Overview
The open source operating system and toolchain for Physical AI — robots, drones, and edge devices.
Physical AI Platform
The open source OS and toolchain for robots, drones, and edge AI.
Develop, deploy, debug, and observe physical AI apps from a local CLI and editor workflow.
USB-C Deployment
Plug in your Jetson or Pi and deploy in seconds. No SSH, no network config, no ceremony.
Remote Debugging
Full VSCode debugger with breakpoints over USB or the internet — on any device, anywhere.
Observability
Real-time logs, metrics, and distributed traces from every device in your fleet.
ROS2 Support
Run ROS2 nodes natively alongside WendyOS apps on the same hardware.
Atomic OTA Updates
Push firmware to one device or ten thousand. Automatic rollback on failure.
VSCode & Cursor
Deploy and debug without leaving your editor. Extensions for VSCode, Cursor, and Windsurf.
Apache 2.0
No black boxes, no lock-in. The full OS and toolchain are open source and auditable.
NVIDIA & Raspberry Pi
First-class support for Jetson Orin, AGX Thor, and Raspberry Pi 3, 4, and 5.
Get Started
Install Wendy
Plug in an NVIDIA Jetson or Raspberry Pi over USB and start deploying in seconds. Wendy for macOS is available in beta for Apple Silicon targets.
Wendy CLI
Install this on your developer machine.
curl -fsSL https://install.wendy.dev/cli.sh | bashwendy-agent for Linux
OptionalInstall this on an existing Linux target. WendyOS images already include it.
curl -fsSL https://install.wendy.dev/agent.sh | bashDeveloper machine setup
Configure your local tools, editor, and first device connection.
Open setup guideSupported Hardware
Wendy runs on edge devices with strong local compute. Plug one in over USB-C and start deploying.
NVIDIA Jetson
Orin Nano, AGX Orin
- Up to 2000 TOPS AI performance
- CUDA, PyTorch & MLX support
- Hardware video encode & decode
- Unified memory architecture
Raspberry Pi
Pi 3, 4 & 5 (8GB Pi 5 recommended)
- Low power consumption
- Broad GPIO ecosystem
- Hardware PWM, SPI & I2C
- Affordable entry point
Core Components
Wendy consists of several core components:
WendyOS
The Apache 2.0 open source Linux distribution optimized for Physical AI. Includes a mobile-like USB-C development experience, remote debugging, and atomic updates.
Wendy for macOS
Deploy native macOS apps to Apple Silicon Mac targets with Wendy for macOS beta. Supports SwiftPM and Xcode projects with the same CLI workflow.
Wendy Cloud
A fleet management solution for OTA updates, crash reporting, and remote telemetry. Built for teams scaling from prototypes to thousands of devices.
Developer Tools
CLI and VSCode extension for interactive breakpoints, hot reloading, and one-click deployment. Works with VSCode, Cursor, and Windsurf.
Wendy Frameworks
Performance-first Swift, Python, and Rust frameworks for running AI models, controlling I/O, and handling high-speed telemetry.
Wendy Lite
WASM-based runtime for microcontrollers. Deploy Swift, Rust, C, or Zig apps to ESP32-C6 with the same CLI workflow.