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Reviewed by Marcus Holmberg
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Ollama

ollama.com
5.0 (5)
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Ollama lets you download and run large language models locally via a simple CLI and REST API. Supports a growing library of open models including Llama, Mistral, and Gemma on Windows, Mac, and Linux with no data sent to the cloud.

Threat level
Hardened

A hardened pick. Worth the effort once you have chosen to shrink your footprint on purpose. Enough for most people. Threat levels

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Our take

The clearest on-ramp to local AI: one command pulls a model, a second starts a chat, and nothing leaves your machine. The REST API makes it easy to wire into other tools or build small apps on top. The catch is hardware: capable models need a modern GPU and several gigabytes of RAM, so older or low-spec machines will struggle. For anyone with decent hardware who wants private AI inference without managing Python environments, Ollama is the obvious starting point.

GitHub at a glance
ollama/ollama
Stars
176,136
+ 1,685 this week
Last commit
13d ago
healthy
License
MIT
Latest release
v0.31.1
14d ago
Stars, last 35d
Website at a glance
ollama.com
C score 50
Basic website security headers
Graded by Mozilla HTTP Observatory, tested 1d ago

Measures the security configuration of the tool's own website, not the privacy of the product itself. A strong tool can still score low here.

Ollama alternatives

Ollama license, in plain English
MIT
Permissive

Do almost anything: use, change, and ship it, even inside closed-source products. The only condition is keeping the copyright notice.

Permits

  • Commercial use
  • Modification
  • Distribution
  • Private use

Requires

  • License and copyright notice

Does not provide

  • Liability cover
  • Warranty

Why it matters: Permissive licensing lets anyone reuse this, including inside closed products. That is freedom to build on, but no guarantee that downstream copies stay open.

Plain-language summary of the project's license, not legal advice. Read the full text for the exact terms.