head to head · open source

langgraph vs Temporal

langgraph has 44,336 GitHub stars, 7,622 forks, 786 open issues and last shipped yesterday. Temporal has 24,138 stars, 2,068 forks, 956 open issues and last shipped yesterday. langgraph leads on adoption by 84% (44,336 vs 24,138 stars). langgraph is written in Python under MIT; Temporal is written in Go under MIT. langgraph has attracted 17% as many forks as stars, Temporal 9%. Temporal was the more recently maintained of the two, and both are self-hostable with no licence fee.

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

langgraph ★ 44K Temporal ★ 24K category AI & Machine Learning

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Side by side

langgraph Temporal
GitHub stars ★ 44K ★ 24K
License MIT MIT
Written in Python Go
Last push 2026-11-02 2026-11-02
Forks ⑂ 7.6K ⑂ 2.1K
Self-hosting Yes Yes
Data ownership Your server Your server

pick langgraph if

  • You weight community size — 44K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full langgraph profile →

pick Temporal if

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

full Temporal profile →

About langgraph

Low level orchestration framework for building stateful agents. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low level orchestration framework for building, managing, and deploying long running, stateful agents. [!TIP] If you're looking to quickly build agents, check out Deep Agents — a higher level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks. For an equivalent JS/TS library, check out LangGraph.js and the JS docs. Why use LangGraph? LangGraph provides low level supporting…

read the full langgraph overview →

About Temporal

Temporal—durable execution platform Introduction • Getting Started • Contributing • Temporal Docs • Temporal 101 Introduction Temporal is a durable execution platform that enables developers to build scalable applications without sacrificing productivity or reliability. The Temporal server executes units of application logic called Workflows in a resilient manner that automatically handles intermittent failures, and retries failed operations. Temporal is a mature technology that originated as a fork of Uber's Cadence. It is developed by Temporal Technologies, a startup by the creators of…

read the full Temporal overview →

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Frequently asked questions

Is langgraph or Temporal more popular?

langgraph has 44,336 GitHub stars and Temporal has 24,138. langgraph has the larger community by that measure.

Are langgraph and Temporal free?

Both are open source. langgraph is licensed under MIT and Temporal under MIT. Neither carries a licence fee.

What is the difference between langgraph and Temporal?

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

Which should I choose, langgraph or Temporal?

Choose langgraph if you want the larger community (44,336 stars) or its MIT licence terms. Choose Temporal if its feature set, stack or MIT licence fits better. Both are self-hostable.