Cursor: Self-hosted machines

Cursor: Self-hosted machines was released on .

Summary

Cursor now lets you run AI agents entirely within your own infrastructure, keeping your code and secrets completely private while supporting dynamic scaling that grows with demand. You can also connect self-hosted machines for computer use on Linux and Mac, letting agents inte...

Release Context

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Release Notes

Self-hosted machines

Cursor supports self-hosted machines, which let you keep tool execution entirely in your own network.

Your codebase, build outputs, and secrets all stay on internal machines running in your infrastructure, while the agent handles tool calls locally.

Dynamic pool scheduling

My Machines connects a single laptop or VM to your account for personal workflows.

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.

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.

Run on your sandboxes

Cloud agents can now execute on infrastructure you already use, including from AWS Lambda, Coder, Cloudflare, Daytona, Modal, Namespace, Vercel, and E2B.

Computer use on Linux and Mac

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.

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