Run large language models locally with a simple CLI. Supports Llama, Mistral, Gemma, and 100+ models with one command.
Ollama is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view ollama/ollama --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 103 days ago.
110000 GitHub stars indicate community interest.
480 open issues signal maintenance load.
MIT license detected.
2 security/trust notes recorded.
Setup difficulty is 1/5.
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Build stateful, multi-actor AI agents with graph-based workflows. From LangChain, the most popular LLM framework.
Ollama makes running AI models locally as easy as 'ollama run llama3'. It handles model downloading, GPU acceleration, and provides a REST API for integration. No cloud dependency, no subscription fees.
110,000
Stars
8,700
Forks
480
Issues
MIT
License
Run large language models locally with a simple CLI. Supports Llama, Mistral, Gemma, and 100+ models with one command.
AI Developers, Privacy-first Teams
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
100% local, no data sent to any server GPU access required for acceleration
Similar or complementary options to evaluate include anthropic-skills, Continue, Claude Code.
Aug 20, 2026