Cua
Cloud desktops for AI agents with support for any OS including macOS, Windows, Linux, and Android.
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How the 6.8 was reached
- Quality of output7/10
26,903 GitHub stars with active development; its own benchmark shows frontier agents clearing only 6 of 25 tasks, and 1,037 issues are open. Source: github.com
- Ease of use6/10
Open-source driver runs as MCP server or shell command with local Docker/QEMU backends; docs exist but setup takes effort. Source: cua.ai
- Pricing value7/10
MIT open-source code is free; hosted fleet is usage-priced by vCPU-hour, though the memory price is incomplete. Source: github.com
- API and integration quality7/10
Python sandbox SDK, MCP stdio server and integrations with OpenAI and Qwen; docs exist. Source: cua.ai
- Solves the problem it claims to solve7/10
26.9k stars support real adoption for computer-use agent infrastructure; cross-OS fleet claims are vendor-described. Source: github.com
6.8/10 is the average of the five criterion scores above. The evidence comes from 2 different sources.Scores come from public evidence (the tool's own pages and documentation, and independent reviews); we do not test every tool hands-on. Scored 29 September 2026, on version 1 of our five-criteria scoring method.
Pricing
- Basic sandbox access
- Community support
- Open source features
- Advanced OS support
- Priority support
- Enterprise features
For the full list of what each plan includes, and current prices, see github.com.
Key Features
- Multi-OS cloud sandboxes (macOS, Windows, Linux, Android)
- Computer-use agent integration
- Live GUI sessions with VNC
- Prebuilt images for AI agents
- Interactive shell access
Pros & Cons
Pros
- Supports multiple operating systems including macOS
- Built specifically for computer-use AI agents
- Open source with 15.5k GitHub stars
- Used by major companies like Meta, Apple, NVIDIA
- Live GUI sessions for real desktop interaction
Cons
- Custom pricing lacks transparency
- Relatively new platform with limited documentation
- May have steep learning curve for non-technical users
- Dependency on cloud infrastructure for all operations
Cua fills a unique niche by providing cloud desktops specifically designed for AI agents that need to interact with computer interfaces. While it shows promise with backing from major companies, the custom pricing and early-stage nature may limit adoption.
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