Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. https://ollama.com
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Daniel Hiltgen 01d04d50f8
launch: add Muse Code integration (#17594)
* launch: add Muse Code integration

Add `ollama launch muse` for Meta's Muse Code CLI.

Muse only takes a model catalog from settings.json (normally it fetches one from its provider and refuses to start otherwise), and that file's endpoint_transport is a global provider switch. So the integration writes a settings file under its own config root (~/.ollama/launch/muse-config via XDG_CONFIG_HOME), leaving a Meta-backed muse install untouched, and re-seeds it from muse's own persisted copy on later runs.

The launched model is preloaded so its catalog row carries the context length the server actually allocated, not the trained maximum; the loaded-context helpers move from cmd/agent_tui.go into cmd/launch for reuse.

Muse sends reasoning efforts outside Ollama's scale (minimal, xhigh, ultra), which were hard 400s; clamp them to the nearest tier in one helper shared by the chat and responses converters.

The registry entry stays Hidden (alias "muse-code"), like kimi and vscode.

* review comments

* skip muse test on windows (unsupported platform)
2026-08-13 13:10:29 -07:00
.github Release v0.32.7 (#17646) 2026-08-10 04:04:56 -07:00
agent agent: allow multiple edits per edit tool call (#17711) 2026-08-12 16:45:53 -07:00
anthropic anthropic: close text block before starting thinking block (#17225) 2026-07-17 10:24:38 -04:00
api openai: support web search in Responses API (#17686) 2026-08-12 11:51:54 -07:00
app app/updater: drain background update-check goroutine before returning (#17446) 2026-07-31 10:42:40 -07:00
auth
cmake mlx: enable CUDA backend in CUDA builds (#17688) 2026-08-12 07:31:00 -07:00
cmd launch: add Muse Code integration (#17594) 2026-08-13 13:10:29 -07:00
convert llama: default qwen2.5vl window attention metadata (#16868) 2026-06-24 10:35:29 -07:00
discover discover: fall back to standard CUDA when the JetPack runner is absent (#16949) 2026-07-02 08:34:35 -07:00
docs openai: support web search in Responses API (#17686) 2026-08-12 11:51:54 -07:00
envconfig runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
format
fs create: harden GGUF create flows (#17062) 2026-07-06 16:20:20 -07:00
harmony runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
integration Release v0.32.7 (#17646) 2026-08-10 04:04:56 -07:00
internal Merge pull request #17483 from ollama/drifkin/suggest-cloud 2026-07-31 14:28:04 -07:00
llama llama.cpp update (#17545) 2026-08-04 09:51:52 -07:00
llm Release v0.32.7 (#17646) 2026-08-10 04:04:56 -07:00
logutil runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
manifest runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
middleware openai: support web search in Responses API (#17686) 2026-08-12 11:51:54 -07:00
ml llama: enable FA on CUDA CC 6.x GPUs (#16994) 2026-07-02 17:11:39 -07:00
model nemotron_h: support the Nemotron 3.5 prompt layout (#17672) 2026-08-11 06:18:51 -07:00
openai launch: add Muse Code integration (#17594) 2026-08-13 13:10:29 -07:00
parser model: add Laguna v8 chat support and fix Metal inference (#17291) 2026-07-21 16:06:29 -07:00
progress progress: fix data races on ticker, states, spinner, and bar state (#17445) 2026-08-04 15:06:15 -07:00
readline runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
runner imagegen: remove MLX image generation code (#16615) 2026-07-28 15:35:28 -07:00
scripts win: support CUDA on Windows ARM64 (#16931) 2026-07-21 10:53:30 -07:00
server mlx: avoid pulling MLX models when MLX is missing (#17710) 2026-08-12 14:42:17 -07:00
template runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
thinking
tokenizer tokenizer: fix multi-regex BPE offset handling (#15844) 2026-04-27 14:14:27 -07:00
tools tools: ignore braces inside JSON strings when detecting tool call end (#16937) 2026-06-27 12:00:55 -07:00
types manifests: remove OCI rootfs from the model config (#17619) 2026-08-08 19:44:57 -07:00
version
x nn: speed up prefill on double-scale nvfp4 models 2026-08-12 13:25:33 -07:00
.dockerignore
.gitattributes .gitattributes: add app/webview to linguist-vendored (#13274) 2025-11-29 23:46:10 -05:00
.gitignore create: Clean up experimental paths, fix create from existing safetensor model (#14679) 2026-04-07 08:12:57 -07:00
.golangci.yaml ci: restore previous linter rules (#13322) 2025-12-03 18:55:02 -08:00
AGENTS.md Add AGENTS.md and CLAUDE.md to root repository (#16604) 2026-06-07 10:57:59 -07:00
CLAUDE.md Add AGENTS.md and CLAUDE.md to root repository (#16604) 2026-06-07 10:57:59 -07:00
CMakeLists.txt runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
CMakePresets.json runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
CONTRIBUTING.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00
Dockerfile imagegen: remove MLX image generation code (#16615) 2026-07-28 15:35:28 -07:00
go.mod agent/tui: stream thinking traces (#17611) 2026-08-07 13:11:45 -07:00
go.sum server: remove OLLAMA_EXPERIMENT=client2 (#16962) 2026-07-06 13:15:39 -07:00
LICENSE
LLAMA_CPP_VERSION llama.cpp bump (#17702) 2026-08-12 12:10:18 -07:00
main.go
MLX_C_VERSION Update MLX and MLX-C with threading fixes (#15845) 2026-05-03 10:03:14 -07:00
MLX_VERSION MLX update (#17704) 2026-08-12 12:09:50 -07:00
README.md docs: update docs examples to use Gemma 4 instead of Gemma 3 (#16607) 2026-06-07 12:43:13 -07:00
SECURITY.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00

ollama

Ollama

Start building with open models.

Download

macOS

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

or download manually

Windows

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

or download manually

Linux

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

Manual install instructions

Docker

The official Ollama Docker image ollama/ollama is available on Docker Hub.

Libraries

Community

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, Codex, Copilot CLI, Droid, and OpenCode.

AI assistant

Use 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:

ollama run gemma4

See ollama.com/library for the full list.

See the quickstart guide 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 for all endpoints.

Python

pip install ollama
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
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 project founded by Georgi Gerganov.

Documentation

Community Integrations

Want to add your project? Open a pull request.

Chat Interfaces

Web

Desktop

  • Dify.AI - LLM app development platform
  • AnythingLLM - All-in-one AI app for Mac, Windows, and Linux
  • Maid - Cross-platform mobile and desktop client
  • Witsy - AI desktop app for Mac, Windows, and Linux
  • Cherry Studio - Multi-provider desktop client
  • Ollama App - Multi-platform client for desktop and mobile
  • PyGPT - AI desktop assistant for Linux, Windows, and Mac
  • Alpaca - GTK4 client for Linux and macOS
  • SwiftChat - Cross-platform including iOS, Android, and Apple Vision Pro
  • Enchanted - Native macOS and iOS client
  • RWKV-Runner - Multi-model desktop runner
  • Ollama Grid Search - Evaluate and compare models
  • macai - macOS client for Ollama and ChatGPT
  • AI Studio - Multi-provider desktop IDE
  • Reins - Parameter tuning and reasoning model support
  • ConfiChat - Privacy-focused with optional encryption
  • LLocal.in - Electron desktop client
  • MindMac - AI chat client for Mac
  • Msty - Multi-model desktop client
  • BoltAI for Mac - AI chat client for Mac
  • IntelliBar - AI-powered assistant for macOS
  • Kerlig AI - AI writing assistant for macOS
  • Hillnote - Markdown-first AI workspace
  • Perfect Memory AI - Productivity AI personalized by screen and meeting history

Mobile

SwiftChat, Enchanted, Maid, Ollama App, Reins, and ConfiChat listed above also support mobile platforms.

Code Editors & Development

Libraries & SDKs

Frameworks & Agents

RAG & Knowledge Bases

  • RAGFlow - RAG engine based on deep document understanding
  • R2R - Open-source RAG engine
  • MaxKB - Ready-to-use RAG chatbot
  • Minima - On-premises or fully local RAG
  • Chipper - AI interface with Haystack RAG
  • ARGO - RAG and deep research on Mac/Windows/Linux
  • Archyve - RAG-enabling document library
  • Casibase - AI knowledge base with RAG and SSO
  • BrainSoup - Native client with RAG and multi-agent automation

Bots & Messaging

Terminal & CLI

Productivity & Apps

Observability & Monitoring

  • Opik - Debug, evaluate, and monitor LLM applications
  • OpenLIT - OpenTelemetry-native monitoring for Ollama and GPUs
  • Lunary - LLM observability with analytics and PII masking
  • Langfuse - Open source LLM observability
  • HoneyHive - AI observability and evaluation for agents
  • MLflow Tracing - Open source LLM observability

Database & Embeddings

Infrastructure & Deployment

Cloud

Package Managers