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.
PycoClaw is an open-source platform for running AI agents on microcontrollers. It brings OpenClaw workspace-compatible intelligence to embedded devices costing under $5. Built on MicroPython, it supports multi-provider LLM routing, multi-channel chat, tool calling, extensions, over-the-air updates, and battery operation.
This article details the process of running a personal AI assistant on a low-cost microcontroller. It covers the use of Ollama for running large language models (LLMs) locally and MimicLaw for optimizing the model for resource-constrained devices. The author shares their experience with porting and running the models, along with the challenges and solutions encountered.
zclaw is a personal AI assistant running on an ESP32, backed by Anthropic, OpenAI, or OpenRouter. It allows for monitoring and control of connected devices via Telegram, scheduling tasks, and creating custom tools, all within an 888KB footprint.
A user has created a personal assistant using OpenClaw and a Raspberry Pi Zero 2W, utilizing ALSA for recording, OpenAI for transcription and TTS, and streaming responses to a gateway. The project highlights the flexibility of OpenClaw and potential for low-power alternatives like ePaper displays and ESP32.
This project details how to serve offline content (Wikipedia, etc.) from an ESP32 microcontroller, specifically using a LILYGO T-Dongle-S3. It covers the process from downloading ZIM files, processing them with Python scripts, transferring to an SD card, and loading a sketch onto the microcontroller to serve the content via a WiFi access point.
Instalator for ESP32 DataDisplay V1 project. Contains files for flashing and running the project on an ESP32.
This week in Python on Microcontrollers, we have the CircuitPython 10.1.0 release candidate, a new guide for AI on microcontrollers, and more!
