Astropad has introduced a new product called Workbench, a remote desktop solution specifically designed for managing and interacting with AI agents rather than traditional IT support use cases. The launch reflects a broader shift in computing, where autonomous AI systems are increasingly running continuous tasks that require human oversight.
Workbench enables users to remotely monitor and control AI agents running on devices such as Mac Mini systems, directly from iPhones or iPads. Unlike conventional remote desktop tools, which were built for accessing files or troubleshooting systems, Workbench is tailored for AI workflows—allowing users to check logs, review outputs, and restart stalled processes in real time.
The platform offers high-fidelity, low-latency streaming powered by Astropad’s proprietary display technology, ensuring clear visuals even at Retina resolution. It also supports multiple input methods including touch, keyboard, Apple Pencil, and voice commands, enabling users to interact with AI systems more naturally.
According to CEO Matt Ronge, the idea for Workbench emerged from internal needs, as existing tools were not designed to handle the unique challenges of monitoring long-running AI tasks. He noted that while AI agents can operate without direct supervision, users often need to “see what’s happening” to approve actions, fix errors, or guide outputs.
The product also includes features such as a device switcher for managing multiple machines and real-time monitoring capabilities for background AI processes. This is particularly relevant as developers increasingly use compact systems like Mac Minis as dedicated AI compute nodes running continuously without screens.
Workbench is currently available with a limited free usage tier and subscription-based pricing for extended access. Astropad plans to expand compatibility to Windows and Linux in the future, indicating its ambition to serve both individual developers and enterprise users.
With this launch, Astropad is positioning Workbench as part of the emerging infrastructure layer for AI agents, highlighting how remote access tools are evolving from human-to-computer interaction toward human-to-AI collaboration.
