Wendy

Wendy is a comprehensive development engine specifically designed for physical AI, enabling the construction, simulation, and deployment of advanced applications on real-world machines and devices. This platform connects the entire hardware product lifecycle, from initial sensor data capture to continuous model improvement in the field. Its primary focus is facilitating the creation of intelligent machines that interact with the physical world, such as robots, inspection systems, or industrial devices.

The system is powered by WendyOS, a lightweight Linux distribution optimized for arm64 and x86_64 architectures. This operating system consumes just 300 MB of disk space and 200 MB of RAM, maximizing available resources for AI models and complex data processing. For local development, Wendy Agent allows users to work directly on Linux computers or Apple Silicon Macs, integrating the workflow into their preferred code editor without needing to replace the host operating system.

The tool's key capabilities include:

• Simulation and Testing: Native integration with MuJoCo to validate behaviors and algorithms in virtual environments before physical hardware implementation.
• Fleet Deployment: Centralized management of Over-the-Air (OTA) updates with an A/B automatic rollback system to ensure operational stability.
• Sensor Connectivity: The ability to transform IP cameras into local Linux video inputs, simplifying the reading of network streams without relying on proprietary SDKs.
• Technical Data Collection: Utilizing TeleCollect to capture synchronized sensor, audio, and video recordings, which are essential for retraining artificial intelligence models.

On the technical side, Wendy stands out for its compatibility with high-performance hardware such as NVIDIA Jetson (including Orin Nano, AGX Orin, and Thor), Raspberry Pi, and Qualcomm Dragonwing. While it supports languages like Python, Rust, or C++ via containers, the platform prioritizes the use of Swift. This language offers deterministic performance thanks to Automatic Reference Counting (ARC), eliminating the unpredictable pauses of garbage collectors—a critical factor when controlling motors and actuators in real time.

This solution is highly effective in sectors such as manufacturing for quality inspection, the energy industry for monitoring critical infrastructure, and the development of medical devices that process data locally. As an open-source tool (Apache 2.0), Wendy provides a flexible and secure foundation for engineers looking to scale from a lab prototype to a production fleet of autonomous devices.