What happens when you give an AI agent its own disposable computer? That's the premise behind Cyqle, a new tool offering shared cloud Linux desktops that run in a browser tab.
The core concept is Google Docs-style collaboration, but for an entire Linux machine. Every participant gets their own cursor and keyboard. You can invite teammates into a persistent desktop environment and work together in real time - pair programming, debugging, or running tests on the same system without screen-sharing lag or permission headaches.
But the feature that stands out is AI agent sandboxing. You spin up a disposable desktop, hand credentials to an AI agent, let it browse, execute code, install packages, and do whatever it needs to do. When it's done, you close the environment. The filesystem is encrypted with session-unique keys, so nothing persists beyond what you explicitly save. Zero risk to your local machine, zero leftover artifacts from an agent that went sideways.
This solves a real problem. Anyone running AI coding agents like Claude Code or Codex knows the tension between giving agents enough access to be useful and protecting your actual system from mistakes (or worse, from malicious third-party skills). A sandboxed cloud desktop is a clean middle ground - the agent gets full autonomy within a walled-off environment.
Who This Is For
Development teams already doing remote pair programming will find the collaboration features useful on their own. But the stronger pitch is to anyone running AI agents on tasks that require system-level access: browser automation, testing pipelines, data processing, or any workflow where you'd rather not let an agent loose on your real machine.
Cyqle offers a free tier to get started. The long-term value proposition depends on reliability, latency, and whether the disposable desktop model holds up under serious agent workloads - all things that only real usage will answer.