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Cua
Cua is a computer-use agent stack for building, benchmarking, and deploying agents that use computers, with Cua Driver, sandboxes, CuaBot, Cua-Bench, Lume, SDKs, and model integrations.
The repository frames Cua Driver as background computer-use on macOS and Windows, with Linux described as pre-release, and presents CLI/MCP paths for agents such as Claude Code, Cursor, Codex, OpenClaw, and custom clients. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
Computer-use agents and background desktop control
Cua is framed as a way to give agents controlled computer-use surfaces, from background native-app control through Cua Driver to sandboxed OS environments for broader desktop workflows.
Why it stands out
Driver, sandbox, and benchmark layers
It brings together Cua Driver for background app control, Cua sandboxes for OS environments, CuaBot for co-op computer-use workflows, Cua-Bench for evaluation, and Lume for macOS virtualization.
Availability
Repository, docs, and release notes
The source materials include the GitHub repository, Cua Driver installation docs, platform notes for macOS, Windows, and Linux pre-release, benchmark materials, examples, and release notes for the cross-platform driver work.
Why it matters
Why readers may notice it
Cua is worth opening at the source because desktop agents raise a practical question browser agents do not: what changes when an AI can work across desktop surfaces, not only inside one webpage?
What readers may want to know
Where it fits
Open it beside browser agents, desktop-control tools, CLI/MCP agent paths, sandboxes, and evaluation setups rather than treating it as a finished consumer assistant.
Reporting note
What appears notable
The source trail to inspect includes the Cua Driver shift toward background computer-use on macOS and Windows, the Linux pre-release framing, CLI/MCP support, Windows installer path, sandbox APIs, CuaBot, Cua-Bench, and Lume.
Before using
What readers may want to review
Which operating-system environment, driver path, provider, or sandbox route fits the intended workflow.
Which computer-use model or composed-agent setup matches the task and budget limits.
How the local, cloud, benchmark, Cua Driver, and MCP pieces fit together before treating it as a simple plug-in layer.
Account permissions, logged-in sites, private data, and human review needs before letting any agent operate desktop or browser surfaces.
Reader fit
Who may find it relevant
Readers following computer-use agents and full-desktop automation.
Builders comparing background desktop control, agent sandboxes, MCP tooling, and evaluation workflows.
Less relevant for readers who only want a chatbot interface or a narrow web-page automation helper.
Editorial note
Why it is included here
The source material around Cua gives readers a check on a broader computer-use agent stack, from background desktop control through Cua Driver to sandboxes and benchmarks.
Source links
Original materials
Reader note
Before relying on this entry
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