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What is Cua?

Cua is a computer-use agent platform purpose-built for AI systems that need to operate real software environments end to end. It enables agents to control full operating systems in secure cloud sandboxes, executing tasks through visual understanding and precise UI actions. Cua supports parallel agent execution, multi-turn workflows, and cross-platform environments including macOS, Windows, and Linux. The platform includes tools for generating UI datasets, recording agent trajectories, and running standardized benchmarks. Developers can deploy agents in minutes using a simple CLI or SDK without managing infrastructure. Cua integrates with leading vision-language models and automatically routes requests for optimal performance. It is designed to help teams ship, scale, and continuously improve computer-use agents.

What is Agent Compute Engine?

Agent Compute Engine is a comprehensive compute service provided by Google Cloud that specializes in creating execution environments tailored for AI agents. Each AI agent functions within its unique hardware-isolated microVM, featuring a dedicated guest kernel and root-level management capabilities. Users can take advantage of functionalities such as quick startup, pausing, checkpointing, creating snapshots, and resuming workflows efficiently. To preserve agent files and context across various sessions, persistent workspaces are provided, while the platform employs copy-on-write memory sharing to support parallel environments derived from shared images. Agents are capable of executing code, running shell commands, and performing browser actions in secure sandboxes, with access to enterprise data tightly controlled through Google Cloud's networking and identity frameworks. Developers are empowered to personalize environment images, manage identity protocols, regulate network access, and supervise the lifecycle of their agents, all while Google manages the underlying compute infrastructure seamlessly. This platform is especially effective for applications such as interactive assistants, coding agents, browser tasks, and in-depth evaluation and reinforcement learning projects, demonstrating its adaptability and efficiency across a broad spectrum of AI applications. Moreover, by alleviating infrastructure concerns, this extensive management enables developers to concentrate on enhancing and refining their AI solutions more effectively. Consequently, the Agent Compute Engine stands out as a powerful tool for advancing the capabilities of AI-driven projects.

Media

Media

Integrations Supported

Adobe Photoshop
Claude
Docker
GitHub
Google Drive
Lume
Notion
OmniParser
OpenAI
Python
Slack

Integrations Supported

Google Cloud Platform

API Availability

API Availability

Pricing Information

$10/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Cua

Date Founded

2025

Company Location

United States

Company Website

cua.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/blog/topics/ai-infrastructure/agent-compute-engine-deep-dive

Categories and Features

Agentic AI

Not specified

AI Agent Frameworks

Not specified

AI Agents

Not specified

Categories and Features

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