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ollama

ollama/ollama

使用 Kimi、GLM、MiniMax、DeepSeek、gpt-oss、Qwen、Gemma 及其他模型快速上手。

GitHub 仓库 项目主页 GitHub直连下载
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主要语言
MIT
开源协议
92.2 MB
仓库大小
12 小时前
最后推送
一键安装扩展 / 插件指令
dsh plugin --profile web add github:ollama/ollama
git clone https://github.com/ollama/ollama.git
git clone git@github.com:ollama/ollama.git
README.md main
在 GitHub 上查看

英文原文正文为项目原始 README（英文），本站后续会翻译为中文，当前仅剔除图片与无关章节并统一排版。

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

本站来源与版权声明
  • 本文标题：ollama - 使用 Kimi
  • 本文链接：https://cn121.com/llm/ollama-ollama.html
  • 原项目：ollama/ollama　版权归原作者 ollama 及贡献者所有
  • 收录信息：本站于 2026-09-18 收录本项目，本页所列协议与仓库指标均为收录当时的状态；该日期之后原项目的版本更新与协议变更，本页不作同步。
  • 开源协议：收录时本项目采用 MIT（查看 LICENSE 原文），本站转载其原始文档（未改动文字，仅剔除图片与无关章节）；使用、修改、分发请以该仓库 LICENSE 原文为准。
  • 站点出处：本文首发于 OneTwoOne，收录自 GitHub 开源项目 ollama/ollama。
  • 内容说明：本页正文为原项目 README 原文（英文），本站后续会翻译为中文（当前尚未译出），仅剔除了图片与赞助等无关章节、并把相对链接改为绝对地址；页首简介为机器翻译自仓库描述。
  • 引用声明：商业转载、第三方聚合或 AI 检索训练引用时，请务必保留以上来源出处、本文永久链接，以及原项目的版权声明与许可信息。
  • 下架通道：若原项目此后变更或收紧了许可协议、或作者／权利人认为本站的收录方式（译文、排版适配、简介翻译等）超出其授权范围，请通过 399595820@qq.com 发送下架通知，并附上项目地址与本页链接。本站核实后将第一时间删除本页内容，或改为不复制原文的目录性收录；署名更正等其他要求可一并提出。
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