Meta wants your next gadget to be Muse-infused

Meta Invites Developers to Build Custom Hardware for Its AI Agent

Meta is extending its Muse personal AI agent from the digital realm into the physical world with the launch of Muse Gadgets. The new open-source project provides firmware and a software development kit (SDK) to let developers and hobbyists build their own hardware that connects directly to Muse. This initiative aims to foster a community of tinkerers who can create tangible, AI-powered devices, significantly broadening the agent's utility beyond booking travel and filling out forms on a screen.

The company is providing the core components needed to start building immediately, demonstrating a commitment to making the platform accessible. To showcase the potential, Nat Friedman, head of product at Meta’s Superintelligence Labs, revealed the Muse Home Link, a USB-C device developed internally that connects Muse to a home network for controlling smart devices. The company produced and gave away 5,000 of these units to Muse subscribers. The open-source release includes:

• Open-source firmware for low-level device operation.
• A Linux software development kit (SDK) for integration.
• Compatibility with low-cost computers like Raspberry Pi and ESP32 boards.
• A dedicated Discord channel for community and developer support.

The launch of Muse Gadgets is a component of a larger, multi-faceted strategy to embed Muse across different market segments. It follows the recent introduction of Muse for Small Business, which integrates the agent with platforms like Shopify, Dropbox, and Slack. By simultaneously courting hardware developers, small businesses, and enterprise customers through its new Meta Enterprise Platform, Meta is working to establish Muse not just as a consumer-facing chatbot, but as a foundational platform for a wide array of AI-driven applications and devices.

By open-sourcing the hardware interface for its AI agent, Meta is executing a classic platform strategy. The goal is to build a developer ecosystem and create a moat around Muse that is based on hardware integration and community adoption, making it harder for competitors to displace it with a superior language model alone.