Meta open sources code to let you make Muse AI gadgets

What changed

Meta released open source code that allows builders to create their own Muse AI gadgets. These gadgets run Meta’s AI assistant agent, named Muse, on DIY hardware. The company recommends using off-the-shelf ESP32 boards to run Muse on devices such as color E Ink screens, HDMI sticks, or small touchscreen displays. This move puts the software side of Meta’s AI gadgets directly into the hands of developers and hobbyists.

Why builders should care

Before, Muse was a proprietary feature within Meta’s ecosystem, limiting access to those inside the company or authorized partners. Open sourcing the code expands possibilities for customization and experimentation. Builders can now repurpose inexpensive hardware into interactive AI tools that show reminders, sync with larger displays, or offer basic touchscreen AI experiences. This lowers the barrier for creating functional AI-driven home or office devices without deep internal infrastructure.

The practical takeaway

If there’s a practical angle, it’s that AI is getting more embedded and modular at the device level. Builders can embed Muse AI into simple, affordable gadgets rather than relying on big, locked-down platforms. This flexibility can accelerate niche use cases like personal reminders on E Ink displays or DIY smart displays for small spaces. It also means AI assistant functionality can be tailored or integrated into existing off-the-shelf hardware, cutting costs and gaining control.

What to watch next

The key will be how the community responds and what new Muse-powered devices emerge. Will hobbyists and small businesses find compelling, practical Muse gadget ideas? Will Meta maintain active support and updates for the open source project? Watch whether this approach nudges other AI providers to open source hardware integration layers, or if it remains a niche play mostly for enthusiasts. Also, monitor any security or privacy questions that might arise from DIY AI gadgets connecting to user data.

AI Quick Briefs Editorial Desk