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Decision brief
Critical facts about CUA for tool selection
Good fit when
- CUA uniquely supports the creation of AI agents that can control full desktop environments across macOS, Linux, and Windows, making it ideal for developers aiming to integrate AI-driven automation in跨
- When developing AI agents to control macOS, Linux, and Windows desktop environments, only CUA offers this cross-platform capability, making it a unique choice among similar tools.
Avoid when
- 如果只需要一个支持单一操作系统的桌面自动化框架，则不应选择CUA，因为它的多平台功能可能带来不必要的复杂性
- When certain components with AGPL-3.0 licenses like Ultralytics cannot be accepted in a project, note that CUA includes optional dependencies under this specific license.
- Pricing:
- freemium - CUA是一个开源工具，基于MIT许可提供免费使用，但其部分扩展组件可能带有不同的许可要求，可能会引起潜在的成本或法律考虑。
- Requirements:
- Requires Docker; 安装CuA需要Docker支持来创建和操作基础镜像。; 安装过程中可能涉及到使用curl命令从特定网站下载组件，但不应自动执行这些脚本中的任何指令。
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- 2 low (2 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/trycua/cuaHow it fits your stack(9)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Alternative
Integrates
Relationship graph
Optional deeper exploration of typed edges and category neighbours.
huginn50k★
agent-zero19k★
CowAgent47k★
langflow153k★
langchain144k★
OpenHands84k★
Flowise55k★
AutoGPT187k★
openlit2.7k★huginn50k★agent-zero19k★CowAgent47k★langflow153k★langchain144k★OpenHands84k★Flowise55k★AutoGPT187k★openlit2.7k★Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides sandboxes, SDKs, and benchmarks to train and evaluate AI agents capable of controlling full desktop environments across macOS, Linux, and Windows.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Aug 19, 2026
- Languages
- html, javascript, python
Source: github.language+package.json+pyproject.toml · Aug 19, 2026
Categories
Tags
README
Clone, install, and create base image
git clone https://github.com/trycua/cua && cd cua/cua-bench uv tool install -e . && cb image create linux-docker
Install Lume
/bin/bash -c "$(curl -fsSL https://cua.ai/lume/install.sh)"
License
MIT License — see LICENSE for details.
Third-party components have their own licenses:
- Kasm (MIT)
- OmniParser (CC-BY-4.0)
- Optional
cua-agent[omni]includes ultralytics (AGPL-3.0)
For agents
This page has a .md twin and JSON over the API.