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2026-03-04 13:42:18 -08:00
.github win: add curl-style install script (#14178) 2026-02-09 15:28:11 -08:00
anthropic anthropic: enable websearch (#14246) 2026-02-13 19:20:46 -08:00
api mlx: Remove peak memory from the API 2026-03-02 15:56:18 -08:00
app fix: window app crash on startup when update is pending (#14451) 2026-02-26 16:47:12 -05:00
auth auth: fix problems with the ollama keypairs (#12373) 2025-09-22 23:20:20 -07:00
cmd Revert "Reapply "don't require pulling stubs for cloud models"" (#14606) 2026-03-03 20:56:10 -08:00
convert model: support for qwen3.5 architecture (#14378) 2026-02-24 20:08:05 -08:00
discover CUDA: filter devices on secondary discovery (#13317) 2025-12-03 12:58:16 -08:00
docs runner: add token history sampling parameters to ollama runner (#14537) 2026-03-01 19:16:07 -08:00
envconfig add ability to disable cloud (#14221) 2026-02-12 15:47:00 -08:00
format chore(all): replace instances of interface with any (#10067) 2025-04-02 09:44:27 -07:00
fs model: support for qwen3.5 architecture (#14378) 2026-02-24 20:08:05 -08:00
harmony Parser for Cogito v2 (#13145) 2025-11-19 17:21:07 -08:00
integration ollamarunner: Fix off by one error with numPredict 2026-02-04 17:14:24 -08:00
internal Revert "Reapply "don't require pulling stubs for cloud models"" (#14606) 2026-03-03 20:56:10 -08:00
kvcache model: support for qwen3.5 architecture (#14378) 2026-02-24 20:08:05 -08:00
llama models: add nemotronh architecture support (#14356) 2026-02-22 15:09:14 -08:00
llm mlx: Remove peak memory from the API 2026-03-02 15:56:18 -08:00
logutil logutil: fix source field (#12279) 2025-09-16 16:18:07 -07:00
manifest Clean up the manifest and modelpath (#13807) 2026-01-21 11:46:17 -08:00
middleware Revert "Reapply "don't require pulling stubs for cloud models"" (#14606) 2026-03-03 20:56:10 -08:00
ml model: add support for qwen3.5-27b model (#14415) 2026-02-25 01:09:58 -08:00
model model: fix renderer and parser for qwen3.5 (#14605) 2026-03-03 20:58:29 -08:00
openai x/imagegen: add image edit capabilities (#13846) 2026-01-22 20:35:08 -08:00
parser Add experimental MLX backend and engine with imagegen support (#13648) 2026-01-08 16:18:59 -08:00
progress Add z-image image generation prototype (#13659) 2026-01-09 21:09:46 -08:00
readline feature: add ctrl-g to allow users to use an editor to edit their prompt (#14197) 2026-02-11 13:04:41 -08:00
runner runner: add token history sampling parameters to ollama runner (#14537) 2026-03-01 19:16:07 -08:00
sample runner: add token history sampling parameters to ollama runner (#14537) 2026-03-01 19:16:07 -08:00
scripts install: prevent partial download script execution (#14311) 2026-02-18 18:32:45 -08:00
server server: loosen thinking level constraint (#14625) 2026-03-04 13:42:18 -08:00
template template: fix args-as-json rendering (#13636) 2026-01-06 18:33:57 -08:00
thinking thinking: fix double emit when no opening tag 2025-08-21 21:03:12 -07:00
tokenizer move tokenizers to separate package (#13825) 2026-02-05 17:44:11 -08:00
tools preserve tool definition and call JSON ordering (#13525) 2026-01-05 18:03:36 -08:00
types Update vendor ggml code to a5bb8ba4 (#13832) 2026-02-02 17:31:59 -08:00
version add version 2023-08-22 09:40:58 -07:00
x Revert "Reapply "don't require pulling stubs for cloud models"" (#14606) 2026-03-03 20:56:10 -08:00
.dockerignore next build (#8539) 2025-01-29 15:03:38 -08:00
.gitattributes .gitattributes: add app/webview to linguist-vendored (#13274) 2025-11-29 23:46:10 -05:00
.gitignore harmony: remove special casing in routes.go 2025-09-18 14:55:59 -07:00
.golangci.yaml ci: restore previous linter rules (#13322) 2025-12-03 18:55:02 -08:00
CMakeLists.txt Revert "move tokenizers to separate package (#13825)" (#14111) 2026-02-05 20:49:08 -08:00
CMakePresets.json Revert "Update vendored llama.cpp to b7847" (#14061) 2026-02-03 18:39:36 -08:00
CONTRIBUTING.md docs: fix typos in repository documentation (#10683) 2025-11-15 20:22:29 -08:00
Dockerfile update mlx-c bindings to 0.5.0 (#14380) 2026-02-23 16:44:29 -08:00
go.mod cmd: set codex env vars on launch and handle zstd request bodies (#14122) 2026-02-18 17:19:36 -08:00
go.sum cmd: set codex env vars on launch and handle zstd request bodies (#14122) 2026-02-18 17:19:36 -08:00
LICENSE proto -> ollama 2023-06-26 15:57:13 -04:00
main.go lint 2024-08-01 17:06:06 -07:00
Makefile.sync Revert "Update vendored llama.cpp to b7847" (#14061) 2026-02-03 18:39:36 -08:00
MLX_VERSION update mlx-c bindings to 0.5.0 (#14380) 2026-02-23 16:44:29 -08:00
README.md readme: update download link for macOS (#1) (#14271) 2026-02-15 15:25:15 -08:00
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, codex, openclaw and more.

Coding

To launch a specific integration:

ollama launch claude

Supported integrations include Claude Code, Codex, 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 3:

ollama run gemma3

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": "gemma3",
  "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='gemma3', 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: "gemma3",
  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