📦 chaitin/MonkeyCode：面向团队的 AI 编码平台

在线试用 · 自托管部署 · Discord · 中文

MonkeyCode 是一个开源企业级 AI 开发平台，内置开发环境管理、AI 模型管理、AI 任务管理以及项目需求管理。与常见的 vibe coding 工具不同，MonkeyCode 被设计为面向专业工程团队的 AI 助手。

• 你可以将 MonkeyCode 部署在企业内网中并与研发团队共享，开发者可快速启动开发任务，工程负责人可集中管理 AI 开发工作流。
• 你也可以直接使用我们的在线环境。它包含托管开发环境、内置大语言模型以及原生移动端支持，让你随时随地使用领先的 AI Agent。

AI 任务工作区	云端终端与任务执行
项目协作与文件管理	移动端任务与文件管理

你无需组装工具、配置环境或在多个工作流之间跳转。只需向 MonkeyCode 提出需求，它就能完成从开发到验证的全流程，将 AI 编码转变为可持续的工作流。

• 自由起步：无需下载客户端，无需本地环境配置。打开浏览器，创建账户，数秒内即可启动你的第一个 AI 开发任务。
• 云端开发环境：不依赖本地开发机。每个任务在真实的服务器端环境中运行，构建、测试和预览工作流均在云端完成。
• 广泛模型支持：集成 GLM、Kimi、MiniMax、Qwen、DeepSeek 等主流模型。你可以按任务类型切换或手动选择模型。
• 原生移动端支持：深度支持 iOS 与 Android，PC 与移动端数据同步，即使你离开工位，Agent 也能持续运行任务。
• 完全开源：核心代码在 GitHub 公开。任何人都可以审计、复刻并扩展，同时保持对技术选型和安全策略的控制。
• 私有离线部署：对数据隐私有严格要求的企业与团队，可将 MonkeyCode 部署在自有网络内并保持数据本地化。

在线打开 MonkeyCode 开始使用：

https://monkeycode-ai.net/

推荐配置：

• MonkeyCode 控制台：至少 2C / 4 GB / 40 GB
• 开发环境主机：至少 8C / 16 GB / 100 GB

在线安装：

bash -c "$(curl -fsSL 'https://monkeycode-ai.com/online/install')"

更多部署方式、配置详情和运维指导，请参阅部署文档。

加入社区，与其他开发者讨论 MonkeyCode 的使用、部署和开发。

微信群	飞书群	钉钉群

你还可以通过以下方式获得支持：

MonkeyCode 遵循 GNU Affero General Public License v3.0 开源许可。

Try Online · Self-Hosted Deployment · Discord · 中文

MonkeyCode is an open-source enterprise-grade AI development platform with built-in development environment management, AI model management, AI task management, and project requirement management. Unlike typical vibe coding tools, MonkeyCode is designed as an AI assistant for professional engineering teams.

• You can deploy MonkeyCode inside your enterprise network and share it with your R&D team, so developers can start development tasks quickly while engineering leaders manage AI development workflows centrally.
• You can also use our online environment directly. It includes managed development environments, built-in large language models, and native mobile support, so you can use leading AI agents anywhere.

AI Task Workspace |
Cloud Terminal and Task Execution
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Project Collaboration and File Management |
Mobile Task and File Management

You do not need to assemble tools, set up environments, or jump between workflows. Give MonkeyCode a requirement and it carries the work from development to validation, turning AI coding into a sustainable workflow.

• Free to start : No client download and no local environment setup. Open the browser, create an account, and start your first AI development task in seconds.
• Cloud development environments : No dependency on a local development machine. Every task runs behind a real server-side environment, with build, test, and preview workflows completed in the cloud.
• Broad model support : GLM, Kimi, MiniMax, Qwen, DeepSeek, and other mainstream models are integrated. You can switch by task type or select a model manually.
• Native mobile support : Deep iOS and Android support keeps PC and mobile data in sync, so agents can continue running tasks while you are away from your desk.
• Fully open source : The core code is public on GitHub. Anyone can audit, fork, and extend it while keeping control over technical choices and security policies.
• Private offline deployment : Enterprises and teams with strict data privacy requirements can deploy MonkeyCode inside their own networks and keep data local.

Open MonkeyCode Online to get started:

https://monkeycode-ai.net/

Recommended configuration:

• MonkeyCode console: at least 2C / 4 GB / 40 GB
• Development environment host: at least 8C / 16 GB / 100 GB

Online installation:

bash -c "$(curl -fsSL 'https://monkeycode-ai.com/online/install')"

For more deployment methods, configuration details, and operations guidance, see the deployment documentation.

Join the community to discuss MonkeyCode usage, deployment, and development with other developers.

WeChat Group |
Feishu Group |
DingTalk Group
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You can also get support through:

MonkeyCode is open source under the GNU Affero General Public License v3.0.