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Espressif Developer Portal

“Welcome to the Espressif Systems Developer Portal—your official hub for all good things, such as the ESP32 and more. Explore our extensive collection of articles, workshops, and tutorials to enhance your development journey with the latest tools and insights.”

Featured Articles#

Inside the New ESP-Brookesia v0.7 Architecture

Inside the New ESP-Brookesia v0.7 Architecture

··8 mins
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-WHO: Get started

ESP-WHO: Get started

·7 mins
In this article, we will set up ESP-WHO on the ESP32-S3-EYE board, running a face recognition example, and extending it with custom detection callbacks.


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Workshop Highlights
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Dive into our latest workshops and master the skills you need to maximize the power of the ESP32.

ESP-IDF Workshop: Advanced

ESP-IDF Workshop: Advanced

··4 mins
This workshop covers the advanced features of ESP-IDF and focuses on modular development, the event loop, core dumps, size analysis, and flash encryption.

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Upcoming Events
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Recent

Introducing the esp_trace component

Introducing the esp_trace component

esp_trace is a new ESP-IDF component that splits application-level tracing into pluggable encoders and transports, so adding a new trace library no longer means patching the kernel. This post gives a high-level tour and walks through the example that demonstrates the integration.
ESP-WHO: Get started

ESP-WHO: Get started

·7 mins
In this article, we will set up ESP-WHO on the ESP32-S3-EYE board, running a face recognition example, and extending it with custom detection callbacks.
Building FOFOCA: An Open-Source AI Robot with ESP32, ESP32-C3, and Edge AI

Building FOFOCA: An Open-Source AI Robot with ESP32, ESP32-C3, and Edge AI

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.