// AI & ML
Ollama
Get up and running with large language models locally
Ollama is an open source ai & ml project written in Go, with 170,983 stars and 16,031 forks on GitHub. It is licensed under MIT and falls in the AI & ML category. Key topics: deepseek, gemma, gemma3, glm, go.
// FACTS
- Stars
- 171.0k
- Forks
- 16.0k
- Open issues
- 3.2k
- Language
- Go
- License
- MIT
- Category
- AI & ML
- Added
- 10d ago
- Updated
- 9d ago
// ABOUT
Ollama allows you to run powerful large language models like Llama 2, Code Llama, and Mistral directly on your local machine. It provides a simple API and CLI interface, making it easy to integrate AI capabilities into your applications without relying on cloud services. With support for a growing library of models and straightforward installation, Ollama is the fastest way to get started with local AI.
// TOPICS
// REVIEWS [003]
Really solid project with a few rough edges in the configuration. Once set up, it runs flawlessly and the community Slack is very active for support. Would give 5 stars if the initial setup was smoother.
Best open-source project in its category by far. The maintainers are incredibly active and the roadmap is transparent. We contributed a small feature and the PR review process was professional and constructive.
Outstanding software. The architecture is clean, performance is excellent, and the documentation covers everything you need. Our team was productive within hours of starting. Replacing our paid solution with this was the best technical decision we made this year.
$ WRITE A REVIEW
// COMMENTS [003]
The developer experience here is unmatched. Hot reloading, great error messages, and the TypeScript types are spot-on. This has replaced three other tools in our stack.
Been using this in production for 6 months now. Zero downtime, great performance, and the team is incredibly responsive to issues. Highly recommend for any serious project.
This is an absolute game-changer. We migrated our entire backend to this and cut our infrastructure costs by 40%. The documentation is excellent and the community is super helpful.
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