head to head · open source

Langfuse vs Agenta

Langfuse has 34,826 GitHub stars, 3,815 forks, 926 open issues and last shipped yesterday. Agenta has 4,766 stars, 674 forks, 309 open issues and last shipped today. Langfuse leads on adoption by 631% (34,826 vs 4,766 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 14%. 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 ★ 35K Agenta ★ 4.8K category AI & Machine Learning

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Side by side

Langfuse Agenta
GitHub stars ★ 35K ★ 4.8K
License Custom / other Custom / other
Written in TypeScript TypeScript
Last push 2026-09-19 2026-09-20
Forks ⑂ 3.8K ⑂ 674
Self-hosting Yes Yes
Data ownership Your server Your server

pick Langfuse if

  • You weight community size — 35K 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 is an open source LLM engineering platform for building, monitoring, and improving AI powered applications. It lives in the LLMops ecosystem and provides tooling for the full development lifecycle—from prompt iteration and evaluation to observability and dataset management. Built with TypeScript and powered by ClickHouse, it enables teams to track LLM calls, user sessions, and internal logic like retrieval or agent actions in a unified interface.

read the full Langfuse overview →

About Agenta

Agenta is an open source workspace where a team builds, runs, and improves AI agents by chatting with them, intended for individuals and teams that want agent automation without moving every task onto metered API billing.

read the full Agenta overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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More Machine Learning Infrastructure projects

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

Langfuse vs Ollama Langfuse vs llama.cpp Langfuse vs vllm Langfuse vs GPT4All Langfuse vs llama_index Langfuse vs LocalAI Langfuse vs faiss Langfuse vs PageIndex Langfuse vs cognee Langfuse vs taipy Langfuse vs dagster Langfuse vs zvec

Frequently asked questions

Is Langfuse or Agenta more popular?

Langfuse has 34,826 GitHub stars and Agenta has 4,766. 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 (34,826 stars) or its Custom / other licence terms. Choose Agenta if its feature set, stack or Custom / other licence fits better. Both are self-hostable.