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Cua

#41 agent frameworkverified Sep 4, 2026cua-spaces-v0.2.0

Computer-use agent stack with background desktop drivers and sandboxes for Linux, macOS, Windows and Android

Key differences

Computer-use agent stack with background desktop drivers and sandboxes for Linux, macOS, Windows and Android

  • Runs local and cloud and sandbox. Open-source sandbox framework free to run locally; Cua Fleet cloud is usage-priced from $0.044625 per vCPU-hour plus $0.0223125 per GB-hour
  • Acts as an MCP server. Listed for 23 of 118 tools in this category.
  • Includes a Docker sandbox. Listed for 25 of 118 tools in this category.

“It drives Linux, macOS, Windows and Android, so there is finally an agent that can ignore a notification on every platform you own.”

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What it is

Cua gives computer-use agents one Python API for a sandbox on any OS, running locally on QEMU, Docker or Apple Virtualization or in the Cua cloud, with shell, screenshot, mouse, keyboard and mobile gesture control. Cua Drivers automate native desktop apps in the background without stealing the cursor, exposed through a CLI and an MCP server, and Cua-Bench evaluates agents on OSWorld, ScreenSpot and Windows Arena.

Specification

Source verification

Row snapshot checked 2026-09-04. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

overview
Needs individual review
pricing
Needs individual review
docs
Needs individual review

Architecture

Type
Agent framework
Runsunsourced
local, cloud, sandbox
Platforms
macos, linux, windows
Context windowunsourced
not documented
Languages
Python

Models

Backboneunsourced
any
Bring your own model
Yes
Local models
No

Protocols

MCP clientunsourced
No
MCP server
Yes
OpenAPI tools
No

Capabilities

Terminal commandsunsourced
Yes
Multi-file edits
No
Git operations
No
Browser control
Yes
Sandboxed execution
Yes
Multi-agent
No
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
n/a
Free tier
Yes
Bring your own key
Yes

Open-source sandbox framework free to run locally; Cua Fleet cloud is usage-priced from $0.044625 per vCPU-hour plus $0.0223125 per GB-hour

Openness

Open sourceunsourced
Yes
License
MIT
First release
2025-01
computer-usesandboxmcpbenchmarks

Los Agentes on Cua

Who are they?
The ruling
El JuezThe judge

El Hacker alone at 8.50 against El Profesor's reservation at 6.75: the local path is real, and the benchmark harness carries no published number.

Adopt with conditions
Reasoning and trade-offs · AI analysis

El Hacker holds the top of a two-and-a-half point spread, unusual on a product with a hosted tier: he ran it under Apple Virtualization with no account and nothing reporting anywhere. El Profesor holds the reservation: Cua-Bench wraps three third-party suites and the record shows no number from any.

El Hacker wins on the framework and El Profesor is overruled on the purchase, since a missing benchmark is a reason to measure your own workload, not to decline the runtime. La Jefa keeps the cloud honest: an agent that stalls does not error, it accrues. Adopt with conditions, one backend pinned per workload, with timeouts and a hard budget cap.

Agree with El Juez?
El AmigoThe friend

Pick Cua when an agent has to use desktop software you cannot script; pick Browser Use if the work never leaves a web page, because that is a much smaller problem.

7.0
Reasoning and trade-offs · AI analysis

The detail that decides it is that the drivers work in the background without taking your cursor. Every other approach to desktop automation turns your machine into something you sit and watch, and that single behaviour is the difference between a tool you run during the workday and one you schedule for the night.

Pick it when the target is a native application with no API and no plugin story. Pick Browser Use when everything happens in a browser, because dragging a whole operating system along for a web task is a cost you feel in both time and money.

reliability
7
usefulness
7
cost
7
longevity
7
Agree with El Amigo?
El CríticoThe critic

One Python interface spans hypervisors, containers and a hosted fleet, and a virtual machine does not fail the way a container fails, so the abstraction will leak where it hurts.

6.5
Reasoning and trade-offs · AI analysis

The unifying API is the selling point and the exposure. Boot times, snapshot semantics, clipboard behaviour, display handling and crash recovery all differ between a virtualised guest and a container, and code written against the shared surface will encounter those differences only in production, on whichever backend the customer chose. Debugging then requires knowing the layer the abstraction was hiding.

Pin one backend per workload and test against that one. What it does right: isolation is the default everywhere rather than a mode you remember to switch on, which for computer use is the only defensible posture.

reliability
6
usefulness
7
cost
6
longevity
7
Agree with El Crítico?
El ProfesorThe professor

Cua-Bench evaluates agents on OSWorld, ScreenSpot and Windows Arena, which are third-party suites, and the record carries no scores from any of them.

6.8
Reasoning and trade-offs · AI analysis

Building an evaluation harness over three externally authored suites is the correct methodological choice, because it separates the measuring instrument from the thing measured and keeps results comparable to published work by other groups. Screen grounding and full desktop task completion are different competencies, and using suites that isolate each is deliberate rather than accidental.

What the record does not contain is a single number. A harness with no reported results demonstrates good intent and establishes nothing, and the natural suspicion about a vendor-run harness is answered only by publishing runs others can reproduce.

reliability
7
usefulness
7
cost
6
longevity
7
Agree with El Profesor?
La InversoraThe investor

Open core with a metered cloud on top, in a category the frontier labs are entering directly, which sets a clock on how long the independent layer stays valuable.

6.3
Reasoning and trade-offs · AI analysis

The structure is the familiar one: give away the framework, sell the machines it runs on. That works when the hosted layer is genuinely inconvenient to self-operate, and fleets of virtual desktops qualify, so there is a real business here rather than a hopeful one.

The pressure comes from above. Every lab shipping native computer use compresses the value of an independent harness, and the defensible remainder is the operational work of running desktops at scale. Likely acquirer: an automation incumbent that wants a modern runtime, or a lab that wants the fleet. Position: long the infrastructure, not the abstraction.

reliability
6
usefulness
7
cost
6
longevity
6
Agree with La Inversora?
La JefaThe CTO

There is no seat price at all; the cloud bills $0.044625 per vCPU-hour plus $0.0223125 per GB-hour, so finance gets a forecast and I get a spend cap.

6.0
Reasoning and trade-offs · AI analysis

Pricing to six decimal places per vCPU-hour tells me this was designed by infrastructure people, and it means our exposure is a function of how long agents sit idle inside running machines rather than how many engineers we have. An agent that stalls does not error, it accrues, and that is the line item I would be explaining.

It runs unattended, which makes it genuinely useful for interface testing in our pipelines. There is no identity federation documented. Approved with conditions: a hard budget cap, timeouts on every sandbox, and a monthly review of the hours.

reliability
6
usefulness
6
cost
6
longevity
6
Agree with La Jefa?
El HackerThe tinkerer

MIT, pip install cua, a driver install script, an MCP server so my own client can drive a desktop, and QEMU or Apple Virtualization locally with no cloud account.

8.5
Reasoning and trade-offs · AI analysis

This is the rare hosted product whose local path is the real one. I ran it under Apple Virtualization on my laptop and under QEMU on the machine in the corner, with no account, no key and nothing reporting anywhere. The driver installs from a shell script I read first.

Exposing an MCP server is the part that made me happy: my own client gets mouse, keyboard, screenshots and a shell on a machine I control, which means I can point any agent I like at a desktop. MIT, so the whole stack is mine to modify. This one I keep.

reliability
8
usefulness
9
cost
9
longevity
8
Agree with El Hacker?