Espressif Developer Portal

FOFOCA is an open-source reference design for an AI-governed household robot, built around a Raspberry Pi 5 brain, an ESP32 for real-time motor control and sensor polling, and an ESP32-C3 driving an OLED status display over MQTT. This article walks through the hardware architecture, the firmware running on each Espressif chip, and how all of it connects to a local edge AI server running NVIDIA Nemotron Nano 8B for inference — no cloud dependency required.

A look at the Espressif Installation Manager (EIM) integration in the ESP-IDF Extension for VS Code, and a roundup of all major improvements across v1.10.x, v1.11.x, v2.0.2, and v2.1.0.

This article introduces the redesigned ESP-Brookesia v0.7 architecture, from Utils, HAL, and General Service to AI Agent and AI Expression. It explains how these modules fit together and highlights two examples that help you quickly understand how to build AIoT interaction products on top of the framework.

ESP-IDF v6.0 introduces the Tools local MCP server, a feature that lets AI clients like Cursor and Claude Code control your projects – setting targets, building, flashing, and checking status. This article explains how it works and walks you through setup step by step.

When an ESP-IDF project uses ExternalProject_Add(), compiler options driven by Kconfig and components do not flow into the nested build on their own. This post walks through why that happens and how to keep the outer and inner CMake worlds aligned.

AI assistants are most effective on ESP32 Rust firmware when you supply clear specs, pinned crates, reference implementations (often ESP-IDF C), and a tight verify loop. The article discusses good practices, pitfalls, discipline, and entropy. A brief explanation about the device is also included, along with the repository and all artifacts.