n8n

Turn ideas into running workflows, fast. Build AI automations your way with code or drag and drop. Host anywhere, integrate everything, and scale...

✅ Use Cases

AI Workflow Automation

Move from ideas to real automations faster than your backlog can grow. Build flexible AI workflows using code when you want and drag and drop when you do not. Connect over 500 apps, plug AI into your own data, and design multi-step agents on a single screen. Run everything in the cloud or fully self-hosted for total control. Teams across IT, security, DevOps, and sales use it to save time and reduce errors. It scales with your systems, adapts to your logic, and stays transparent as workflows grow.

💡 Notable Features

Flexible AI Workflow Builder

You can design AI workflows visually or with code, depending on the task. Build multi step agents, connect LLMs, and control logic on one screen. It feels fast, practical, and made for real production use, not demos.

Code When Needed, UI When Not

Visual blocks are great for speed, but you can switch to JavaScript or Python anytime. Paste API calls, install libraries, and handle complex logic without breaking the workflow. This balance gives serious power without slowing teams down.

Full Self Hosting and Data Control

Everything can run on your own servers, including AI models. This is ideal for teams handling sensitive data. You get privacy, compliance, and peace of mind, while still keeping the same features as the cloud version.

500 Plus Integrations and Custom APIs

Connect popular apps, databases, and internal tools easily. When something is missing, custom APIs fill the gap. It adapts well to messy real world systems, which is rare in automation platforms.

Built for Teams and Scale

📄 Details Table

Release

2019

Founder

Jan Oberhauser

Location

Berlin, Germany.

Popularity

Over 100 million Docker pulls.

Main Features

Visual multi-step workflow automation plus code support and AI agent integration.

Best For

Technical teams, developers, ops teams, and businesses etc.

Pricing

From $24/mo

Support

👨‍🎓 Expert's Opinion

The flexibility is its biggest strength. You can move fast with visual workflows, then drop into code when things get serious. AI workflows feel practical, not hype driven. Self hosting is a major win for teams that care about data control. Debugging and testing are smoother than most automation tools I have used. The main drawback is the learning curve. Beginners may feel overwhelmed at first. It rewards technical thinking, but once it clicks, it becomes very hard to replace.

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