head to head · open source
txtai vs Agenta
txtai has 13,062 GitHub stars, 962 forks, 9 open issues and last shipped 2 days ago. Agenta has 4,891 stars, 725 forks, 309 open issues and last shipped yesterday. txtai leads on adoption by 167% (13,062 vs 4,891 stars). txtai is written in Python under Apache-2.0; Agenta is written in TypeScript under a custom or non-standard licence. txtai has attracted 7% 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. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.
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
| txtai | Agenta | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 4.9K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-11-03 | 2026-11-04 |
| Forks | ⑂ 962 | ⑂ 725 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick txtai if
- You weight community size — 13K 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 txtai
All in one AI framework txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows. The key component of txtai is an embeddings database, which is a union of vector indexes (sparse and dense), graph networks and relational databases. This foundation enables vector search and/or serves as a powerful knowledge source for large language model (LLM) applications. Build autonomous agents, retrieval augmented generation (RAG) processes, multi model workflows and more. Summary of txtai features: 🔎 Vector search with SQL, object storage, topic modeling, graph analysis and…
read the full txtai 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 →
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Frequently asked questions
Is txtai or Agenta more popular?
txtai has 13,062 GitHub stars and Agenta has 4,891. txtai has the larger community by that measure.
Are txtai and Agenta free?
Both are open source. txtai 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 txtai and Agenta?
txtai 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, txtai or Agenta?
Choose txtai if you want the larger community (13,062 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.