Meta has made the code for its Muse AI agent open source, inviting tech enthusiasts to create their own smart gadgets using devices like ESP32 boards or Raspberry Pi. The company also offers a community-driven Muse Home Link gadget designed to control smart home functions.
- Open source Muse AI code launched by Meta
- Custom gadgets can use inexpensive hardware like ESP32 or Raspberry Pi
- Meta offers a Muse Home Link device for smart home control
What happened
Meta has made the code for its Muse AI agent publicly available as an open source project, allowing users to build personalized AI-driven gadgets. Developers can program off-the-shelf hardware such as ESP32 microcontrollers or Raspberry Pi computers to run Muse, connecting it to screens, sensors, and various controls from their own parts collections.
The company also created and is distributing a standalone gadget called Muse Home Link. It leverages user-created AI skills enabling functions like switching lights on and off, controlling televisions, and sending documents to printers. Meta produced 5,000 units with a waitlist now open for shipping preparations.
Why it matters
By open sourcing Muse, Meta is encouraging a DIY AI ecosystem where enthusiasts experiment with voice and smart automation outside traditional consumer devices. This move fosters greater innovation and flexible integrations in personalized home automation and digital assistant use cases.
The approach lowers barriers to entry by using inexpensive, widely accessible hardware platforms and community collaboration. Additionally, the Muse Home Link demonstration device serves as an inspiration and practical starting point for developers looking to bring AI control capabilities into their environments.
What to watch next
The response from the developer and maker communities will be key to how widely Muse gadgets proliferate and evolve. Tracking new projects that emerge from the open source code and aftermarket modifications will illustrate Muse’s potential as a flexible AI interface platform.
Further updates from Meta regarding additional device releases, software features, and expanded AI skill libraries could significantly impact the adoption and capabilities of these customizable Muse-powered systems.