head to head · open source
txtai vs Olares
txtai has 12,964 GitHub stars, 891 forks, 9 open issues and last shipped 5 days ago. Olares has 5,278 stars, 329 forks, 155 open issues and last shipped yesterday. txtai leads on adoption by 146% (12,964 vs 5,278 stars). txtai is written in Python under Apache-2.0; Olares is written in Go under AGPL-3.0. txtai has attracted 7% as many forks as stars, Olares 6%. Olares 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 | Olares | |
|---|---|---|
| GitHub stars | ★ 13K | ★ 5.3K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-09-15 | 2026-09-19 |
| Forks | ⑂ 891 | ⑂ 329 |
| 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 Olares if
- You want the Olares feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and Olares 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 Olares
Olares is an open source personal cloud operating system built to run AI agents and large language models on hardware you own. It is written in Go and released under the AGPL 3.0 license, and it sits in the cloud native and self hosted corner of the machine learning infrastructure ecosystem. The project describes itself as an operating system you operate in plain language, powered by Kubernetes, turning a machine or a set of machines into a self hosted AI platform reachable from any browser.
read the full Olares overview →
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Frequently asked questions
Is txtai or Olares more popular?
txtai has 12,964 GitHub stars and Olares has 5,278. txtai has the larger community by that measure.
Are txtai and Olares free?
Both are open source. txtai is licensed under Apache-2.0 and Olares under AGPL-3.0. Neither carries a licence fee.
What is the difference between txtai and Olares?
txtai is written in Python and Olares in Go. 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 Olares?
Choose txtai if you want the larger community (12,964 stars) or its Apache-2.0 licence terms. Choose Olares if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.