Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. https://ollama.com
Find a file
Jesse Gross 6a0ee48080 cmd: launch the MLX runner without the engine dispatcher
The runner package used to pick an engine from the first argument of the
runner subcommand. Only the MLX engine is left, so the dispatcher has a
single arm, its README still describes the removed Go runner's flags and
endpoints, and the standalone cmd/runner binary exists only to invoke it.

We call mlxrunner.Execute directly from the hidden runner subcommand and
drop the --mlx-engine argument from the command line the MLX client
spawns. Both sides ship in the same binary, so nothing has to accept both
forms. The runner package and cmd/runner are removed.

The subcommand's help hook hands the runner a bare --help. cobra calls the
hook with no arguments for `ollama help runner`, which used to index past
the end of the slice.
2026-09-16 14:06:08 -07:00
.github MLX, MLX-C: version bump (#18449) 2026-09-14 20:53:05 -07:00
anthropic Report cached prompt tokens (#17943) 2026-09-02 09:30:44 -07:00
api API: Deprecate typical_p (#18448) 2026-09-14 21:24:26 -07:00
app app: refresh Apps layout and command copy feedback (#18372) 2026-09-14 08:54:46 -07:00
auth
cmake create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
cmd cmd: launch the MLX runner without the engine dispatcher 2026-09-16 14:06:08 -07:00
discover Clean up dead code (#17381) 2026-08-27 14:33:51 -07:00
docs docs: refresh getting started guides (#18450) 2026-09-14 23:32:30 -07:00
envconfig create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
format
fs create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
harmony fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
integration create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
internal create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
llama llama.cpp: version bump b10969 (#18446) 2026-09-15 13:13:31 -07:00
llm create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
logutil runner: Remove CGO engines, use llama-server exclusively for GGML models (#16031) 2026-05-29 13:35:47 -07:00
manifest server: extract GGUF metadata and unify capabilities (#17858) 2026-09-10 11:16:37 -07:00
middleware openai: finalize responses at the web search limit (#18328) 2026-09-08 16:27:20 -07:00
ml lint fix (#18081) 2026-08-27 17:01:54 -07:00
mlx/compat MLX: version bump (#18235) 2026-09-14 09:49:46 -07:00
model fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
openai openai: support standalone named function outputs (#18348) 2026-09-09 14:51:50 -07:00
parser create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
progress fix data races in progress and sched (#18319) 2026-09-08 13:13:59 -07:00
readline lint fixes (#17897) 2026-08-20 10:23:25 -07:00
scripts build: go deps (#18161) 2026-09-01 12:59:48 -07:00
server API: Deprecate typical_p (#18448) 2026-09-14 21:24:26 -07:00
template create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
thinking create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
tokenizer create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
tools tools: ignore braces inside JSON strings when detecting tool call end (#16937) 2026-06-27 12:00:55 -07:00
types API: Deprecate typical_p (#18448) 2026-09-14 21:24:26 -07:00
version add version 2023-08-22 09:40:58 -07:00
x cmd: launch the MLX runner without the engine dispatcher 2026-09-16 14:06:08 -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 create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
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 mlx: fix mac assumptions on linux/windows (#17898) 2026-08-20 09:50:10 -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 mlx: add mlx patch to docker build context (#18440) 2026-09-14 13:34:03 -07:00
go.mod create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
go.sum create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
LICENSE
LLAMA_CPP_VERSION llama.cpp: version bump b10969 (#18446) 2026-09-15 13:13:31 -07:00
main.go
MLX_C_VERSION MLX, MLX-C: version bump (#18449) 2026-09-14 20:53:05 -07:00
MLX_VERSION MLX, MLX-C: version bump (#18449) 2026-09-14 20:53:05 -07:00
README.md launch: add DeepSeek Harness integration (#17733) 2026-08-13 15:19:02 -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, DeepSeek Harness, 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