Cua (trycua, YC X25) builds open-core 'computer-use 2.0' infrastructure: an MIT, agent-neutral background driver for macOS, Windows and Linux (CLI/MCP), local and cloud sandboxes, elastic Cua Fleets for parallel eval and RL training (cloud, BYOC, on-prem), Lume macOS virtualization, the Cua Spaces Mac app, small CUA-S1 decision models, and Cua-Bench for verifiable tasks, leaderboards and RL trajectory export. SOC 2 Type I.
Cua Spaces is 'the Mac app for working alongside your agents. Watch, take over, share files and teleport apps' (cua.ai/docs). It ships as a signed .dmg and .pkg for macOS 26+. It is licensed FSL-1.1-MIT (source-available, becomes MIT two years after release), and hosted or managed-service use needs commercial terms. Fast follow-up releases reached v0.7.2 by 2026-10-05.
Why it matters: First non-MIT (source-available) component in the stack, which matters for commercial-use review.
A compositor-native synthetic cursor lets an agent operate a background window on Hyprland while the user keeps their own pointer. As of 2026-10-05 the latest cua-driver-rs release is v0.33.4, which adds multi-monitor Hyprland support.
Why it matters: Extends Linux coverage beyond X11 to a Wayland compositor.
Dillon DuPont and Francesco Bonacci introduced CUA-S1-FORMS, an MIT-licensed 706k-parameter model (2.8 MB checkpoint). Instead of generating tokens, it scores the available actions on form fields (use, check, click, skip). Show HN on 2026-09-19 got 95 points. Cua's accuracy and latency comparison against hosted Jev is self-reported.
Why it matters: Cua is now shipping small specialised models alongside its infrastructure: cheap local decisions inside larger agent loops.
Francesco Bonacci and Johnny Franks built an open-source, process-scoped Metal capability shim (libs/lume/metal-capability-shim) that lets llama.cpp in macOS guests choose optimised GPU kernels. On an M1 Ultra with TinyLlama 1.1B: 11.08x faster prompt processing and 16.36x faster generation. It got about 307 points on Hacker News.
Why it matters: Makes it practical to run local models inside sandboxed macOS VMs for agent eval.
Agents can combine page-aware CDP actions with OS-level control in one session, with no Chrome extension. In a preliminary OSWorld 2.0 test on 37 valid Chrome task pairs (GPT-5.6 Sol, 80 steps), the mean score moved from 0.0043 to 0.0298 (+2.55 pp). That was not significant: 95% CI -0.0054 to +0.0766, p = 0.5.
Why it matters: Puts browser use and computer use in one environment interface. The vendor reports a non-significant result candidly.
Francesco Bonacci, Dillon DuPont and Robert Wendt presented at AI Engineer World's Fair 2026 (swyx invited them in May; the post does not give the talk date). Cua Driver 0.8 was stable on macOS, Windows and Linux. Named Driver adopters: Clicky (first, in April), then Hermes, Qwen Code, H Company and Factory's Droids. H Company is described as a partner that helped audit the regression matrix. At talk time the Cua-Bench catalog had 130 verifiable tasks across 42 environments and five platforms. Cua Fleets manages warm sandbox pools for eval and RL training on Linux, Windows and Android, with macOS in preview.
Why it matters: Shows Cua moving from single sandboxes to fleet-scale RL training and eval infrastructure. The adopter list is self-reported, except Factory, whose own docs confirm the integration.
Cua says: 'Google gave us early access to the Computer Use tool powered by Gemini 3.5 Flash through the Gemini API.' On the 25-task KiCad suite with a 200-step budget, Gemini 3.5 Flash had the highest mean reward in the post (0.267; 5 full solves, 3 partial). GPT-5.5 got 0.240 (6 full, 0 partial), Claude Sonnet 4.5 and Haiku 4.5 0.253 each, and Claude Opus 4.8 0.240.
Why it matters: Vendor-stated pre-release access from a frontier lab, plus a published cross-lab comparison of computer-use models.
Release tag 0.5.7 drives real Linux desktop apps in the background over MCP or CLI. It uses AT-SPI 2 over D-Bus for the accessibility tree and XTEST for input. Native Wayland is opt-in preview only. Tested on Debian 12, Ubuntu 22.04 and 24.04, Rocky 9 and Fedora 41.
Why it matters: Cua Driver now covers macOS, Windows and Linux behind one agent-neutral interface.
Snorkel researchers Zhengyang (Jason) Qi and Armin Parchami wrote 25 expert schematic-editing tasks in KiCad. Grading is verifiable: the netlist is compared to a ground-truth final project state. Cua provided the harness and verifier support. In Snorkel's own analysis, the best agent tested passed 4/25 tasks (16%) and 0/16 build-from-scratch tasks.
Why it matters: A third-party RL data vendor publicly confirms the collaboration and is using Cua-Bench to build professional-software tasks.
Cua Driver now supports background computer use on Windows for Claude Code, Codex, Hermes and any MCP or CLI agent loop. Each agent gets its own visible synthetic cursor, painted and recorded by the driver and kept separate from the user's physical pointer.
Why it matters: Brings the same driver to Windows desktop software for agent evaluation and data generation.
The trust page says: 'Cua received its SOC 2 Type I report in May 2026.' The report is available to customers and qualified prospects on request (enterprise@cua.ai). The company is 'completing the operating-effectiveness observation period' for Type II. No auditor is named.
Why it matters: Removes a procurement blocker. The baseline record had SOC 2 as unknown and no security page.
Cua released cua-driver under a permissive licence (MIT per the repo). It lets Claude Code, Codex, other MCP clients or a custom loop drive native macOS apps in the background over CLI or MCP, using the private SkyLight framework (SLEventPostToPid) so the agent never takes the user's cursor. A Show HN on 2026-04-28 got about 190 points.
Why it matters: Cua positions background computer use as 'a commodity, not a feature of one agent's product'. Researchers get a harness-agnostic way to drive real desktop apps.