Best AI Computer Use Agents (CUA) for JSON

Skyvern is an advanced AI automation platform built to handle repetitive and time-consuming browser-based tasks. It leverages computer vision and natural language understanding to interact with websites just like a human would. Users can automate complex workflows using simple text-based instructions without writing custom scripts. Skyvern scales effortlessly, enabling organizations to run hundreds or even thousands of automated tasks at the same time through an API. The platform works across any website, including portals protected by CAPTCHAs, login requirements, and two-factor authentication. It also supports proxy networks for precise geographic targeting. Explainable AI summaries provide full visibility into every action taken during each run. Data extracted from workflows can be exported in structured formats such as JSON or CSV. Skyvern is trusted by thousands of users across multiple industries for high-volume automation. It allows teams to replace manual browser work with reliable, scalable AI-driven processes.

Holo3.1 represents H Company’s advanced suite of swift and localized computer-use agents designed for seamless operation across web, desktop, and mobile platforms, while ensuring better integration within various agent frameworks and deployment targets. Drawing from the Qwen family, Holo3.1 significantly enhances reliability in the diverse environments where these agents are utilized, tackling the distribution changes that arise on mobile devices, alternative agent frameworks, and varied execution environments. The latest version broadens Holo3’s functionality, going beyond mere browser and desktop control, with notable advancements in mobile automation; for instance, the performance in AndroidWorld has surged from 67% to 79.3% for the 35B-A3B model, while the smaller 4B and 9B variants have also shown improvements from 58% to 71%. In addition, Holo3.1 brings forth native support for function-calling protocols alongside structured JSON outputs, which aids teams in integrating the model into third-party agent ecosystems, achieving almost identical performance between function-calling and native execution. This release marks a significant step in enhancing the versatility and effectiveness of computer-use agents across multiple platforms.