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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Jesse Gross f09d55d0e2 mlxrunner: wait for a killed runner to exit before the scheduler loads the next model
The scheduler starts the next load as soon as Close returns. The MLX client
sent SIGINT, gave the process five seconds, then sent SIGKILL and returned
without waiting, so a runner that could not take the signal was still
exiting, with its memory still held, when the next load began. The runner
has no signal handler, so SIGINT was already a kill.

Load also started the process and recorded it without the client's mutex,
so a Close racing with a load at server shutdown could find nothing to stop
and leave the runner it missed running.

Close now kills the process and waits for it to be reaped, as the
llama-server client does. Load starts and records the process under the
mutex and refuses to start once Close has run.
2026-09-10 15:20:21 -07:00
.github ci: bound and cache the macOS MLX payload build (#18240) 2026-09-04 14:38:05 -07:00
agent agent: allow multiple edits per edit tool call (#17711) 2026-08-12 16:45:53 -07:00
anthropic Report cached prompt tokens (#17943) 2026-09-02 09:30:44 -07:00
api app: add Ollama to ChatGPT Desktop (#18236) 2026-09-04 14:04:48 -07:00
app app: fix ChatGPT model selector spacing (#18347) 2026-09-09 15:02:42 -07:00
auth
cmake MLX, MLX-C: version bump (#18080) 2026-09-01 16:24:04 -07:00
cmd app: open Codex by default for Ollama launches (#18323) 2026-09-08 13:40:20 -07:00
convert lint fixes (#17897) 2026-08-20 10:23:25 -07:00
discover Clean up dead code (#17381) 2026-08-27 14:33:51 -07:00
docs Report cached prompt tokens (#17943) 2026-09-02 09:30:44 -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 server: extract GGUF metadata and unify capabilities (#17858) 2026-09-10 11:16:37 -07:00
harmony fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
integration fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
internal proxy: normalize namespaced commands in Full Access (#18331) 2026-09-09 10:20:48 -07:00
llama llama.cpp: version bump b10729 (#18160) 2026-09-01 16:24:15 -07:00
llm Report cached prompt tokens (#17943) 2026-09-02 09:30:44 -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
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 model: add Laguna v8 chat support and fix Metal inference (#17291) 2026-07-21 16:06:29 -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
runner fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
scripts build: go deps (#18161) 2026-09-01 12:59:48 -07:00
server server: extract GGUF metadata and unify capabilities (#17858) 2026-09-10 11:16:37 -07:00
template lint fixes (#17897) 2026-08-20 10:23:25 -07:00
thinking fix(docs): correct typos found during code review (#17579) 2026-08-31 08:59:55 -07:00
tokenizer
tools tools: ignore braces inside JSON strings when detecting tool call end (#16937) 2026-06-27 12:00:55 -07:00
types Honor model generation defaults (#16471) 2026-09-01 14:52:07 -07:00
version add version 2023-08-22 09:40:58 -07:00
x mlxrunner: wait for a killed runner to exit before the scheduler loads the next model 2026-09-10 15:20:21 -07:00
.dockerignore
.gitattributes
.gitignore
.golangci.yaml
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, MLX-C: version bump (#18080) 2026-09-01 16:24:04 -07:00
go.mod build: go deps (#18161) 2026-09-01 12:59:48 -07:00
go.sum build: go deps (#18161) 2026-09-01 12:59:48 -07:00
LICENSE proto -> ollama 2023-06-26 15:57:13 -04:00
LLAMA_CPP_VERSION llama.cpp: version bump b10864 (#18317) 2026-09-10 08:09:59 -07:00
main.go
MLX_C_VERSION MLX, MLX-C: version bump (#18080) 2026-09-01 16:24:04 -07:00
MLX_VERSION MLX, MLX-C: version bump (#18080) 2026-09-01 16:24:04 -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