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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2026-09-21 15:21:05 -04:00
.github ci: harden release artifact uploads (#18516) 2026-09-17 16:28:46 -07:00
anthropic api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
api api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
app app: render Settings before model discovery completes 2026-09-21 15:21:05 -04:00
auth
cmake mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -07:00
cmd api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
create nemotron_h: add MLX vision support (#17714) 2026-09-17 16:29:14 -07:00
discover Clean up dead code (#17381) 2026-08-27 14:33:51 -07:00
docs docs: clarify integrations overview and add assistant icons (#18511) 2026-09-17 14:10:18 -07:00
envconfig create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
format
fs mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -07:00
harmony fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
integration mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -07:00
internal api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
llama mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -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 mlxrunner: read model manifests through the manifest package 2026-09-16 14:06:08 -07:00
middleware api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
ml tokenizer, ml: remove dead code 2026-09-16 14:06:08 -07:00
mlx mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -07:00
mlxrunner nemotron_h: add MLX vision support (#17714) 2026-09-17 16:29:14 -07:00
model api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
openai api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
parser create: add server-side MLX imports and drop GGUF conversion (#14969) 2026-09-14 20:32:36 -07:00
progress tokenizer, ml: remove dead code 2026-09-16 14:06:08 -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 server: allow registry cross-host redirects among allowlisted hosts (#18533) 2026-09-18 17:15:35 -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
tools tools: ignore braces inside JSON strings when detecting tool call end (#16937) 2026-06-27 12:00:55 -07:00
types api: expose model thinking levels and defaults (#18473) 2026-09-18 14:10:53 -07:00
version
x/transfer x/transfer, server: tighten redirect handling for registry requests (#18512) 2026-09-17 14:21:28 -07:00
.dockerignore
.gitattributes tokenizer, ml: remove dead code 2026-09-16 14:06:08 -07:00
.gitignore create: Clean up experimental paths, fix create from existing safetensor model (#14679) 2026-04-07 08:12:57 -07:00
.golangci.yaml mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -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
Dockerfile mlx, mlxrunner: move the MLX engine out of x/ 2026-09-16 14:06:08 -07:00
go.mod tokenizer, ml: remove dead code 2026-09-16 14:06:08 -07:00
go.sum tokenizer, ml: remove dead code 2026-09-16 14:06:08 -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

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