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MHS projects

Standards, drivers, integrations, and agent-to-hardware infrastructure.

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MHSSupport announced
Hugging Face GitHub avatar

Hugging Face

LeRobot

An open-source library for end-to-end robot learning and real-world robotics.

Python00
MHSSupport announced
Strands Labs GitHub avatar

Strands Labs

Strands Robots

Control robots and physical hardware with natural language through Strands Agents.

Python00
MHSAdjacent technology
Strands Labs GitHub avatar

Strands Labs

Strands Robots Sim

Simulated environments for robot agent evaluation and reinforcement learning.

Python00

Open hardware

Robots, arms, humanoids, and edge devices built for AI control.

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HardwareOpen AI hardware
micropython GitHub avatar

micropython

micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

嵌入式硬件
C22K0
HardwareOpen AI hardware

Script to test single core stability, e.g. for PBO & Curve Optimizer on AMD Ryzen or overclocking/undervolting on Intel processors

CPU/处理器
PowerShell1.3K0
HardwareOpen AI hardware

An affordable split 36 keys keyboard

PCB/电路板
OpenSCAD1.2K0
HardwareOpen AI hardware
hdl-util GitHub avatar

hdl-util

hdmi

Send video/audio over HDMI on an FPGA

FPGAHDL/硬件描述语言
SystemVerilog1.3K0

MCP servers

Servers that give models and agents access to tools, data, and hardware APIs.

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Reference Servers48.1K
modelcontextprotocol GitHub avatar

modelcontextprotocol

Fetch MCP Server

Model Context Protocol Servers

Reference Servers
2025-04-12
Integration0
Riza GitHub avatar

Riza

Riza

Arbitrary code execution and tool-use platform for LLMs by Riza

code-executionllmtoolsofficial
2025-03-01

UNDERSTAND THE STACK

How Model, Agent, MCP, and Hardware fit together

Three short views explain what MHS standardizes and how it complements MCP.

MODEL → AGENT → HARDWARE

From model reasoning to physical action

A model understands the goal. An agent plans and calls tools. Hardware senses and acts in the real world. MHS aims to make that last connection consistent and understandable.

  • Model interprets context and constraints
  • Agent chooses and checks actions
  • Hardware executes within physical limits
Browse open hardware

FAQ

Model Hardware Standard questions

Straight answers about MHS, MCP, agents, and open AI hardware.

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Get noteworthy Model Hardware Standard, AI hardware, and MCP additions.