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About

Model Hardware Standard (MHS) is a shared specification that enables AI agents to safely operate physical equipment used in scientific research and advanced manufacturing. It provides a standardized way for agents to discover, understand, and control programmable devices such as microscopes, liquid handlers, robotic arms, sensors, and other lab or factory instruments without requiring bespoke integrations for every machine. MHS introduces standardized drivers built around simple primitives such as read and write, making device capabilities discoverable in a common format across networks. Drivers can also include natural-language metadata about machine characteristics, adjustable parameters, measurements, and enforced safety limits, giving agents the context they need to operate unfamiliar equipment. Once connected, agents can control devices through MCP, command-line interfaces, or APIs, sequence operations across multiple instruments, monitor results, and adjust parameters.

About

​The OpenAI Agents SDK enables you to build agentic AI apps in a lightweight, easy-to-use package with very few abstractions. It's a production-ready upgrade of our previous experimentation for agents, Swarm. The Agents SDK has a very small set of primitives, agents, which are LLMs equipped with instructions and tools; handoffs, which allow agents to delegate to other agents for specific tasks; and guardrails, which enable the inputs to agents to be validated. In combination with Python, these primitives are powerful enough to express complex relationships between tools and agents, and allow you to build real-world applications without a steep learning curve. In addition, the SDK comes with built-in tracing that lets you visualize and debug your agentic flows, evaluate them, and even fine-tune models for your application.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Scientific researchers, engineers, robotics teams, and advanced manufacturers seeking to let AI agents safely control, monitor, and coordinate programmable physical equipment

Audience

Python developers requiring a tool to build modular, multi-agent AI applications with minimal overhead

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Model Hardware Standard (MHS)
United States
www.modelhardwarestandard.com

Company Information

OpenAI
Founded: 2015
United States
openai.github.io/openai-agents-python/

Alternatives

Scilligence SDMS

Scilligence SDMS

Scilligence

Alternatives

Kimi Code CLI

Kimi Code CLI

Moonshot AI
Calibrate

Calibrate

Ambrit
Electromeet

Electromeet

IDC Technologies
Swarm

Swarm

OpenAI

Categories

Categories

Integrations

Agent Control
Anthropic
Apify
Brainpercent
Concentrate AI
Dock
Hindsight
LagRank
Meta Model API
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Prefactor
Python
Traccia

Integrations

Agent Control
Anthropic
Apify
Brainpercent
Concentrate AI
Dock
Hindsight
LagRank
Meta Model API
Muse Spark
Muse Spark 1.1
Muse Spark 1.2
Prefactor
Python
Traccia
Claim Model Hardware Standard (MHS) and update features and information
Claim Model Hardware Standard (MHS) and update features and information
Claim OpenAI Agents SDK and update features and information
Claim OpenAI Agents SDK and update features and information