小鹏 a9413e2d45 otto更新V2分区使用官方gif管理器 (#1359)
* otto v1.4.0 MCP

1.使用MCP协议控制机器人
2.gif继承lcdDisplay,避免修改lcdDisplay

* otto v1.4.1 gif as components

gif as components

* electronBot v1.1.0 mcp

1.增加electronBot支持
2.mcp协议
3.gif 作为组件
4.display子类

* 规范代码

1.规范代码
2.修复切换主题死机bug

* fix(ota): 修复 ottoRobot和electronBot OTA 升级崩溃问题 bug

* 1.增加robot舵机初始位置校准
2.fix(mcp_sever) 超出范围异常捕获类型  bug

* refactor: Update Electron and Otto emoji display implementations

- Removed GIF selection from Kconfig for Electron and Otto boards.
- Updated Electron and Otto bot versions to 2.0.4 in their respective config files.
- Refactored emoji display classes to utilize EmojiCollection for managing emojis.
- Enhanced chat label setup and status display functionality in both classes.
- Cleaned up unused code and improved initialization logging for emoji displays.

* Rename OTTO_ICON_FONT.c to otto_icon_font.c

* Rename OTTO_ICON_FONT.c to otto_icon_font.c
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An MCP-based Chatbot

(English | 中文 | 日本語)

Introduction

👉 Human: Give AI a camera vs AI: Instantly finds out the owner hasn't washed hair for three days【bilibili】

👉 Handcraft your AI girlfriend, beginner's guide【bilibili】

As a voice interaction entry, the XiaoZhi AI chatbot leverages the AI capabilities of large models like Qwen / DeepSeek, and achieves multi-terminal control via the MCP protocol.

Control everything via MCP

Version Notes

The current v2 version is incompatible with the v1 partition table, so it is not possible to upgrade from v1 to v2 via OTA. For partition table details, see partitions/v2/README.md.

All hardware running v1 can be upgraded to v2 by manually flashing the firmware.

The stable version of v1 is 1.9.2. You can switch to v1 by running git checkout v1. The v1 branch will be maintained until February 2026.

Features Implemented

  • Wi-Fi / ML307 Cat.1 4G
  • Offline voice wake-up ESP-SR
  • Supports two communication protocols (Websocket or MQTT+UDP)
  • Uses OPUS audio codec
  • Voice interaction based on streaming ASR + LLM + TTS architecture
  • Speaker recognition, identifies the current speaker 3D Speaker
  • OLED / LCD display, supports emoji display
  • Battery display and power management
  • Multi-language support (Chinese, English, Japanese)
  • Supports ESP32-C3, ESP32-S3, ESP32-P4 chip platforms
  • Device-side MCP for device control (Speaker, LED, Servo, GPIO, etc.)
  • Cloud-side MCP to extend large model capabilities (smart home control, PC desktop operation, knowledge search, email, etc.)
  • Customizable wake words, fonts, emojis, and chat backgrounds with online web-based editing (Custom Assets Generator)

Hardware

Breadboard DIY Practice

See the Feishu document tutorial:

👉 "XiaoZhi AI Chatbot Encyclopedia"

Breadboard demo:

Breadboard Demo

Supports 70+ Open Source Hardware (Partial List)

Software

Firmware Flashing

For beginners, it is recommended to use the firmware that can be flashed without setting up a development environment.

The firmware connects to the official xiaozhi.me server by default. Personal users can register an account to use the Qwen real-time model for free.

👉 Beginner's Firmware Flashing Guide

Development Environment

  • Cursor or VSCode
  • Install ESP-IDF plugin, select SDK version 5.4 or above
  • Linux is better than Windows for faster compilation and fewer driver issues
  • This project uses Google C++ code style, please ensure compliance when submitting code

Developer Documentation

Large Model Configuration

If you already have a XiaoZhi AI chatbot device and have connected to the official server, you can log in to the xiaozhi.me console for configuration.

👉 Backend Operation Video Tutorial (Old Interface)

For server deployment on personal computers, refer to the following open-source projects:

Other client projects using the XiaoZhi communication protocol:

Custom Assets Tools:

About the Project

This is an open-source ESP32 project, released under the MIT license, allowing anyone to use it for free, including for commercial purposes.

We hope this project helps everyone understand AI hardware development and apply rapidly evolving large language models to real hardware devices.

If you have any ideas or suggestions, please feel free to raise Issues or join the QQ group: 1011329060

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