↓ Skip to main content
Developer Portal
EN

EN

CZ

This site is a preview for github.com/espressif/developer-portal/pull/743

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
ESP-Brookesia AI Agent HMI
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
Esp-Who Dl
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.


More Articles

Workshop Highlights
#

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.

More Workshops

Upcoming Events
#

No upcoming event.


More Events

Recent

Introducing the esp_trace component

Introducing the esp_trace component

·5 mins
ESP-IDF Tracing FreeRTOS Debugging
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
Esp-Who Dl
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.