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Meta Muse AI code open-source for DIY gadgets, showing a circuit board with glowing AI components.

Editorial illustration for Meta’s Muse AI code goes open-source for DIY gadgets

Meta's Muse AI Goes Open-Source for DIY Gadgets

• 4 min read

Meta is handing its Muse AI agent over to tinkerers. The company posted open source code that lets anyone wire the assistant into their own hardware instead of waiting for an official product. Meta's own examples include loading Muse onto a color E Ink display for reminders, strapping it to an HDMI stick to project the agent onto a television, or building a small touchscreen gadget that mimics the look of a dedicated Muse Charm device.

The code targets two common platforms: ESP32 boards, the cheap microcontrollers hobbyists already use for countless DIY projects, and Raspberry Pi, the credit-card-sized computer that's become a staple for home automation builds. Meta's SDKs are meant to bridge Muse to whatever displays, buttons, sensors, or actuators a builder has sitting on a workbench.

Alongside the open source release, Meta is also shipping a finished product of its own, the Muse Home Link, with 5,000 units manufactured according to Nat Friedman of Meta Superintelligence Labs. That device relies on community-built skills to carry out tasks around the house, giving a preview of what the open hardware ecosystem might eventually support at scale.

Meta now lets you make your own Muse gadgets that feature the company’s new AI agent with code that the company open sourced. The company suggests projects like loading Muse on a color E Ink display to show reminders, adding it to an HDMI stick so you can display Muse on a big screen, or putting Muse on a small touchscreen device to make what looks kind of like a DIY Muse Charm.

Why this matters

Meta handing over the Muse code is a bet that hobbyists will do the product work its own hardware teams haven't finished. A Raspberry Pi with Muse bolted on, or an E Ink display showing reminders, isn't a shipped device, it's a prototype Meta doesn't have to fund or support. For developers, that's an actual opportunity: cheap access to Meta's AI agent on whatever screen or chip you have lying around, no partnership deal required.

For founders, it's worth watching what people actually build. If someone comes up with the obvious Muse Charm clone or a smarter reminder display, Meta learns what's worth productizing without spending on R&D. The risk sits with the builders.

Open source code with no stated support commitment means breaking changes, dead-end APIs, or a company losing interest once Meta decides what shape Muse hardware should take. We'd treat this as Meta crowdsourcing market research, not as a signal it's serious about open hardware. Worth tracking which DIY projects get traction and whether Meta responds by investing in them or just watching from the sidelines.

Common Questions Answered

What hardware platforms does Meta's open-source Muse AI code support?

Meta's Muse AI code targets two common platforms: ESP32 boards and Raspberry Pi devices. These accessible hardware options allow developers and hobbyists to implement the Muse AI agent on various DIY gadgets without requiring specialized or expensive components.

What are some example projects Meta suggests for building custom Muse devices?

Meta provides several project examples including loading Muse onto a color E Ink display for reminders, attaching it to an HDMI stick to project the agent onto a television, and building a small touchscreen gadget that mimics the official Muse Charm device. These examples demonstrate the flexibility of the open-source code for different use cases and display types.

Why is Meta releasing Muse AI code as open source instead of developing official hardware?

Meta is leveraging hobbyists and developers to prototype and build Muse devices without having to fund or support the development itself. By open-sourcing the code, Meta can gather insights into how people use the AI agent on different hardware while avoiding the costs and resources required to complete its own hardware development.

What advantages does open-sourcing Muse provide to developers compared to waiting for official products?

Developers gain cheap and immediate access to Meta's AI agent without requiring partnership deals or official approval from the company. They can experiment with Muse on whatever existing hardware they have available, enabling rapid prototyping and innovation without the barriers of traditional product launches.

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