Meta Open Sources Code for Muse AI Gadgets on Raspberry Pi

Meta Open Sources Muse AI Code

Meta has released the code behind Muse, its experimental AI gadget platform, as open source. The move gives developers direct access to the same building blocks Meta used to prototype its own wearable AI devices, rather than locking the technology behind a closed SDK.

According to the source material, the release covers the core software needed to build Muse AI gadgets. That means independent makers and small teams can now experiment with the platform without waiting for an official partner program or commercial licence.

Open sourcing the code matters for a few reasons:

• Developers can inspect and modify how Muse works internally.
• Hardware hobbyists can pair the software with their own prototypes.
• Meta signals that Muse is meant to be a platform, not a single product.

The code is the foundation for everything else described in this article, from wiring Muse into custom hardware to running it on displays or a Raspberry Pi. Without this release, none of those projects would be possible.

Connect Muse to Your Own Hardware

Meta now lets you connect Muse to your own hardware. That single change turns the system from a closed demo into something you can wire into devices you already own. Instead of relying only on Meta's published examples, you can pair the open-sourced code with the boards, sensors, and displays sitting on your desk.

The practical effect is that Muse stops being a fixed product and starts behaving like a toolkit. You supply the hardware; the released code supplies the behaviour. If you have a spare microcontroller or a single-board computer, you can start experimenting without waiting for an official gadget.

This matters because it lowers the barrier between reading about Muse and actually running it. You do not need a lab or a manufacturing partner to test an idea. A cable, a power source, and a bit of patience are enough to get moving.

For builders, that openness is the whole point: the code is yours to adapt, and the hardware is yours to choose.

Put Muse on Displays or Raspberry Pi

Muse is not limited to a single screen. Because the code is open, you can put it on the displays you already own or on a Raspberry Pi. This turns ordinary hardware into a place where Muse can run.

That matters if you want Muse to live somewhere other than a phone or a laptop. A display on a desk, a wall, or a shelf can become a Muse surface. A Raspberry Pi gives you a small, inexpensive board that can sit behind that screen.

You do not need to wait for a finished commercial gadget. The open code is the starting point, and your own hardware is the destination. If you have a spare display or a Pi, you already have enough to begin.

The same idea applies to both:

• Displays become a visible home for Muse.
• Raspberry Pi becomes the small computer that drives it.

Putting Muse on displays or a Raspberry Pi is a practical way to move it out of the browser and into the room.

What This Means for Muse AI Gadgets

The open source release changes who gets to build Muse AI gadgets. Instead of waiting for official hardware, you can use your own components, your own displays, or a Raspberry Pi as the foundation for a Muse-powered device. That flexibility lowers the barrier for hobbyists and small teams who want to experiment without committing to a single vendor's product line.

It also opens the door to form factors Meta may never ship. A desk display, a wearable, or a custom enclosure built around a Raspberry Pi all become viable, because the code is no longer locked to one device. You supply the hardware; the open sourced Muse stack supplies the AI behaviour.

For anyone who has wanted to tinker with Muse but felt limited by closed hardware, this is the moment to start prototyping. The pieces are available, and the only real constraint is your imagination.