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Anthropic unveils MHS standard for AI agents to operate physical devices
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Anthropic unveils MHS standard for AI agents to operate physical devices

Aug 27, 2026

On August 27, 2026, Anthropic PBC announced the Model Hardware Standard (MHS), a model-agnostic interface designed to let AI agents operate physical devices in scientific research and advanced manufacturing. Developed with the Howard Hughes Medical Institute, MHS replaces disparate APIs with a unified interface, enabling automation of tools like microscopes and quantum lasers. Currently in a research preview with partners like AWS and Hugging Face, Anthropic plans to open-source MHS while expanding its own hardware strategy by designing custom chips.

Model Hardware Standard announcement

  • ▪The Model Hardware Standard is model-agnostic and designed to work with any device that has a programmable interface
  • ▪Anthropic PBC previously introduced the Model Context Protocol in 2024 to standardize how artificial intelligence models interact with different software programs and data sources
  • ▪The Model Hardware Standard replaces disparate device-specific application programming interfaces with a single, unified interface providing standardized configuration commands
  • ▪Anthropic PBC announced the Model Hardware Standard on August 27, 2026, to allow artificial intelligence assistants to operate physical devices in scientific research and advanced manufacturing

Scientific instrument automation

  • ▪In an internal test, Anthropic PBC had Claude generate an instrument control script that automatically adjusts the position of lasers to reduce costs compared to inference-based workflows
  • ▪Quantum computing startup QuEra Computing Inc. is using the Model Hardware Standard and Anthropic's Claude to coordinate the lasers with which it programs its quantum computers
  • ▪The Model Hardware Standard allows researchers to create a file describing key instrument properties, such as a robotic arm's weight or a sensor's detectable wavelengths, to help agents avoid configuration mistakes
  • ▪The Howard Hughes Medical Institute collaborated with Anthropic PBC to develop the Model Hardware Standard and built an artificial intelligence agent that automatically manages microscopes

Phased rollout with partners

  • ▪Anthropic PBC released the Model Hardware Standard under a research preview on August 27, 2026, to a limited number of partners to develop safety features before a broader release
  • ▪Anthropic PBC plans to make the Model Hardware Standard available under an open-source license, allowing any device manufacturer to adopt it
  • ▪Amazon Web Services Inc., Hugging Face Inc., and several industrial robot suppliers are working to integrate the Model Hardware Standard with their products

Manufacturing robotics applications

  • ▪The Model Hardware Standard is designed to enable artificial intelligence agents to control manufacturing equipment and execute autonomous, round-the-clock workflows with minimal human intervention
  • ▪Alek Kemeny, a quantum physicist who co-led the development of the standard, stated that the Model Hardware Standard allows Claude to view robots on a factory line and optimize behavior without bespoke code

Anthropic hardware expansion strategy

  • ▪Anthropic PBC recently hired Caitlin Kalinowski, a hardware executive who previously worked at OpenAI, Meta, and Apple, to support its hardware efforts
  • ▪Anthropic PBC is building out a silicon team to design custom chips for its artificial intelligence models

5 sources

CNBC
Anthropic pushes into physical world with new standard to help AI agents operate machines
View source article
Reuters
Anthropic unveils new framework allowing AI agents to operate physical devices | Reuters
View source article
Bloomberg
Anthropic Unveils MHS to Let Claude AI Work With Robots, Lab Equipment
View source article
Wired
This Is How Anthropic Thinks AI Agents Should Navigate the Physical World
View source article
SiliconANGLE
Anthropic previews MHS standard for AI agents that operate machines - SiliconANGLE
View source article

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