head to head · open source

Ollama vs infinity

Ollama has 185,702 GitHub stars, 18,873 forks, 3,957 open issues and last shipped yesterday. infinity has 4,755 stars, 458 forks, 126 open issues and last shipped yesterday. Ollama leads on adoption by 3,805% (185,702 vs 4,755 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 10%. 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.

Ollama ★ 186K infinity ★ 4.8K category AI & Machine Learning

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Side by side

Ollama infinity
GitHub stars ★ 186K ★ 4.8K
License MIT Apache-2.0
Written in Go C++
Last push 2026-11-02 2026-11-02
Forks ⑂ 19K ⑂ 458
Self-hosting Yes Yes
Data ownership Your server Your server

pick Ollama if

  • You weight community size — 186K stars and counting
  • You want the MIT license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Ollama profile →

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

full infinity profile →

About Ollama

Ollama Start building with open models. Download macOS or download manually Windows or download manually Linux Manual install instructions Docker The official Ollama Docker image ollama/ollama is available on Docker Hub. Libraries ollama python ollama js Community Discord 𝕏 (Twitter) Reddit Get started You'll be prompted to run a model or connect Ollama to your existing agents or applications such as Claude Code , OpenClaw , OpenCode , Codex , Copilot , and more. Coding To launch a specific integration: Supported integrations include Claude Code, Codex, Copilot CLI, DeepSeek Harness, Droid, and OpenCode. AI…

read the full Ollama overview →

About infinity

The AI native database built for LLM applications, providing incredibly fast hybrid search of dense embedding, sparse embedding, tensor and full text Document Benchmark Twitter Discord Infinity is a cutting edge AI native database that provides a wide range of search capabilities for rich data types such as dense vector, sparse vector, tensor, full text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question answering, conversational AI, copilot, content generation, and many more RAG (Retrieval augmented Generation) applications. Key Features Get…

read the full infinity overview →

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Frequently asked questions

Is Ollama or infinity more popular?

Ollama has 185,702 GitHub stars and infinity has 4,755. 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 (185,702 stars) or its MIT licence terms. Choose infinity if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.