Cua: Scale Computer Fleets for Computer-Use Agents

Cua: Scale Computer Fleets for Computer-Use Agents

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Deploy and manage computer fleets for AI agents across Linux, Windows, macOS, and Android. Integrates with MCP/CLI for seamless automation.

Last Updated Nov 10, 2026
Cua: Scale Computer Fleets for Computer-Use Agents screenshot

About

Cua is an open-source tool built for managing large-scale computer fleets, designed to help developers and operations teams efficiently schedule and control AI agents that operate in computer-use scenarios. Whether on Linux, Windows, macOS, or Android devices, Cua provides a unified interface that lets you manage thousands of machines as easily as if they were a single system. With support for MCP (Multi-Computer Protocol) and CLI (Command-Line Interface), Cua delivers the foundational infrastructure needed for automation tasks, distributed testing, and AI-driven computer interaction.

Key Features

Cross-platform fleet management: Seamlessly supports Linux, Windows, macOS, and Android devices, enabling unified control across mixed architectures.
Dual MCP/CLI interfaces: Provides a standardized Multi-Computer Protocol (MCP) and Command-Line Interface (CLI) for easy integration into existing CI/CD or automation workflows.
Computer-use agent orchestration: Purpose-built for AI agents that need to "operate a computer," supporting remote GUI actions, file read/write, process management, and other complex tasks.
Open source and extensible: Fully open source, allowing developers to create custom plugins, connectors, or protocol extensions to meet specific business needs.
Real-time status monitoring: Built-in cluster health checks and log aggregation help quickly pinpoint faulty nodes or performance bottlenecks.

Pricing & Fees

  • Pricing: Cua Spaces offers a Free plan ($0), Pro at $18/month ($15/month billed yearly) for one person, and Teams at $30 per seat/month ($25 yearly), 1 to 100 seats.
  • Free tier: Includes Spaces on every connected computer, Teleport, Space sharing with named people, up to 2 live sessions and 20 remote hours a month, with no account needed to start.
  • Plan limits: Pro raises limits to 5 live sessions and 200 remote hours a month; each Teams seat adds 5 live sessions and 200 remote hours to a shared team pool. Exceeding limits does not cut service—an upgrade notice appears instead.
  • Billing details: Yearly billing gives 2 months free (Pro saves $36/year; Teams saves $60 per seat/year), with a 14-day full refund window after the first yearly charge.
  • Open source and platform availability: Cua Driver, Lume and the Cua SDK are open source; Cua Spaces is available for Mac, Windows (preview) and Linux, and runs on your own computers or cloud VMs.

Who It's For

DevOps engineers who need to manage mixed-OS clusters and want to integrate computer automation into their pipelines; AI application developers building intelligent agents that require remote computer control (such as browser automation, desktop app testing, or data collection bots); system administrators managing hundreds of Android devices or IoT endpoints who need centralized command dispatch and result collection; and research or educational institutions looking to set up distributed experiment environments or use Cua as a teaching and experimentation platform for computer-use agents.

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