head to head · open source
vllm vs Agenta
vllm has 96,158 GitHub stars, 24,317 forks, 7,953 open issues and last shipped yesterday. Agenta has 4,881 stars, 722 forks, 309 open issues and last shipped yesterday. vllm leads on adoption by 1,870% (96,158 vs 4,881 stars). vllm is written in Python under Apache-2.0; Agenta is written in TypeScript under a custom or non-standard licence. vllm has attracted 25% 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.
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Side by side
| vllm | Agenta | |
|---|---|---|
| GitHub stars | ★ 96K | ★ 4.9K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 24K | ⑂ 722 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick vllm if
- You weight community size — 96K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About vllm
Easy, fast, and cheap LLM serving for everyone 🔥 We have built a vLLM website to help you get started with vLLM. Please visit vllm.ai to learn more. For events, please visit vllm.ai/events to join us. About vLLM is a fast and easy to use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has grown into one of the most active open source AI projects built and maintained by a diverse community of many dozens of academic institutions and companies from over 2000 contributors. vLLM is fast with: State of the art serving throughput Efficient management of…
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 →
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Frequently asked questions
Is vllm or Agenta more popular?
vllm has 96,158 GitHub stars and Agenta has 4,881. vllm has the larger community by that measure.
Are vllm and Agenta free?
Both are open source. vllm is licensed under Apache-2.0, and Agenta has no licence declared in this registry. Both are free to self-host.
What is the difference between vllm and Agenta?
vllm is written in Python 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, vllm or Agenta?
Choose vllm if you want the larger community (96,158 stars) or its Apache-2.0 licence terms. Choose Agenta if its feature set, stack or Custom / other licence fits better. Both are self-hostable.