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ollama

Agent-readyLocal AIAI

Local models, ai prototyping, and private inference from the terminal.

Local models, ai prototyping, and private inference from the terminal. Built by Ollama. Start with `ollama pull llama3.2` and go from there. Runs entirely on your machine.

Task fit

local models, ai prototyping, and private inference from the terminal.

Lane

Set up coding agents, local models, and AI-first terminal workflows.

Operator brief

Use ollama for local models, ai prototyping, and private inference from the terminal.

Run `ollama run llama3.2` to see it in action.

Repository family

Ollama

First trust check

Ollama responds locally and is ready for models.

Safe first loop

Install, verify, then run one real command.

Agent capability loop

Install command

$ brew install ollama

Operator pack

Copy or export the working notes for this CLI before handing it to an agent.

Verify

$ ollama --version

Ollama responds locally and is ready for models.

First real command

$ ollama run llama3.2

First steps

  1. 01Install ollama.
  2. 02Run `ollama --version` first.
  3. 03Start with `ollama run llama3.2`.
  4. 04Install the CLI and any required runtime, model, or Python environment.

When to use / hold off when

Best for

local models, ai prototyping, and private inference from the terminal.

Use this when

You want AI models and inference that runs entirely on your machine.

Hold off when

You don't work with AI models and inference.

Trust and constraints

trusted95/100
Install readyTrusted
JSON outputNo
Non-interactiveYes
CI-friendlyNo

Why operators pick it

  • ollama fits local ai well, especially for local models, ai prototyping, and private inference from the terminal.
  • 67,620 homebrew installs (30d).
  • Easy to automate.

Constraints

  • Output is mostly plain text.
  • Better for local use than CI.

Repository context

Other CLIs in this family

This is the only CLI surfaced from this family right now.

Facts and links

Install withbrew
Homebrew installs (30d)67.6K
GitHub stars166.1K
LicenseMIT
UpdatedMar 25, 2026