head to head · open source

Langfuse vs Agenta

Langfuse has 36,970 GitHub stars, 4,150 forks, 926 open issues and last shipped yesterday. Agenta has 4,891 stars, 725 forks, 309 open issues and last shipped yesterday. Langfuse leads on adoption by 656% (36,970 vs 4,891 stars). Langfuse is written in TypeScript under a custom or non-standard licence; Agenta is written in TypeScript under a custom or non-standard licence. Langfuse has attracted 11% as many forks as stars, Agenta 15%. Agenta 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.

Langfuse ★ 37K Agenta ★ 4.9K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Langfuse Agenta
GitHub stars ★ 37K ★ 4.9K
License Custom / other Custom / other
Written in TypeScript TypeScript
Last push 2026-11-04 2026-11-04
Forks ⑂ 4.2K ⑂ 725
Self-hosting Yes Yes
Data ownership Your server Your server

pick Langfuse if

  • You weight community size — 37K 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 Langfuse profile →

pick Agenta if

  • You want the Agenta feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches TypeScript
  • You evaluated both and Agenta fits your workflow better

full Agenta profile →

About Langfuse

Langfuse Cloud · Self Host · Demo Docs · Report Bug · Feature Request · Changelog · Roadmap · Langfuse is an open source LLM engineering platform. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be self hosted in minutes and is battle tested . Proudly made with ClickHouse open source database. 🧑‍💻 We're hiring Langfuse is growing fast (we doubled the team in the last 6 months) since January 2026 we're part of ClickHouse, we're hiring engineering hybrid across the EU. We hire engineers who love open source and great developer experiences. See open roles → ✨…

read the full Langfuse overview →

About Agenta

The open source workspace for building and running agents Build agents that automate your work by chatting with them. Share them with your team , connect them to the apps you use, and run them in the background . Documentation • Website • Agenta Cloud What is Agenta? Agenta is an open source workspace where you build specialized agents that automate and augment your work. You build agents by chatting with them. You describe the work, connect the apps they need, and improve them through feedback. You can work with your agents directly in chat and share them with your team. For recurring work, you can…

read the full Agenta overview →

More in AI & Machine Learning

Related comparisons

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Frequently asked questions

Is Langfuse or Agenta more popular?

Langfuse has 36,970 GitHub stars and Agenta has 4,891. Langfuse has the larger community by that measure.

Are Langfuse and Agenta free?

Neither Langfuse nor Agenta declares a licence in this registry, so check each project's own repository before relying on either for a commercial use. Both are free to self-host.

What is the difference between Langfuse and Agenta?

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

Which should I choose, Langfuse or Agenta?

Choose Langfuse if you want the larger community (36,970 stars) or its Custom / other licence terms. Choose Agenta if its feature set, stack or Custom / other licence fits better. Both are self-hostable.