whereismyai
HardwareOS
HardwareOS is an AI platform that generates hardware build plans, wiring, firmware, and parts lists from descriptions.
HardwareOS is a hardware development platform that translates product ideas into complete build plans. Users describe a device in plain language, and the system selects catalog-backed parts, wires them to a board, writes the firmware, and compiles it. It is designed for students, teachers, makers, first-time founders, research labs, and hardware engineers. The platform includes a browser workbench and a desktop component to help users plan systems, view bills of materials, and manage datasheets. Users can start with a brief or a proven starting point to move from requirements to an instrument plan.
HardwareOS at a glance
- Best for: Software engineer
- Runs on: Web, macOS
- Pricing: Free plan; Hobby plan; Pro plan
- Released: October 2026
- Category: AI coding tool
- Website: hardwareos.ai
Key features
- Picks catalog-backed parts from descriptions
- Wires components to target boards
- Writes and compiles firmware
- Generates bills of materials
- Provides a datasheet library
- Supports browser upload and desktop handoff
- Stores encrypted AI provider keys
Use it for
- Test physical product ideas for startups
- Create repeatable classroom builds for teachers
- Build learning projects for students
- Move from requirements to instrument plans in labs
- Connect applications to real devices
Alternatives to HardwareOS
- ProductOS — Shared context across every stage from a single prompt.
- ESP-Mosaico — Integrates an on-device AI agent runtime with an open desktop development workspace.
- ODS — Automates complex local AI infrastructure setups with one command.
- AgentOS SDK — Runs agents directly inside the backend using WebAssembly and V8 isolates.
- RunThisLLM — Provides exact hardware and VRAM requirements for over 295 local AI models.
- SiliconDevKit — Builds native Mac apps and games from text descriptions in about a minute.
- Strata — Runs large AI models locally on consumer gaming PCs without server reliance.
- Cortex Docs — Unifies API documentation, typed SDKs, and agent-ready MCP tools.
- Union.ai — Runs machine learning tasks natively on Apple Silicon GPUs using Metal.
- ESP-Claw — Runs agent runtimes directly on device chips for local decision making.
- Daytona — It provisions sandboxes in under 90 milliseconds with full security isolation.
- Theneo — It synchronizes documentation with products automatically using AI agents.
All HardwareOS alternatives