The Model Hardware Standard Directory
Keep up to date on protocol updates, new hardware integrations, and who is shipping.
This is an independent community project. It is not affiliated with, endorsed by, or supported by Anthropic in any way.
What this is
The Model Hardware Standard (MHS) is Anthropic’s research-preview specification, announced 27 August 2026 with HHMI Janelia, for AI agents to discover and safely operate programmable physical devices. A standard driver uses read/write primitives, network discovery, and natural-language safety tags. Agents reach devices over MCP, a CLI, or generated code files. Access is apply-only; open source is planned after safety work.
MHS Directory is an independent community index of Model Hardware Standard devices, vendors, labs, and drivers. It is not affiliated with or supported by Anthropic. Anthropic’s spec site is apply-only; this catalog lists named public partners (Genentech, Tecan, Universal Robots, Hugging Face LeRobot, Raspberry Pi, AWS Strands Robots, and others) plus machine-readable JSON and MCP tools.
What is MHS · FAQ · Anthropic announcement · 2026-08-28 news
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Catalog
17 public listings. Community-compiled from Anthropic’s announcement and follow-on coverage.
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- Automata LINQAutomatavendorbuilding
Adding MHS support to LINQ for intelligent error handling of instruments in autonomous labs.
- AWS Strands RobotsAmazon Web Servicesplatformbuilding
AWS will support MHS through Strands Robots (library for connecting agents to physical devices). Preview participants get a private pre-release package for the duration of the research preview.
- Carnegie Mellon — dose-response automationCarnegie Mellon Universitylabpreview user
Serial dilution dose-response ~3× faster. Agent orchestrated liquid handler, plate reader, robotic arm, and monitoring cameras across three computers with incompatible interfaces.
- DanaherDanahervendorexploring
Exploring MHS-supported capabilities for smart instruments and autonomous laboratories to scale biomedical R&D.
- Doosan RoboticsDoosan Roboticsvendortesting
Testing MHS with robotic arms, including automated QA and coordinating tasks across multiple robots.
- Genentech — BCA protein assay PoCGenentechlabpreview user
Proof-of-concept automating the BCA protein assay across a liquid handler, robotic arm, and plate reader. Researchers still had to teach Claude that foaming was a physical failure, not a software bug.
- HHMI Janelia Research CampusHoward Hughes Medical Institutelaborigin partner
MHS started here: Arco Bast’s shared-memory dictionary for a multi-vendor brain-imaging rig (lasers, motorized focusers, cameras). Virginie Ruetten (Ahrens lab) unified a rig that previously needed seven vendor programs.
- Hugging Face LeRobotHugging Faceplatformbuilding
Adding MHS support in LeRobot so open robotics stacks can speak the same driver/discovery model. Watch this repo for the first public driver-shaped code.
- MBF Bioscience ScanImageMBF Biosciencevendorbuilding
Building an MHS driver for ScanImage (laser-scanning microscopes in hundreds of neuroscience labs) for agent-driven real-time analysis and experiments.
- Model Hardware StandardAnthropicstandardresearch preview
Shared driver spec: read/write primitives, network discovery, natural-language tags that generate a device reference file with safety limits. Model-agnostic; agents reach it via MCP, CLI, or code files.
- QIAGEN QIAsymphony ConnectQIAGENvendorpoc
Working PoC: agents troubleshooting instrument issues, guiding operators through recovery, improving uptime while reducing sample risk.
- QuEra Computing — laser lockQuEra Computinglabpreview user
Agent control of parts of the laser system in neutral-atom quantum machines. Recovered laser lock 99.3% of the time without human intervention.
- Raspberry Pi Camera MHS DriverRaspberry Pidevicetested
Successful tests of a Camera MHS Driver; Raspberry Pi enabling MHS integration across a number of products. Highest-leverage hobbyist/developer device to index first.
- Tecan FluentTecanvendorbuilding
Adding MHS support so agents can discover and operate Fluent liquid handling platforms directly.
- Tetsuwan Scientific ResearchOSTetsuwan Scientificplatformpreview user
MHS integrated with ResearchOS. qPCR workflow for citizen-science pollution profiling in San Pedro Creek, California.
- Universal RobotsUniversal Robotsvendorearly access
Early access to MHS; plans to add support to its robotics platform.
- University of Washington Baker and Pinglay labsUniversity of Washingtonlabpreview user
Zihao Song: remote instrument dashboard; agent-supervised qPCR that watches amplification curves and halts on time; collision-free plate handoff between arm and liquid handler.