head to head · open source
txtai vs Agenta
txtai has 12,964 GitHub stars, 891 forks, 9 open issues and last shipped 5 days ago. Agenta has 4,766 stars, 674 forks, 309 open issues and last shipped today. txtai leads on adoption by 172% (12,964 vs 4,766 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 14%. 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 | ★ 4.8K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-15 | 2026-09-20 |
| Forks | ⑂ 891 | ⑂ 674 |
| 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
txtai is an all in one AI framework for semantic search, LLM orchestration and language model workflows, written in Python and released under the Apache 2.0 license. It lives in the Python machine learning ecosystem and is built on Hugging Face Transformers, Sentence Transformers and FastAPI. The core component is an embeddings database, which is a union of vector indexes (both sparse and dense), graph networks and relational databases. That foundation enables vector search and also serves as a knowledge source for large language model applications.
read the full txtai 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 txtai or Agenta more popular?
txtai has 12,964 GitHub stars and Agenta has 4,766. 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 (12,964 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.