What do you want to do?
3 use cases
-
Spin up a disposable Linux sandbox for an agent
Install the Cua CLI and create, use, screenshot and remove a gVisor container in four commands.
View prompt
Using trycua/cua, create a sandbox named dev, run <commands> inside it with cua sb exec, capture a screenshot, return the outputs to me, and then remove the sandbox.
-
Let an agent operate native desktop apps without taking your mouse
Install Cua Driver so Claude Code, Codex or Cursor can inspect and operate apps in the background.
- REPO
trycua/cua - Claude Code
- Codex
- Cursor
- Software and DevOps
- Intermediate
View prompt
Install trycua/cua Cua Driver, connect it to <agent>, run the Calculator check (6 x 7 = 42), then use it to <task in a desktop app>. Do not send, delete or purchase anything without asking me.
- REPO
-
Create a local macOS VM on Apple Silicon with Lume
Install Lume, create a macOS Tahoe VM from an Apple restore image and connect over SSH.
- REPO
trycua/cua - Software and DevOps
- Intermediate
View prompt
Using trycua/cua Lume on this Apple Silicon Mac, create a macOS Tahoe VM, start it, connect over SSH, and run <test command> inside it, then report the result.
- REPO
Quick start with Cua
- Check you have what it needs: macOS 26 or later for Cua Spaces; Apple Silicon for Lume VMs; macOS, Linux or Windows for the cua CLI and Cua Driver.
- Open trycua/cua on GitHub and read the README and license.
- Install with
curl -fsSL https://cua.ai/install.sh | sh(Windows uses the PowerShell installer) - Create a sandbox:
cua sb create ubuntu --name dev - Run a command inside:
cua sb exec dev uname -a - Take a screenshot with
cua sb screenshot dev
These steps come from our top use case, Spin up a disposable Linux sandbox for an agent, which also has a copy-paste agent prompt.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for trycua/cua
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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Get them freeAbout this repo
- Who it is forDevelopers building or running computer-use agents who need safe desktops, sandboxes and app automation instead of letting agents loose on their main machine.
- Why it is hot31k stars, picked up by one AI source we track
- LanguageRust
- Sourcegithub.com/trycua/cua · Back to Hot repos
Requirements
- macOS 26 or later for Cua Spaces
- Apple Silicon for Lume VMs
- macOS, Linux or Windows for the cua CLI and Cua Driver
- Spaces is free for individuals; Pro and Teams are paid
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Questions about Cua
What is Cua?
Cua gives AI agents computers they can use. The repository holds Cua Spaces (a desktop app that gives agents full macOS or Linux desktops on your Mac, other machines you own or your own cloud), Cua Driver for operating native apps and browsers, Lume for local macOS and Linux VMs on Apple Silicon, a Cua SDK and CLI for sandboxes, CUA-S1 decision models and Cua Bench for evaluating computer-use agents. It is an open-source project on GitHub: https://github.com/trycua/cua.
How do I use Cua?
Install with curl -fsSL https://cua.ai/install.sh | sh (Windows uses the PowerShell installer); then create a sandbox: cua sb create ubuntu --name dev; run a command inside: cua sb exec dev uname -a. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Cua for?
Developers building or running computer-use agents who need safe desktops, sandboxes and app automation instead of letting agents loose on their main machine.
What can I do with Cua?
3 use cases so far, for example: Spin up a disposable Linux sandbox for an agent; Let an agent operate native desktop apps without taking your mouse; Create a local macOS VM on Apple Silicon with Lume. Each has steps and a copy-paste agent prompt.
What do I need to run Cua?
macOS 26 or later for Cua Spaces; Apple Silicon for Lume VMs; macOS, Linux or Windows for the cua CLI and Cua Driver; Spaces is free for individuals; Pro and Teams are paid.
What are alternatives to Cua?
Other hot AI repos in Software and DevOps: Deep Infer, Harness2, Orca, Opencode, Graphify.
Is Cua safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.