head to head · open source

n8n vs langgraph

n8n has 205,086 GitHub stars, 60,753 forks, 1,143 open issues and last shipped today. langgraph has 41,863 stars, 7,069 forks, 786 open issues and last shipped today. n8n leads on adoption by 390% (205,086 vs 41,863 stars). n8n is written in TypeScript under a custom or non-standard licence; langgraph is written in Python under MIT. n8n has attracted 30% as many forks as stars, langgraph 17%. langgraph was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

n8n ★ 205K langgraph ★ 42K category Productivity & Utilities

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Side by side

n8n langgraph
GitHub stars ★ 205K ★ 42K
License Custom / other MIT
Written in TypeScript Python
Last push 2026-09-18 2026-09-18
Forks ⑂ 61K ⑂ 7.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick n8n if

  • You weight community size — 205K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full n8n profile →

pick langgraph if

  • You want the langgraph feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and langgraph fits your workflow better

full langgraph profile →

About n8n

n8n is a visual workflow automation platform built in TypeScript that combines a drag and drop editor with custom code execution. It lives in the integration and automation ecosystem, positioned as an open alternative to proprietary services like Zapier. Users design multi step workflows—called “n8n flows”—that connect apps, services, and custom logic to automate repetitive tasks.

read the full n8n overview →

About langgraph

LangGraph is a low level Python orchestration framework for building stateful, long running agents, aimed at developers and platform teams who need durable execution, human in the loop control, and persistent memory instead of a turnkey agent application.

read the full langgraph overview →

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Compare either of these against the rest of the Automation field.

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Frequently asked questions

Is n8n or langgraph more popular?

n8n has 205,086 GitHub stars and langgraph has 41,863. n8n has the larger community by that measure.

Are n8n and langgraph free?

Both are open source. n8n has no licence declared in this registry, and langgraph is licensed under MIT. Both are free to self-host.

What is the difference between n8n and langgraph?

n8n is written in TypeScript and langgraph in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, n8n or langgraph?

Choose n8n if you want the larger community (205,086 stars) or its Custom / other licence terms. Choose langgraph if its feature set, stack or MIT licence fits better. Both are self-hostable.