head to head · open source
Ollama vs infinity
Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. infinity has 4,708 stars, 445 forks, 126 open issues and last shipped 9 days ago. Ollama leads on adoption by 3,748% (181,161 vs 4,708 stars). Ollama is written in Go under MIT; infinity is written in C++ under Apache-2.0. Ollama has attracted 10% as many forks as stars, infinity 9%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | infinity | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 4.7K |
| License | MIT | Apache-2.0 |
| Written in | Go | C++ |
| Last push | 2026-09-17 | 2026-09-09 |
| Forks | ⑂ 18K | ⑂ 445 |
| 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 infinity if
- You want the infinity feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches C++
- You evaluated both and infinity 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 infinity
Infinity is an Apache 2.0, C++ database in the AI and machine learning infrastructure ecosystem. It is an AI native database for large language model applications, including search, recommendation, question answering, conversational AI, copilot, content generation, and retrieval augmented generation. The project targets matching and ranking rich data types inside one system, rather than combining separate vector, text, and reranking components.
read the full infinity overview →
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Frequently asked questions
Is Ollama or infinity more popular?
Ollama has 181,161 GitHub stars and infinity has 4,708. Ollama has the larger community by that measure.
Are Ollama and infinity free?
Both are open source. Ollama is licensed under MIT and infinity under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and infinity?
Ollama is written in Go and infinity in C++. 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 infinity?
Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose infinity if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.