---
title: "ollama"
type: "tool"
slug: "ollama-ollama"
canonical_url: "https://www.graphcanon.com/tools/ollama-ollama"
github_url: "https://github.com/ollama/ollama"
homepage_url: "https://ollama.com"
stars: 175659
forks: 16870
primary_language: "Go"
license: "MIT"
categories: ["llm-frameworks", "ai-agents"]
tags: ["go", "llama", "gemma", "gemma3", "deepseek", "gpt-oss", "glm", "golang"]
updated_at: "2026-07-07T18:55:57.102874+00:00"
---

# ollama

> Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.

## Facts

- Repository: https://github.com/ollama/ollama
- Homepage: https://ollama.com
- Stars: 175,659 · Forks: 16,870 · Open issues: 3,383 · Watchers: 987
- Primary language: Go
- License: MIT
- Last pushed: 2026-07-07T01:11:57+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [AI Agents](/categories/ai-agents.md)

## Tags

go, llama, gemma, gemma3, deepseek, gpt-oss, glm, golang

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- [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,074)
- [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,150)

## README (excerpt)

```text
<p align="center">
  <a href="https://ollama.com">
    <img src="https://github.com/ollama/ollama/assets/3325447/0d0b44e2-8f4a-4e99-9b52-a5c1c741c8f7" alt="ollama" width="200"/>
  </a>
</p>

# Ollama

Start building with open models.

## Download

### macOS

```shell
curl -fsSL https://ollama.com/install.sh | sh
```

or [download manually](https://ollama.com/download/Ollama.dmg)

### Windows

```shell
irm https://ollama.com/install.ps1 | iex
```

or [download manually](https://ollama.com/download/OllamaSetup.exe)

### Linux

```shell
curl -fsSL https://ollama.com/install.sh | sh
```

[Manual install instructions](https://docs.ollama.com/linux#manual-install)

### Docker

The official [Ollama Docker image](https://hub.docker.com/r/ollama/ollama) `ollama/ollama` is available on Docker Hub.

### Libraries

- [ollama-python](https://github.com/ollama/ollama-python)
- [ollama-js](https://github.com/ollama/ollama-js)

### Community

- [Discord](https://discord.gg/ollama)
- [𝕏 (Twitter)](https://x.com/ollama)
- [Reddit](https://reddit.com/r/ollama)

## Get started

```
ollama
```

You'll be prompted to run a model or connect Ollama to your existing agents or applications such as `Claude Code`, `OpenClaw`, `OpenCode` , `Codex`, `Copilot`,  and more.

### Coding

To launch a specific integration:

```
ollama launch claude
```

Supported integrations include [Claude Code](https://docs.ollama.com/integrations/claude-code), [Codex](https://docs.ollama.com/integrations/codex), [Copilot CLI](https://docs.ollama.com/integrations/copilot-cli), [Droid](https://docs.ollama.com/integrations/droid), and [OpenCode](https://docs.ollama.com/integrations/opencode).

### AI assistant

Use [OpenClaw](https://docs.ollama.com/integrations/openclaw) to turn Ollama into a personal AI assistant across WhatsApp, Telegram, Slack, Discord, and more:

```
ollama launch openclaw
```

### Chat with a model

Run and chat with [Gemma 4](https://ollama.com/library/gemma4):

```
ollama run gemma4
```

See [ollama.com/library](https://ollama.com/library) for the full list.

See the [quickstart guide](https://docs.ollama.com/quickstart) for more details.

## REST API

Ollama has a REST API for running and managing models.

```
curl http://localhost:11434/api/chat -d '{
  "model": "gemma4",
  "messages": [{
    "role": "user",
    "content": "Why is the sky blue?"
  }],
  "stream": false
}'
```

See the [API documentation](https://docs.ollama.com/api) for all endpoints.

### Python

```
pip install ollama
```

```python
from ollama import chat

response = chat(model='gemma4', messages=[
  {
    'role': 'user',
    'content': 'Why is the sky blue?',
  },
])
print(response.message.content)
```

### JavaScript

```
npm i ollama
```

```javascript
import ollama from "ollama";

const response = await ollama.chat({
  model: "gemma4",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});
console.log(response.message.content);
```

## Supported backends

- [llama.cpp](https://github.com/ggml-org/llama.cpp) project founded by Georgi Gerganov.

## Documentation

- [CLI reference](https://docs.ollama.com/cli)
- [REST API reference](https://docs.ollama.com/api)
- [Importing models](https://docs.ollama.com/import)
- [Modelfile reference](https://docs.ollama.com/modelfile)
- [Building from source](https://github.com/ollama/ollama/blob/main/docs/development.md)

## Community Integrations

> Want to add your project? Open a pull request.

### Chat Interfaces

#### Web

- [Open WebUI](https://github.com/open-webui/open-webui) - Extensible, self-hosted AI interface
- [Onyx](https://github.com/onyx-dot-app/onyx) - Connected AI workspace
- [LibreChat](https://github.com/danny-avila/LibreChat) - Enhanced ChatGPT clone with multi-provider support
- [Lobe Chat](https://github.com/lobehub/lobe-chat) - Modern chat framework with plugin ecosystem ([docs](https://lobehub.com/docs/self-hosting/examples/ollama))
- [NextChat](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) - Cros
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/ollama-ollama`](/api/graphcanon/tools/ollama-ollama)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_