The part I care about isn’t the driver layer, it’s the tagging system. Metadata describing physical properties and limits that don’t show up in code — a robot arm’s weight and reach, a laser’s maximum power. That’s the piece I’ve been faking by hand every time I wire an agent to something on the boat. My NMEA bridge knows how to read a value; it has no idea the bilge pump shouldn’t run dry.
So I’d steal the idea before the standard ships. Write the reference file now: plain natural language, one per device, physical constraints first. Anthropic says MHS goes open source and model-agnostic later, working with anything that has a programmable interface. Until then the format costs nothing and the discipline is the win.
The story — Anthropic previewed the Model Hardware Standard, a specification letting AI agents like Claude drive physical devices in labs and production. MHS defines a standardized driver layer with basic operations like read and write, plus a tagging system for hardware metadata such as safety limits. Developed with HHMI Janelia Research Campus; partners include AWS, Hugging Face and Raspberry Pi. Currently a restricted research preview, open source planned later. (Source)