Anthropic and HHMI Janelia Research Campus have opened a research preview of the Model Hardware Standard (MHS), a shared specification designed to enable AI agents to safely operate physical devices in labs and manufacturing facilities. The standard reduces hardware integration time from weeks or months to hours by providing a unified driver that translates between operating systems and diverse hardware interfaces.
- MHS allows agents to control multiple instruments, such as microscopes and robotic arms, in parallel using standard protocols like the Model Context Protocol.
- The system uses natural language tags to automatically generate reference files describing device characteristics and safety limits.
- Early partners report significant efficiency gains, including QuEra Computing achieving 99.3% autonomous laser lock recovery and Carnegie Mellon University running dose-response experiments three times faster.
- Hardware vendors including AWS, Doosan Robotics, and Tecan are integrating MHS support to facilitate direct agent discovery and operation.
The initiative aims to streamline autonomous experimentation and fault detection while developing safety evaluations ahead of an open-source release.