Imagine building your own AI voice assistant using an ESP32 development board with a touchscreen, microphone, speaker, and animated face. The open-source ESP32 Muse Agent project by JJ Englert shows makers how to turn compatible ESP32 hardware into a compact, interactive AI gadget powered by Meta’s Muse platform. It adds spoken responses, allowing you to talk to your assistant and hear its answers instead of relying only on text displayed on a screen.
JJenglert1/esp32-muse-agent · GitHub
What Is ESP32 Muse Agent?
ESP32 Muse Agent is an open-source hardware project designed for electronics enthusiasts, developers, and DIY makers who want to experiment with personal AI assistants. It combines an ESP32-based device with Meta’s Muse Gadget SDK to create a portable conversational assistant that responds to voice input and displays an animated character.
The project includes firmware modifications for compatible boards, setup scripts, and instructions for adding text-to-speech functionality using OpenAI’s speech API. Depending on the hardware you choose, you can build a small desk companion or a portable AI gadget that connects to Wi-Fi.
Key Features
- AI voice assistant: Ask questions using a physical talk button and receive spoken responses.
- Touchscreen interface: Display an animated face and interactive information on compatible screens.
- Open-source firmware: Explore and customize the software for your own projects.
- Portable design: Use compatible battery-powered ESP32 boards for a pocket-sized assistant.
- Customizable voice: Configure supported text-to-speech voices using the OpenAI API.
- DIY-friendly setup: Follow the repository’s installation instructions to configure, build, and flash the firmware.
These capabilities make the project an interesting starting point for exploring embedded systems, AI assistants, voice interfaces, and connected electronics.
Hardware Requirements
The repository recommends compatible ESP32 boards with the necessary processing resources and peripherals. Options include the Waveshare ESP32-S3-Touch-AMOLED-1.8 V2, M5Stack StickS3, and other supported devices. Check the project documentation before purchasing a board because hardware support and requirements vary.
You will also need a USB data cable, a macOS or Linux computer for the documented setup, a Muse account and SDK token, and Wi-Fi access. Spoken responses require an OpenAI API key and may incur additional usage charges.
How to Install ESP32 Muse Agent
Getting started involves installing Espressif’s ESP-IDF development environment, downloading the project, configuring your credentials, and flashing the firmware onto your selected board.
- Clone the repository:
git clone https://github.com/JJenglert1/esp32-muse-agent.git cd esp32-muse-agent - Run the setup script:
./scripts/setup.sh - Configure the device:
./scripts/configure.sh - Follow the repository instructions to build the firmware, flash the correct board configuration, and pair your gadget with the Muse mobile app.
Important: The project documents ESP-IDF v6.0.1 for its setup. Follow the current README carefully, back up existing device firmware before erasing flash, and keep your SDK token and API key private.
JJenglert1/esp32-muse-agent · GitHub
Why This Project Is Worth Exploring
ESP32 Muse Agent demonstrates how affordable embedded hardware can become a platform for experimenting with conversational AI. It offers a practical learning opportunity for electronics hobbyists, IoT developers, students, and robotics enthusiasts interested in connecting physical devices with AI services.
You could use the project as inspiration for a desktop AI companion, a voice-controlled information assistant, or a foundation for future smart-home experiments. Since the system relies on online services for its AI capabilities, it is not a completely offline AI assistant.
Final Thoughts
The ESP32 Muse Agent is an exciting open-source project for anyone interested in combining ESP32 hardware, voice interaction, and artificial intelligence. With compatible hardware and the right software configuration, you can build a small AI gadget that listens, responds aloud, and brings a little personality to your electronics workbench.
Ready to build your own AI assistant?
Explore the complete source code and setup guide on GitHub:
Project link: https://github.com/JJenglert1/esp32-muse-agent