Wendy Early Preview: Build, Deploy, and Tinker at the Edge

We built Wendy because deploying to a robot or a Raspberry Pi shouldn't feel like a trip back to 2003. If you can ship a mobile app with one click, why should the physical world be any different?
Today, we're opening up Wendy as an early preview for developers, students, and tinkerers. This isn't a polished 1.0 — it's an invitation to build with us.
What You Can Do Today
Wendy gives you a complete workflow for deploying containerized apps to edge devices — Raspberry Pi, NVIDIA Jetson, or any Linux machine running the Wendy Agent.
wendy init
wendy runwendy init walks you through an interactive wizard — pick your language, choose your entitlements (GPU, Bluetooth, persistent storage, etc.), and you're scaffolded. wendy run builds a container image, pushes it to your device, and streams logs back to your terminal. That's the whole workflow.
- GPU-accelerated workloads on Jetson — run LLMs, YOLOv8, and vision models at the edge
- Remote debugging with breakpoints, logging, and hot reloading from your IDE
- Bluetooth, USB, WiFi, audio, and persistent storage through a simple entitlements model in
wendy.json - Automatic device discovery via mDNS — no IP addresses to memorize
- Your language, your choice — Python, Swift, Rust, TypeScript, C++
Whether you're wiring up a home automation system, running inference on a Jetson, building a robot, or just learning how containers work on real hardware — this is for you.
An Honest Note on Security
We believe in being upfront. Right now, Wendy has no authentication, encryption, or access control. Anyone on your network can SSH into a WendyOS device, and any Wendy CLI can deploy to any reachable agent. We built it this way deliberately to eliminate friction while we get the core developer experience right.
What this means for you:
- Treat Wendy as a lab and learning tool — not a production system
- Don't run it on untrusted or public networks
- Don't use it to deploy anything sensitive
- It's perfect for your desk, your home lab, your classroom, your hackathon, your garage
What's actively in development:
- Project-scoped access control — lock down which users and CLI instances can deploy to which devices
- End-to-end mTLS encryption — encrypted communication between CLI and agent
- Production-grade device identity — secure onboarding and fleet management
We're building Wendy to take you from tinkering on your desk to running in the field. The security and access control to make that safe is coming shortly. We'll make the transition seamless.
For more details, see our Security documentation.
What We Need From You
This early preview exists because we want real feedback from real developers building real things — before we harden everything down.
- Use it. Deploy something. Break something.
- Tell us what's missing. File an issue on GitHub or jump into our Discord.
- Share what you're building. We'd love to feature your projects.
The best tools are shaped by the people who use them. Help us shape Wendy.
Get Started
Ready to try it? Our Getting Started guide walks you through everything — installing the CLI, setting up your device, and deploying your first app. You'll be up and running in minutes.
Welcome to the early days. Let's build something.
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Ready to build on WendyOS?
WendyOS is the open-source operating system for Physical AI — deploy your apps to NVIDIA Jetson, Raspberry Pi, and more in seconds, over USB-C, wireless, or the cloud.