head to head · open source
txtai vs autoflow
txtai has 12,964 GitHub stars, 891 forks, 9 open issues and last shipped 5 days ago. autoflow has 2,974 stars, 193 forks, 74 open issues and last shipped 5 months ago. txtai leads on adoption by 336% (12,964 vs 2,974 stars). txtai is written in Python under Apache-2.0; autoflow is written in TypeScript under Apache-2.0. txtai has attracted 7% as many forks as stars, autoflow 6%. txtai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (rag), 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 | autoflow | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 3.0K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-09-15 | 2026-04-27 |
| Forks | ⑂ 891 | ⑂ 193 |
| 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 autoflow if
- You want the autoflow feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and autoflow 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 autoflow
AutoFlow is an open source Graph RAG conversational knowledge base tool from PingCAP, built on TiDB Vector, LlamaIndex and DSPy, aimed at teams that want to turn their own documentation sites into a searchable, answer generating chatbot.
read the full autoflow overview →
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Frequently asked questions
Is txtai or autoflow more popular?
txtai has 12,964 GitHub stars and autoflow has 2,974. txtai has the larger community by that measure.
Are txtai and autoflow free?
Both are open source. txtai is licensed under Apache-2.0 and autoflow under Apache-2.0. Neither carries a licence fee.
What is the difference between txtai and autoflow?
txtai is written in Python and autoflow 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 autoflow?
Choose txtai if you want the larger community (12,964 stars) or its Apache-2.0 licence terms. Choose autoflow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.