Roadmap
Windows Support
This allows the Wendy CLI to run on Windows, so that a developer does not need WSL 2 in order to flash Wendy OS on the SSD, and allows the VS Code extension to deploy code without any additional tools.
Raspberry Pi 5 Support
While Raspberry Pi already is supported, it needs a couple of bug fixes before we consider it solid. We still recommend developers use NVIDIA Jetsons for an optimal AI experience if you are intending to run something like PyTorch or MLX.
Python Debugging Support
A developer can do remote debugging either wirelessly or wired from VSCode Extension.
Cloud Fleet Management
Allows teams to deploy manage and debug remotely millions of devices after you deploy.
3D Geospatial Digital Twin
We will give developers an SDK to publish geospatial coordinates to be displayed in the Cloud Dashboard.
Local Operating System Updates
We allow the Wendy CLI to update the operating system without doing a full system flash.
MLX Swift Support
We will add MLX Swift support for WendyOS where developers can fully take advantage of the unified memory architecture of devices like the NVIDIA Jetson, AGX, and Thor.
Swift 6.2 Support
Wendy CLI allows you seamlessly create Swift 6.2 and higher applications and deploy to your jetson.
Linux Support
Wendy CLI runs on a Linux desktop environment, allowing Linux developers to develop and deploy.
Dockerfile Support
Allows a user to create any application that can be wrapped inside Docker to be deployed. This includes Python, TypeScript Node/Bun/Deno, Golang etc...
PyTorch Support
Now WendyOS applications on NVIDIA Jetsons can fully take advantage of the CUDA support on the Jetson to create compelling AI applications.
WendyOS
WendyOS is a ground up built Linux Distro meant for Physical AI projects like robotics, drones, smart cameras, and even embedded servers.