Meta releases open-source code for DIY Muse AI devices
Meta has open-sourced the code and software development kits for its Muse AI agent, allowing developers to build custom hardware gadgets that integrate the assistant into physical devices.

Meta has released open-source code and software development kits (SDKs) designed to help developers integrate its Muse artificial intelligence agent into custom hardware. The release enables makers to program off-the-shelf ESP32 microcontrollers or set up Raspberry Pi single-board computers to connect the AI assistant to various physical components. Developers can link Muse to displays, buttons, sensors, actuators, and other workbench electronics to create bespoke physical interfaces.
The company highlighted several potential DIY projects for the new code, such as loading Muse onto a color E Ink display to show reminders, installing it on an HDMI stick to project the agent onto a television, or building a small touchscreen device resembling a DIY Muse Charm. While encouraging experimentation, Meta also issued a lighthearted warning to hardware hackers, advising them to "proceed at your own risk" when assembling their custom setups.
Alongside the code release, Meta is giving away a pre-built hardware device called the Muse Home Link. According to Nat Friedman of Meta Superintelligence Labs, the company manufactured 5,000 of these gadgets, which will ship sometime this month. Interested users can currently join a waitlist to claim one. The Muse Home Link relies on community-built skills to interact with smart home environments, allowing the AI agent to perform tasks like turning on lights, controlling televisions, or sending documents to a printer.
For hardware developers and IoT enthusiasts, this open-source release lowers the barrier to embedding conversational AI into physical prototypes. By providing official SDKs for widely used platforms like the ESP32 and Raspberry Pi, Meta is fostering a decentralized ecosystem of community-driven hardware integrations. This move allows developers to bypass proprietary smart-home ecosystems and build highly customized, localized AI interfaces tailored to specific user needs.
This is our own summary of reporting by The Verge AI



