OpenClaw for the Rest of Us: The $5 MimiClaw Assistant
MimiClaw is an AI agent that runs on a $5 ESP32 board and delivers an OpenClaw-like experience, putting a private assistant in your pocket.
You know that Mac mini that has been sitting in your online shopping cart for the past week? Don’t pull the trigger on it just yet. You might not need to spend that much money to run an OpenClaw instance after all. A new AI assistant called MimiClaw was just released that gives an OpenClaw-like experience using much more modest hardware. MimiClaw was designed to run on microcontrollers that cost as little as $5.
The project is built to work with the ESP32-S3, a tiny Wi-Fi-enabled microcontroller. Instead of running Linux, Node.js, or a traditional operating system, MimiClaw operates almost entirely in compiled C code. It operates as a bare-metal AI agent—no background services, no containers, and no server humming away in a closet.
Despite the minimalist hardware, the assistant behaves like a full AI agent. Users communicate with it through Telegram: send a message, and the microcontroller fetches it over Wi-Fi, sends it to a large language model provider such as OpenAI or Anthropic, processes the response, and replies back automatically. The device maintains conversations, tracks sessions, and can even call tools during a discussion using a ReAct-style loop.
Instead of a database, everything is stored as readable text files on the board’s flash storage. Files like SOUL.md define the assistant’s personality, USER.md contains details about the owner, and MEMORY.md holds long-term knowledge. Daily logs and chat histories are also saved, allowing the assistant to “remember” across reboots without any external computer.
The system can also interact with the real world. Because it runs on a microcontroller, it has direct access to GPIO pins, meaning the AI can read sensors, toggle relays, or control devices. Optional web search and time-sync tools can be enabled, and a WebSocket gateway allows connections from other devices on a local network.
Setting it up is very straightforward. After installing Espressif’s ESP-IDF environment, users flash the firmware, enter Wi-Fi and API credentials, and the assistant comes online. Configuration can later be changed through a serial command-line interface, and firmware updates can be pushed over Wi-Fi.
The device consumes about half a watt and can run continuously from a USB cable, making it closer to an appliance than a computer. In a world where AI assistants typically require beefy GPUs, MimiClaw demonstrates a different philosophy: your AI lives on your own hardware, always on, always accessible, and small enough to fit in your pocket.
The source code has been released on GitHub under an MIT license.