What it is

n8n is a fair-code platform to build and deploy AI agents and workflows. It combines a visual canvas with custom code (JavaScript, Python, npm packages) and can be run self-hosted or in the cloud. It connects to 1500+ integrations and offers 9,000+ workflow templates.

Who it's for

  • Teams building multi-step AI workflows and agents using their own data, models, and tools
  • Developers who want visual workflow building but also need to write custom code
  • Organizations that want to self-host automation with role-based access and audit trails

Requirements

Requirements

  • Docker (for the install script and manual Docker deployment)

Setup

  1. Quick start with install script

    Try n8n instantly with the install script (requires Docker).

    sh
    curl -fsSL https://get.n8n.io | sh
  2. Deploy manually with Docker

    Create a volume and run the container, then access the editor at http://localhost:5678.

    bash
    docker volume create n8n_data
    docker run -it --rm --name n8n -p 5678:5678 -v n8n_data:/home/node/.n8n docker.n8n.io/n8nio/n8n

Pros & cons

Pros

  • Pro:Combines a visual canvas with JavaScript, Python, and npm packages for custom logic
  • Pro:Model flexibility: connect to OpenAI, Anthropic, Google, or open-source models and switch providers without changing architecture
  • Pro:1500+ integrations and 9,000+ workflow templates to connect with existing systems
  • Pro:Self-hostable, with source code always visible and support for role-based access and audit trails

Cons

  • Con:Fair-code licensing (Sustainable Use License and n8n Enterprise License) rather than a standard open-source license
  • Con:Additional features and support require an Enterprise License

Images