Cursor 发布自托管机器功能，支持 AWS Lambda 等基础设施
Self-hosted machines
企业级 AI 开发者若需满足数据合规要求，必须关注此能力跃迁。建议评估自身云环境兼容性，并尽快测试 Lambda 或 Coder 等集成方案以验证部署可行性。
Cursor supports self-hosted machines, which let you keep tool execution entirely in your own network.
Cursor 支持**自托管机器**，允许你将工具执行完全保留在自己的网络中。
Your codebase, build outputs, and secrets all stay on internal machines running in your infrastructure, while the agent handles tool calls locally.
你的代码库、构建输出和密钥都保留在运行于你基础设施的内部机器上，而代理则在本地处理工具调用。
<figure><img src="https://ptht05hbb1ssoooe.public.blob.vercel-storage.com/assets/uploads/remote-machines-QjJ0ZzGDelSdT7v2CXDdh0BQHqjmH0.png" loading="lazy" alt="Run on menu showing Remote Machines with self-hosted options lambda-test, cloud-demo, and jacks-desktop" /><figcaption>Run on menu showing Remote Machines with self-hosted options lambda-test, cloud-demo, and jacks-desktop</figcaption></figure>
<figure><img src="https://ptht05hbb1ssoooe.public.blob.vercel-storage.com/assets/uploads/remote-machines-QjJ0ZzGDelSdT7v2CXDdh0BQHqjmH0.png" loading="lazy" alt="Run on menu showing Remote Machines with self-hosted options lambda-test, cloud-demo, and jacks-desktop" /><figcaption>显示远程机器的运行菜单，包含自托管选项 lambda-test、cloud-demo 和 jacks-desktop</figcaption></figure>
Dynamic pool scheduling
动态池调度
My Machines connects a single laptop or VM to your account for personal workflows.
**我的机器**将单台笔记本电脑或虚拟机连接到你的账户，用于个人工作流。
Team pools are named queues of workers for a team or enterprise. Capacity can grow as requests arrive and shrink when workers disconnect, so your self-hosted machines can scale with demand. Pools are not tied to one repository: name the pool, and any available worker can claim the request.
**团队池**是为团队或企业命名的工作者队列。容量可以随着请求的到来而增长，并在工作者断开连接时缩减，因此你的自托管机器可以根据需求进行扩展。池不与单个存储库绑定：命名该池，任何可用的工作者都可以认领该请求。
Pools can also hibernate idle machines, then restore within a reconnect window when a follow-up arrives, so you don't keep expensive capacity warm just for the next prompt.
池还可以让空闲机器进入休眠状态，然后在后续请求到达的重连窗口内恢复，这样你就不必仅仅为了下一个提示词而保持昂贵的容量处于活跃状态。
<figure><img src="https://ptht05hbb1ssoooe.public.blob.vercel-storage.com/assets/uploads/pools-mNNea8rJyNxaBuz7rSVT2SJOKkRsmv.png" loading="lazy" alt="Cloud Agents dashboard listing Self-hosted Machines pools with active and idle worker counts" /><figcaption>Cloud Agents dashboard listing Self-hosted Machines pools with active and idle worker counts</figcaption></figure>
<figure><img src="https://ptht05hbb1ssoooe.public.blob.vercel-storage.com/assets/uploads/pools-mNNea8rJyNxaBuz7rSVT2SJOKkRsmv.png" loading="lazy" alt="Cloud Agents dashboard listing Self-hosted Machines pools with active and idle worker counts" /><figcaption>列出具有活跃和空闲工作者计数的自托管机器池的 Cloud Agents 仪表板</figcaption></figure>
Run on your sandboxes
在你的沙箱中运行
Cloud agents can now execute on infrastructure you already use, including from AWS Lambda, Coder, Cloudflare, Daytona, Modal, Namespace, Vercel, and E2B.
云代理现在可以在你已经使用的基础设施上执行，包括来自 AWS Lambda、Coder、Cloudflare、Daytona、Modal、Namespace、Vercel 和 E2B 的基础设施。
Computer use on Linux and Mac
Linux 和 Mac 上的计算机使用
Self-hosted workers now support computer use on Linux and Mac. With the right desktop packages, an agent can click, type, take screenshots, and drive the browser. You can watch its desktop or take control from Cursor.
自托管工作者现在支持 Linux 和 Mac 上的计算机使用。通过适当的桌面软件包，代理可以点击、输入、截图并驱动浏览器。你可以观看其桌面或从 Cursor 接管控制权。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力