Comparison
agent-zero vs cua
agent-zero (A full Linux system for your AI agent.) vs cua (Open-source infrastructure for Computer-Use Agents) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · agent-zero alternatives · cua alternatives
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Tagline
- agent-zero
- A full Linux system for your AI agent.
- cua
- Open-source infrastructure for Computer-Use Agents
Stars
- agent-zero
- 18k
- cua
- 19k
Forks
- agent-zero
- 3.7k
- cua
- 1.3k
Open issues
- agent-zero
- 249
- cua
- 464
Language
- agent-zero
- Python
- cua
- HTML
Adopt for
- agent-zero
- Agent Zero is an AI agent framework that provides a complete Linux system with a desktop environment and plugin hub within a Docker container. It can be installed via the A0 Launcher (GUI) or A0 Install script (CLI).
- cua
- Cua is an open-source infrastructure designed for training and evaluating AI agents that can interact with full desktop environments across macOS, Linux, and Windows systems.
Persona
- agent-zero
- -
- cua
- -
Runtime
- agent-zero
- -
- cua
- -
License
- agent-zero
- Other
- cua
- MIT
Last pushed
- agent-zero
- Jul 6, 2026
- cua
- Jul 7, 2026
Categories
- agent-zero
- AI Agents
- cua
- AI Agents, Computer Vision
Trust and health
Days since push
- agent-zero
- 1d
- cua
- 0d
Open issues (now)
- agent-zero
- 249
- cua
- 464
Security scan
- agent-zero
- 97 low (97 low)
- cua
- 2 low (2 low)
Full report
- agent-zero
- Trust report
- cua
- Trust report
Typed relationship
agent-zero alternative cuaBoth Agent Zero and cua offer frameworks or platforms for developing computer-use agents, but they differ in their approach and the environment (Linux system vs. unspecified infrastructure).
Choose agent-zero if…
- agent-zero is primarily Python; cua is HTML.
- License: agent-zero is Other, cua is MIT.
- Both Agent Zero and cua offer frameworks or platforms for developing computer-use agents, but they differ in their approach and the environment (Linux system vs. unspecified infrastructure).
- Tags unique to agent-zero: assistant, zero, linux, autonomous.
- You require a full-fledged Linux desktop environment for your AI agent to operate in.
When NOT to use agent-zero
- If you are seeking lightweight solutions that do not involve a full Linux system within a container.
- When you prefer to manage AI agents without a desktop environment or plugin extensibility.
- In scenarios where Docker is not an option or when running on systems with significant resource constraints.
Choose cua if…
- cua is primarily HTML; agent-zero is Python.
- License: cua is MIT, agent-zero is Other.
- Both Agent Zero and cua offer frameworks or platforms for developing computer-use agents, but they differ in their approach and the environment (Linux system vs. unspecified infrastructure).
- Tags unique to cua: computer-use, containerization, ai-agent, virtualization.
- Also covers Computer Vision.
- cua ships Docker support for self-hosted deployment.
- When you require native support to train AI agents on both macOS (fully supported) and Windows platforms (with some limitations), while also having preliminary Linux support in pre-release stage.
When NOT to use cua
- Avoid using Cua if you are developing AI agents primarily for platforms other than macOS, Windows, and Linux. Competitors may offer better support for a wider range of operating systems.
- Do not use Cua if immediate full-featured support across all target platforms (Windows, macOS, Linux) is critical as the Linux support is currently in pre-release stage.
Explore
agent-zero trust report →cua trust report →AI Agents category →Computer Vision category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between agent-zero and cua?
- agent-zero: A full Linux system for your AI agent.. cua: Open-source infrastructure for Computer-Use Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-zero over cua?
- Choose agent-zero over cua when agent-zero is primarily Python; cua is HTML; License: agent-zero is Other, cua is MIT; Both Agent Zero and cua offer frameworks or platforms for developing computer-use agents, but they differ in their approach and the environment (Linux system vs. unspecified infrastructure); Tags unique to agent-zero: assistant, zero, linux, autonomous; You require a full-fledged Linux desktop environment for your AI agent to operate in.
- When should I choose cua over agent-zero?
- Choose cua over agent-zero when cua is primarily HTML; agent-zero is Python; License: cua is MIT, agent-zero is Other; Both Agent Zero and cua offer frameworks or platforms for developing computer-use agents, but they differ in their approach and the environment (Linux system vs. unspecified infrastructure); Tags unique to cua: computer-use, containerization, ai-agent, virtualization; Also covers Computer Vision; cua ships Docker support for self-hosted deployment; When you require native support to train AI agents on both macOS (fully supported) and Windows platforms (with some limitations), while also having preliminary Linux support in pre-release stage.
- When should I avoid agent-zero?
- If you are seeking lightweight solutions that do not involve a full Linux system within a container. When you prefer to manage AI agents without a desktop environment or plugin extensibility. In scenarios where Docker is not an option or when running on systems with significant resource constraints.
- When should I avoid cua?
- Avoid using Cua if you are developing AI agents primarily for platforms other than macOS, Windows, and Linux. Competitors may offer better support for a wider range of operating systems. Do not use Cua if immediate full-featured support across all target platforms (Windows, macOS, Linux) is critical as the Linux support is currently in pre-release stage.
- Is agent-zero or cua more popular on GitHub?
- cua has more GitHub stars (19,451 vs 18,362). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-zero and cua open source?
- Yes - both are open-source projects on GitHub (agent-zero: Other, cua: MIT).
- Where can I find alternatives to agent-zero or cua?
- GraphCanon lists graph-backed alternatives at /tools/agent0ai-agent-zero/alternatives and /tools/trycua-cua/alternatives (/tools/agent0ai-agent-zero/alternatives.md, /tools/trycua-cua/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/agent0ai-agent-zero-vs-trycua-cua.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, agent-zero or cua?
- agent-zero: Very active. cua: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for agent-zero and cua?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-zero: /tools/agent0ai-agent-zero/trust; cua: /tools/trycua-cua/trust.