head to head · open source
Ollama vs txtai
Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. txtai has 12,956 stars, 891 forks, 9 open issues and last shipped 3 days ago. Ollama leads on adoption by 1,298% (181,161 vs 12,956 stars). Ollama is written in Go under MIT; txtai is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, txtai 7%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| Ollama | txtai | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 13K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-09-15 |
| Forks | ⑂ 18K | ⑂ 891 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick txtai if
- You want the txtai feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and txtai fits your workflow better
About Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama overview →
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 →
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Frequently asked questions
Is Ollama or txtai more popular?
Ollama has 181,161 GitHub stars and txtai has 12,956. Ollama has the larger community by that measure.
Are Ollama and txtai free?
Both are open source. Ollama is licensed under MIT and txtai under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and txtai?
Ollama is written in Go and txtai in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Ollama or txtai?
Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose txtai if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.