Operational brief
CUA
Open-source computer-use agent infrastructure (TryCUA).

Choose it when
You are standing up computer-use infrastructure yourself.
Skip it when
You only need a web browser harness, not desktop computer-use infra.
01 / Classification
Autonomy evidence
This is our classification, not a vendor badge. The record says what the product normally does. The gaps stay visible.
02 / Operations
Control reality
Useful agents eventually touch something real. This is the operational picture we have, not a promise hidden in a sales page.
03 / Receipts
Evidence ledger
Here is what this brief is built on. “Documented” means we found a source. “Tested” means this desk actually ran it. Those are different things.
Sources on file
Corrections
Not recorded yet. If we change a material claim, the correction belongs here.
Desk notes
What we found
Useful context, not a substitute for the source record above. This is not a desk test unless the evidence status says tested.
Pick this if agents need real OS machines — Linux, Windows, macOS, Android — in sandboxes or fleets. Skip it if a browser harness is enough.
What the vendor says
cua.ai (fetched 2026-09-22) describes fleets for computer-use training, eval, and data generation on Linux, Windows, macOS, and Android. Cua Driver is described as an open-source background driver (MCP and CLI) that clicks and types without moving the system cursor, MIT licensed, on macOS, Windows, and Linux. The page says the open-source sandbox can run GUI Docker, QEMU, and Apple VZ locally, and lists Cua Fleet usage prices: CPU $0.044625 per vCPU-hour and memory $0.0223125 per GB-hour. The site also shows “25.2K Humans” next to the GitHub link; the GitHub API count below is the figure to use. This desk has not driven a Cua sandbox.
GitHub
GitHub API on 2026-09-22: trycua/cua, 25,757 stars, 1,770 forks, license MIT, last push 2026-09-22T00:37:14Z, homepage https://cua.ai. Description: “Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.”
Product Hunt
Product Hunt product cua-3, tagline “Docker for Computer-use Agents,” showed 5.0 from 1 review and 348 followers when fetched. The listing is tagged Free and Open Source. The maker post claims up to 97% native CPU speed on Apple Silicon — that is maker copy on Product Hunt, not a measurement by this desk. The current cua.ai product is broader than that 2025 container launch.
Anonymous search on 2026-09-22 mostly surfaces vendor announcements, not independent reviews. r/codex 29 May 2026 compares Cua Driver with Codex computer use on Windows and says the Windows Codex path takes over the desktop while Cua is pitched as background control — a user contrast, not a lab test. r/hermesagent 22 Jun 2026 notes Hermes computer use via TryCua. r/LovingOpenSourceAI 19 Sep 2026 reposts Cua’s CUA-S1 open-source model announcement.
Sources fetched 2026-09-22
04 / Change log
Related coverage
The brief tells you what the product is. Payloads track the changes that may alter the decision.