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Deterministic virtual hardware laboratory for testing A3S agents at the MHS boundary. Conveyor workcell simulation with safety interlocks, emergency-stop, fault injection, and deterministic state. Explicitly a simulated MHS surface, not a conformance claim.

Independent same-name device protocol — not Anthropic's MHS, not affiliated with or endorsed by Anthropic, and makes no compatibility claim. Agnes Harness (Apache-2.0, ~1.28K stars) ships its own Agnes MHS 1.0 plus MOS 1.0 (Model Observation Standard): devices (robots, vehicles, sensors) dial AgnesHub, register tools/data sources, take calls and stream data; the model acts only through the hub. JSON Schema mhs/v1, mhs-check conformance profiles (Core, Motion, Manual, Pause, Perception, Maps, Streaming, Video, Audio clip), Python and TypeScript device libraries, sample devices/dev-hub (no hardware needed), and an optional Agnes plugin with seven device tools (list_devices, read_device, call_device, set_device, stop_device, watch_device, unwatch_device). README: "Agnes MHS is independent of Anthropic's standard of the same name."

Fastly Compute edge security gateway for MHS device control over MCP — JWT auth, schema validation, hardware safety-limit checks, per-device quotas, audit logging (forked from edge-mcp).

EVA-Client: A Unified Framework for Deployment, Evaluation, and Data Collection on Real Robots. Apache-2.0 community project (~303 stars, created 2026-07-02). EVA-MHS Preview (2026-08-28) on the dev/mcp_preview branch explores an MHS-style agent-to-hardware interface — MCP service for coding agents to inspect runtime state, call policy models, and directly control robots. Not formally released. Unofficial / not affiliated with or endorsed by Anthropic.

AI hardware control mesh & lab automation platform - MHS (Model Hardware Standard) implementation: device abstraction, multi-protocol drivers, closed-loop calibration, safety guardrails, LLM agent control.

Community MCP server for Bambu Lab A1/P1/X1 printers over LAN, shaped around Anthropic MHS read/write channels, discoverable device descriptors, and driver-enforced safety limits (not official Anthropic MHS; no public spec yet).

Demo agent implementing the Model Hardware Standard (MHS) read/write pattern against simulated lab hardware, via MCP + Claude.

Open Claude Agent Skills for ICS/OT engineers — ladder logic, Modbus, OPC UA, and incident triage. Created for Anthropic's Model Hardware Standard (MHS). MIT-licensed.

Independent open-protocol drivers, 23 fault-injection physical-world evals, and cookbooks inspired by Anthropic's public MHS description. SiLA 2, file-drop, ASTM/HL7 analyzer, and bedside-monitor drivers plus MCP (mhs_* tools) and CLI (mhs-bridge); instruments are simulated. Not official Anthropic MHS and makes no compatibility claim.

Unofficial Raspberry Pi device gateway billed as an early/shadow implementation aligned to the Model Hardware Standard — not Anthropic's MHS, not affiliated with or endorsed by Anthropic, and not an implementation of the gated official spec. Peripherals are described by YAML Device Capability Descriptors; cloud agents control them over MCP (streamable HTTP); a local rule engine closes the loop offline; a seven-stage guard chain (whitelist, param schema check, e-stop, L2 confirmation, rate limit, dedupe/mutex, liveness probe) with L0/L1/L2 risk tiers; 12-field JSONL audit log. Includes ESP32-S3 LED reference firmware (MSP-1 serial protocol), a v0.9 shadow spec, test cases and test reports. Spec doc says Anthropic's MHS spec is not public yet, so this maps to MHS's public ideas and plans a mapping layer to migrate once the spec is published. Chinese-language README. MIT.

Driver-enforced safety boundary and human-checkpoint run loop for AI-operated lab instruments (simulated). Modeled on Anthropic MHS / Genentech-style pilot — inject faults, steer the agent, freeze learned protocols. Unofficial / not affiliated with Anthropic.

Notes on Anthropic Model Hardware Standard (MHS): AI agents ↔ physical devices. Chinese + English notes tracking Anthropic announcement — explicitly not the official spec. Community research/documentation repo.

Open Model Hardware Standard - AI agent hardware control. MIT-licensed community implementation from South China University of Technology ESA.

Open Model Hardware Standard - AI agent hardware control. MIT-licensed community implementation inspired by Anthropic's MHS.

The open-source alternative to Anthropic's Model Hardware Standard (MHS). A vendor-neutral driver specification for AI-controlled hardware. Apache-2.0 licensed.

Open-source reconstruction of MHS concepts: manifest-described devices, read/write/invoke primitives, safety limits enforced below the agent. Includes simulated + hardware (Pico 2) thermostats, audit logging, three rings of defense. CLI + MCP + Python API.

Unofficial open-source protocol for AI agents to control hardware — not affiliated with Anthropic or MHS, not an implementation of the gated official spec. One .hal.yaml device file format with person-confirmed units and limits; a safety kernel checking range, rate, interlocks and confirmation before any driver acts; single-use grants per command; one stop puts every device in a safe state; hash-chained audit log. v0.1 in development with ~34 drivers (SCPI, Moonraker/Klipper, LeRobot arms, PyLabRobot, SiLA 2, OPC UA, ROS 2, ESPHome, etc.), all tested on simulator only. `openhal init` prints setup for Claude Desktop, Claude Code or Cursor (MCP). README says MHS is a limited research preview and it plans to stay compatible via a mapping doc (spec/MHS-MAPPING.md) and a future adapter once a spec is published. Python, Apache-2.0.

Independent, model-agnostic supervisory gateway between AI agents and programmable hardware; draft spec v0.1 with JSON Schemas, deterministic policy (grants, approvals, unit/range, rate/slew limits), command engine with idempotency, UNKNOWN_OUTCOME handling and readback verification, hash-chained audit log, MCP server and Python SDK; simulated devices only (no real-hardware adapter yet). Not official Anthropic MHS and makes no compatibility claim.

OpenMHS is a shared specification that lets any language-model discover & safely operate hardware. Community-driven implementation inspired by Anthropic's Model Hardware Standard.

quilt × Anthropic's Model Hardware Standard: quilt cells drive MHS devices; quilt runtimes exposed AS MHS devices. Runs today on MockMHS + conformance suite.

Qwen multimodal agent plugins capability for real hardware via Model Hardware Standard adapters — mhs_discover / mhs_meta_info / mhs_read / mhs_write / mhs_health_check / mhs_reset as MCP tools, with host-side safety limits, emergency-stop, and a bundled mock adapter. Unofficial / not Anthropic MHS.

Independent design inspired by Anthropic's public MHS description: AI agents operate a virtual lab (microscope, mixed-signal oscilloscope, robot arm, liquid handler) via discover, configure, measure, and operate, with validation, instrument readback, and audit checks outside the model. Not official Anthropic MHS and makes no compatibility claim.

Unofficial robot assembly assistant in MuJoCo simulation (Franka Panda) — not Anthropic's MHS, not affiliated with or endorsed by Anthropic. Combines RGB coarse positioning, six-axis force/wrench feedback and contact-aware skills (visual approach, surface probing, plane alignment, spiral search, compliant insertion, retreat/retry/abort) in an observe–decide–act–verify agent loop. Built on Agnes Harness (AgnesAI-Labs/agnes-harness); registers the simulated robot as an MHS device via AgnesHub (vision_device.py), with camera/wrench via Agnes's Model Observation Standard (MOS). The 'MHS' it uses is Agnes MHS, which the Agnes repo states is independent of Anthropic's standard of the same name (see unofficial catalog entry Agnes MHS). Simulation only. English + Simplified Chinese READMEs. Apache-2.0. GitHub user bell-312 (no name/org given).