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chore: import upstream snapshot with attribution
2026-07-13 13:03:19 +08:00

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Cloud Windows Sandboxes GA + macOS Preview

If you've been building with our cua libraries, you might've hit a limitation with local computer-use sandboxes: to run agents on Windows or macOS, you need to be on that OS - Windows Sandbox for Windows, Apple Virtualization for macOS. The only cross-platform option is Linux on Docker, which limits you to virtualizing Linux environments (see all local options here).

Today the story changes - we're announcing general availability of Cloud Windows Sandboxes and opening early preview access for Cloud macOS Sandboxes.

Cloud Windows Sandboxes: Now GA

Cloud Windows Sandboxes

Cloud Windows Sandboxes are now generally available. You get a full Windows 11 desktop in your browser with Edge and Python pre-installed, working seamlessly with all our Computer-Use libraries for RPA, UI automation, code execution, and agent development.

What's new with this release:

  • Hot-start under 1 second
  • Direct noVNC over HTTPS under our sandbox.cua.ai domain
  • 3 sandbox sizes available:
Size CPU RAM Storage
Small 2 cores 8 GB 128 GB SSD
Medium 4 cores 16 GB 128 GB SSD
Large 8 cores 32 GB 256 GB SSD

Pricing: Windows Sandboxes start at 8 credits/hour (Small), 15 credits/hour (Medium), or 31 credits/hour (Large).

Cloud macOS Sandboxes: Now in Preview

Running macOS locally comes with challenges: 30GB golden images, a maximum of 2 sandboxes per host, and unpredictable compatibility issues. With Cloud macOS Sandboxes, we provision bare-metal macOS hosts (M1, M2, M4) on-demand—giving you full desktop access without the overhead of managing local sandboxes.

macOS Preview Waitlist

Preview access: Invite-only. Join the waitlist if you're building agents for macOS workflows.

Getting Started Today

Sign up at cua.ai/signin and grab your API key from the dashboard. Then connect to a sandbox:

from computer import Computer

computer = Computer(
    os_type="windows",      # or "macos"
    provider_type="cloud",
    name="my-sandbox",
    api_key="your-api-key"
)

await computer.run()

Manage existing sandboxes:

from computer.providers.cloud.provider import CloudProvider

provider = CloudProvider(api_key="your-api-key")
async with provider:
    sandboxes = await provider.list_vms()
    await provider.run_vm("my-sandbox")
    await provider.stop_vm("my-sandbox")

Run an agent on Windows to automate a workflow:

from cua_agent import ComputerAgent

agent = ComputerAgent(
    model="anthropic/claude-sonnet-4-5-20250929",
    tools=[computer],
    max_trajectory_budget=5.0
)

response = await agent.run(
    "Open Excel, create a sales report with this month's data, and save it to the desktop"
)

FAQs

Why not just use local Windows Sandbox?

Local Windows Sandbox resets on every restart. No persistence, no hot-start, and you need Windows Pro. Our sandboxes persist state, hot-start in under a second, and work from any OS.

What happens to my work when I stop a sandbox?

Everything persists. Files, installed software, browser profiles—it's all there when you restart. Only pay for runtime, not storage.

How's the latency for UI automation?

We run in 4 regions so you can pick what's closest. The noVNC connection is optimized for automation, not video streaming. Your agent sees crisp screenshots, not compressed video.

Are there software restrictions?

No. Full admin access on both platforms. Install whatever you need—Visual Studio, Photoshop, custom enterprise software. It's your sandbox.

Need help?

If you hit issues getting either platform working, reach out in Discord. We respond fast and fix based on what people actually use.


Get started at cua.ai or join the macOS waitlist.