Anthropic unveils software standard for AI assistants to enhance robot integration

Anthropic wants its AI to stop living entirely in the cloud. On August 27, the company introduced the Model Hardware Standard, a software specification designed to connect AI agents directly to physical hardware, giving models like Claude the ability to discover, interface with, and control real-world devices. The target use cases are immediate and concrete: robotic arms in advanced manufacturing, lab instruments in scientific research, and precision hardware that previously required weeks of custom software work just to get talking to an AI model. What the standard actually does The standard addresses that by providing a common driver interface, natural-language device tags, and built-in compatibility with Anthropic’s existing Model Context Protocol. That last piece matters because MCP already handles how AI models communicate with software tools and data sources, so MHS extends that same logic into the physical world. Critically, the standard is model-agnostic. Anthropic built it to work with AI models beyond Claude. The early performance numbers are hard to ignore. QuEra, one of the early testing partners, achieved a 99.3% success rate on laser relock tasks using MHS-integrated ...