Meta Open Sources Muse Gadget Code, Inviting Developers to Build AI-Powered Hardware

Meta has released the Muse Gadget SDK, an open-source project that lets developers build custom hardware connected to its personal AI agent. The package includes open-source firmware and a Linux software development kit, giving makers a starting point for devices that can communicate with Muse. The project is available through Meta’s developer and code repositories, while the company is promoting it as an invitation to experiment rather than a finished consumer hardware line.

Muse is designed to handle tasks such as booking travel, completing forms, and shopping on a user’s behalf. The gadget initiative extends those capabilities beyond a phone or computer, placing the agent in purpose-built displays, household objects, or other experimental interfaces. The Verge described the launch as a do-it-yourself route to Muse hardware, while TechCrunch framed it as a project aimed especially at tinkerers and hackers.

The initial examples point to simple, visible interfaces for Muse. A color E Ink display could show reminders, an HDMI stick could put the agent on a television or other large screen, and a small touchscreen could become a dedicated Muse terminal. These projects rely on the open firmware and Linux tools Meta is providing, allowing developers to adapt the experience to different screens, controls, and physical enclosures.

That approach gives Muse a broader physical footprint without requiring Meta to manufacture every device itself. Developers can test the agent in kitchens, offices, living rooms, or portable projects, then decide which interactions make sense for a particular setting. Meta’s open-source positioning also puts the software in the same conversation as its wider models-and-libraries work, although the available descriptions focus on the gadget layer rather than a newly released Muse model.

The hardware project matters because Muse is built to perform tasks, rather than simply answer prompts. Meta introduced the system as a personal AI agent for broad users, with actions that include travel booking, form completion, and shopping. Connecting those abilities to dedicated hardware turns the device into an access point for tasks that might otherwise require opening an app, typing a request, or navigating several screens.

That promise comes with practical constraints. An agent that acts on a person’s behalf needs clear controls, reliable authentication, and ways to show what it is doing before an action becomes consequential. Public descriptions of Muse have also acknowledged hiccups even as the agent has drawn attention for its capabilities. A custom gadget can make Muse easier to reach, but it also places more responsibility on the developer to handle privacy, permissions, connectivity, and failure states.

Open-sourcing the gadget code lowers the barrier to experimentation, but it doesn't make the full Muse experience independent of Meta. The devices still connect to Muse, so their usefulness depends on the agent’s service, account access, network connection, and operating rules. Developers receive building blocks for hardware integration, while Meta retains the central AI experience that interprets requests and carries out tasks.

This structure gives Meta a way to seed an ecosystem around Muse without committing to a single form factor. It also creates room for projects that are too niche, inexpensive, or unusual for a large consumer hardware launch. Meta’s broader open-source and developer messaging provides context for that strategy, while the gadget SDK makes the idea concrete through firmware and Linux support. The result is an experiment in distribution as much as a hardware toolkit.

Muse gadgets place Meta’s agent in competition for the physical access points where people interact with AI. A television display, tabletop screen, or small touchscreen can make an assistant part of a routine, increasing the number of moments when users encounter the service. That matters as major technology companies pursue agents that complete tasks across apps and online services.

Meta’s advantage is reach across consumer platforms and its willingness to distribute development tools openly. The tradeoff is that early projects will depend on community interest and the quality of the underlying agent. Coverage of Muse has characterized it as capable while also pointing to rough edges, meaning the first wave of gadgets will serve as a public test of reliability in real environments. Developers will determine whether custom hardware adds useful context or simply creates another screen for an assistant.

The next phase will be defined by developer experiments, not by a single official Muse appliance. Builders can use the SDK to create displays, television interfaces, touchscreens, and other devices, then expose where Muse works well and where the agent struggles. Their projects will also reveal which physical interactions are worth keeping when voice, screens, and automated actions meet in one product.

For Meta, the project offers a relatively low-cost way to place Muse in more settings while gathering feedback from people who build outside the company’s product teams. For users, the immediate story is access to a toolkit, not a guaranteed retail device. The value of the release will depend on documentation, account and safety controls, service reliability, and whether developers find compelling uses beyond novelty projects.