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Ollama

ollama/ollamaReviewed by AI

What it does

Ollama runs open AI language models on your own computer. You install it, pick a model, and chat with it in a window or a terminal, or connect it to other apps and coding tools through its local web interface. Models run on your machine, so your conversations stay there unless you choose Ollama's optional cloud models. Models are several gigabytes each, big ones need a lot of memory, and a good graphics card makes them much faster.

How easy it is to install

B · installer plus one simple step · Windows

  • Windows B
  • macOS B
  • Linux C

Windows has a ready installer (OllamaSetup.exe) and Mac a .dmg, and after installing you only pick and download a model. On Linux the README gives only a terminal install command (`curl -fsSL https://ollama.com/install.sh | sh`) and you use it by typing commands.

Numbers on GitHub

Stars
185,479on Oct 31, 2026
Downloads
236,961,3213,317,302 this week
Growth
+712stars in 6 days

Stars over time

184,600184,800185,000185,200185,400185,600 Oct 25Oct 27Oct 29Oct 31 184,600184,800185,000185,200185,400185,600 Oct 25Oct 28Oct 31

Facts

Runs on
Windows, macOS, Linux
You need to install
Nothing extra
To build from source
Docker, Go
Disk space
1.6 GB–4.7 GB · from the installer
Accounts or keys
None
Cost
Freemium · Running models on your own machine is free. The README offers access "locally or in the cloud"; the cloud option is a paid service from Ollama and the package does not state prices.
License
MIT (Permissive)
Last update
Oct 31, 2026

Risk signals (5)

  • Inforeadme alternatives belong to other projects

    The "Community Integrations" list describes other people's projects, not Ollama itself: "[Void] - Open source AI code editor, Cursor alternative", "[twinny] - Copilot and Copilot chat alternative", "[AppFlowy] - AI collaborative workspace, self-hostable Notion alternative", "[Perplexica] - AI-powered search engine, open-source Perplexity alternative". Ollama by itself is the engine those apps connect to.

    AI review

  • Infolocal api without a password

    README: `curl http://localhost:11434/api/chat -d ...` with no key or password, and the community list includes "[Ollama Fortress] - Security proxy for Ollama". Anything that reaches that port can use your models; it normally listens only on your own machine.

    AI review

  • Infoinstall script runs from website

    README Download section: `curl -fsSL https://ollama.com/install.sh | sh` for Mac and Linux and `irm https://ollama.com/install.ps1 | iex` for Windows. Those commands run a script fetched from ollama.com at that moment; the README also links manual installers.

    AI review

  • Infomodels have their own licences

    The description lists "Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models" pulled from ollama.com/library. Ollama's own MIT licence does not cover those model weights, which come with their own terms.

    AI review

  • Infolarge download and disk use

    The release files themselves are big (OllamaSetup.exe is 1598 MB, ollama-windows-amd64.zip 1528 MB) and each model you add afterwards is typically several GB more.

    AI review

Evidence is shown in its original language.

What Radar could not check

  • How fast models run on your specific computer
  • Real disk use after downloading models, which are often several GB each
  • What the optional cloud models cost and what data they send
  • Whether the installer leaves a background service running and listening after you close the app

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