Meta is expanding the reach of its AI agent, Muse, by launching Muse Gadgets, an open source project that enables developers and hobbyists to create their own hardware integrated with Muse. The company is providing firmware and a Linux software development kit, plus project ideas like adding color e-ink displays or creating HDMI sticks to connect Muse to TVs. Makers can use affordable devices like Raspberry Pi or ESP32 boards to build custom gadgets that interact with buttons, sensors, and other accessories. Meta also offers community support through a Discord channel.

Already, Meta has demonstrated its own Muse hardware with the Muse Home Link, a USB-C device that connects Muse to home networks and communicates with smart devices such as speakers and TVs. Meta produced 5,000 units of Home Link and distributed them free to Muse subscribers while supplies last. This move indicates Meta’s intention to embed Muse beyond its mobile app, transforming it into a versatile AI assistant with broader device integration for consumers and perhaps enterprise users.

Meta is aggressively pushing Muse not just to consumers but to small businesses and larger enterprises, recently introducing Muse for Small Business which integrates with platforms like Shopify, Dropbox, and Slack. The company has also launched Meta Enterprise Platform to commercialize AI offerings. With Muse now available as a dedicated iPad app just a month after its initial mobile launch, the service has quickly amassed millions of installs, extending its utility as a multifunctional assistant capable of managing email, scheduling, online shopping, and more.

Despite Muse’s rapid growth, AI agents like Muse face challenges gaining access to websites due to anti-bot measures and deliberate blocking by some e-commerce platforms including Amazon. To address this, Meta and industry partners are developing an open standard to help AI agents identify themselves as authorized personal assistants to websites, distinguishing them from malicious bots. This initiative aims to improve AI agent usability, ensuring smoother commerce experiences while maintaining security and user trust.