Meta wants your next gadget to be Muse-infused
Meta introduced Muse Gadgets on Friday, an open-source project that provides firmware and a Linux SDK so developers can build hardware connecting to its Muse personal AI agent, with project ideas incl…
Meta introduced Muse Gadgets on Friday, an open-source project that provides firmware and a Linux SDK so developers can build hardware connecting to its Muse personal AI agent, with project ideas incl…
Meta open sourced a Muse Gadget SDK on GitHub that lets developers program off-the-shelf ESP32 boards or Raspberry Pi devices to connect the company's Muse AI agent to displays, buttons, sensors, and …
Nat Friedman introduced Muse Gadgets, an open-source hardware project that connects Meta's Muse personal AI agent to custom devices built on ESP32 boards or Linux computers, alongside the Muse Home Li…
Jayesh Nawani built a DIY voice assistant that runs entirely on an ESP32, using an I2S microphone to capture speech that is packaged as a WAV file and sent to the OpenAI Whisper API for transcription,…
ASPARK, a new Claude Code plugin from developer a-lottes, installs an agile AI product team — Product Owner, Engineering Manager, Developer, Reviewer, QA Tester, and Release Manager — directly into a …
A developer built a weather, news, and air-quality display using a LILYGO T5 4.7-inch e-Paper module powered by an ESP32 dual-core Xtensa LX6 at 240 MHz, writing the code with Claude Code. The device …
Developer ryandrake08 published a Show HN project called Smart Mouth Billy Bass, a local-only LLM assistant built into a Big Mouth Billy Bass toy, with code, schematic, and PCB layout on GitHub. The p…
A developer is asking why microcontrollers such as Arduino, ESP8266, and ESP32 remain necessary when computers and smartphones grow more powerful each year, noting that most embedded and IoT applicati…
Hackaday reports that maker brenpoly built 'Polymo,' a Tamagotchi-style virtual pet that only stays alive if the user puts down their phone, using an ESP32 in a 3D-printed case and a local LLM on the …
WiSense v0.1.0, an open-source Python library for WiFi-based human sensing using Channel State Information (CSI), has been released on GitHub by developer collabray, enabling presence detection, fall …
A developer building an AI-native PCB editor tested Claude's ability to design a circuit board and found that while the model could suggest a sensible regulator topology and netlist, it failed at comp…
Roboflow published a guide to building a fully local autonomous defect detection system using a webcam, its RF-DETR model, and a Hiwonder MaxArm robot arm, which spots drilled holes and scratches on w…
A developer wired seven ESP32 microcontrollers together to run a roughly 0.4-billion-parameter large language model, demonstrating that low-cost hardware can execute small neural networks. The project…
An information technology student detailed a hands-on journey through hackathons, cloud computing, and AI, including building a real-time campus bus tracking solution and exploring generative AI tools…
NanoForgeFlow released nff, an open-source MCP server that lets coding agents like Claude directly control ESP32-class hardware, enabling autonomous firmware development, over-the-air deployment, and …
MicroPipe, a dependency-free Python re-implementation of the Pipe language core, now runs on a $5 ESP32 microcontroller, verified against the real pipe v0.9.4 binary. It supports ~59 curated builtins,…
Docker and Docker Sandboxes can solve ESP32 firmware development reproducibility and enable safe AI coding agent sessions, according to a technical guide. The official espressif/idf Docker image provi…
GDG Basilicata organized DevFest Basilicata, rebranded as DevForest, in a forest in Tito, Italy, where 66 developers collaborated to build a smart greenhouse. The event featured technical interdepende…
Pmalfa31 developed a tomato grading system using an ESP32 and machine learning that sorts standard and cherry tomatoes by color and size, with a web simulator available for testing. The system uses tw…
Josh Millar of Imperial College London led an article published in GetMobile benchmarking micro-NPUs, ultra-low-power neural network accelerators found in low-cost chips such as ESP32-based boards and…