Espressif Systems has introduced the ESP-Claw framework, designed to enable ESP32 devices to function as local AI agents. The framework allows hardware to interact with Large Language Models (LLMs) to make decisions and execute actions locally without requiring constant cloud connectivity. It supports natural language conversation for defining device behavior through chat coding and utilizes Lua scripts for deterministic execution.
Key features include:
- Local event bus driving millisecond-latency responses via Lua rules.
- MCP Server and Client capabilities for hardware exposure and external service calling.
- On-chip private memory for long-term context retention without data leaving the device.
- Support for various messaging platforms including Telegram, WeChat, and Feishu.
- Compatibility with LLMs such as OpenAI, Qwen, and ChatGPT.
- Current support for ESP32-S3 with upcoming support for ESP32-P4.
Key features include:
- Local event bus driving millisecond-latency responses via Lua rules.
- MCP Server and Client capabilities for hardware exposure and external service calling.
- On-chip private memory for long-term context retention without data leaving the device.
- Support for various messaging platforms including Telegram, WeChat, and Feishu.
- Compatibility with LLMs such as OpenAI, Qwen, and ChatGPT.
- Current support for ESP32-S3 with upcoming support for ESP32-P4.
A Macintosh Plus emulator port designed specifically for the Cheap-Yellow-Display (ESP32) board. This project utilizes umac and the Musashi 68k emulator to provide a functional vintage computing experience on modern low-cost hardware, featuring touchpad emulation for mouse control.
Key features include:
- Homebrew Macintosh applications built with Retro68 such as Weather, WiFi status, and CydCtl for hardware control.
- An IPC (Inter-Process Communication) interface between the Mac emulator and ESP32 via memory-mapped regions.
- Integration with Home Assistant through MQTT to display real-time weather data.
- Support for 240x320 LCD displays with touch capabilities.
Key features include:
- Homebrew Macintosh applications built with Retro68 such as Weather, WiFi status, and CydCtl for hardware control.
- An IPC (Inter-Process Communication) interface between the Mac emulator and ESP32 via memory-mapped regions.
- Integration with Home Assistant through MQTT to display real-time weather data.
- Support for 240x320 LCD displays with touch capabilities.
This repository provides a reference and example implementation for using the Bluetooth Low Energy (BLE) API to connect Claude desktop applications with external hardware devices. It is designed for makers and developers who want to build interactive physical companions, such as desk pets, that respond to Claude sessions through permission prompts, message notifications, and status updates.
Key features and details include:
- Support for ESP32 microcontrollers using the Arduino framework.
- An example implementation of a "desk pet" on M5StickC Plus hardware.
- Capabilities for displaying ASCII animations or custom GIF character packs via BLE.
- A wire protocol based on Nordic UART Service UUIDs and JSON schemas.
- Hardware interaction states such as sleep, idle, busy, attention (for approvals), celebrate, dizzy, and heart.
Key features and details include:
- Support for ESP32 microcontrollers using the Arduino framework.
- An example implementation of a "desk pet" on M5StickC Plus hardware.
- Capabilities for displaying ASCII animations or custom GIF character packs via BLE.
- A wire protocol based on Nordic UART Service UUIDs and JSON schemas.
- Hardware interaction states such as sleep, idle, busy, attention (for approvals), celebrate, dizzy, and heart.
NocKinematics is a modern, modular, and lightweight C++ Inverse Kinematics library designed specifically for Arduino and ESP32 microcontrollers. It utilizes the FABRIK (Forward And Backward Reaching Inverse Kinematics) algorithm to provide fast, iterative computations that are more efficient than traditional Jacobian Matrix approaches. The library is optimized for memory-constrained systems like AVR and ESP8266 by using specialized dynamic memory allocation to prevent RAM fragmentation.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
Key features and topics:
* N-Joint Support for arbitrary numbers of connected joints.
* Memory-optimized architecture avoiding heavy std::vector usage.
* Platform agnostic compatibility with Arduino Uno, Nano, Mega, ESP8266, and ESP32.
* Practical implementation examples ranging from basic logic verification to multi-DOF servo motor control.
* Support for complex mechanisms like snake or tentacle simulations via the MultiJointSnake example.
The author explores the potential of running an AI agent framework on low-cost hardware by testing MimiClaw, an OpenClaw-inspired assistant, on an ESP32-S3 microcontroller. Unlike traditional AI setups, MimiClaw operates without Node.js or Linux, requiring the user to flash custom firmware using the ESP-IDF framework. The setup integrates with Telegram for interaction and utilizes Anthropic and Tavily APIs for intelligence and web searching. Despite the technical hurdles of installation and potential API costs, the project successfully demonstrates a functional, sandboxed, and low-power personal assistant capable of persistent memory and routine tracking.
Flock-Detector 3.0, a specialized surveillance sniffing tool powered by the Seeed Studio XIAO ESP32-S3. This tool is engineered to identify and log various surveillance devices, including Flock Safety ALPR cameras and Raven gunshot detectors, in real-time..
This article provides a guide on building a DIY high-end Bluetooth speaker in only 30 minutes using an ESP32 and simple hobbyist components. Using a LILYGO T-Display board, which supports the Bluetooth Classic protocol required for A2DP audio streaming, the project pairs with a MAX98357A module to act as a digital-to-analog converter and amplifier. The setup uses the I2S interface for audio transmission and can even display track information and connection status on the onboard TFT screen. It is an excellent, quick project for electronics enthusiasts looking to repurpose spare parts into a functional, polished audio device.
DFRobot has launched the Fermion: BMV080, a low-cost air quality sensor module based on the Bosch BMV080. It provides fanless PM1, PM2.5, and PM10 sensing capabilities for $29.90. The sensor uses laser-based light-scattering technology and has a service life of up to 10 years. It measures particulate concentrations in a 0–1000 μg/m³ range with 1 μg/m³ resolution and supports I2C and SPI interfaces. It consumes about 70 mA in continuous measurement mode and 6 μA in sleep mode. The module also features a 35 cm obstruction zone for accurate readings. Schematics, component location diagrams, and 3D STEP files are available.
Program embedded devices with natural language. No firmware updates required. ScriptO Studio is a next-generation Integrated Development and Execution Environment (IDEE) for embedded devices running MicroPython.
PycoClaw brings full OpenClaw agent parity to embedded hardware — a MicroPython-powered AI agent that can run on a $5 microcontroller. It features one-click flashing, a full agent loop, hardware control, multi-channel chat, persistent memory, and ScriptOs skills.
