head to head · open source
llama_index vs Agenta
llama_index has 52,237 GitHub stars, 8,178 forks, 770 open issues and last shipped yesterday. Agenta has 4,766 stars, 674 forks, 309 open issues and last shipped today. llama_index leads on adoption by 996% (52,237 vs 4,766 stars). llama_index is written in Python under MIT; Agenta is written in TypeScript under a custom or non-standard licence. llama_index has attracted 16% 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.
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Side by side
| llama_index | Agenta | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 4.8K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-19 | 2026-09-20 |
| Forks | ⑂ 8.2K | ⑂ 674 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT 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 llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index 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 →
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Frequently asked questions
Is llama_index or Agenta more popular?
llama_index has 52,237 GitHub stars and Agenta has 4,766. llama_index has the larger community by that measure.
Are llama_index and Agenta free?
Both are open source. llama_index is licensed under MIT, and Agenta has no licence declared in this registry. Both are free to self-host.
What is the difference between llama_index and Agenta?
llama_index 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, llama_index or Agenta?
Choose llama_index if you want the larger community (52,237 stars) or its MIT licence terms. Choose Agenta if its feature set, stack or Custom / other licence fits better. Both are self-hostable.