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Phase 9 三轮增量优化（jitter buffer / codec init / Core 1 绑定）效果不 明显，用户决策完整切 EAF 验证 GIF 抢资源假设。 Phase 9 → CANCELLED： - v1 jitter buffer device_state 判错（漏 kDeviceStateDialog） - v1 ES7210 重试破坏 ES8311 init 导致开机播报无声 - v2 修正 device_state 后 jitter 工作但仍卡 - v3 background_task 绑 Core 1 + DIAG-5 未硬件验证 - 所有代码改动 git restore 回滚（无 commit），Phase 8 DIAG 埋点保留 - CANCELLED.md 记录教训 Phase 10 新增（数字人模式 LVGL → esp_emote_gfx 完整切换）： - 添加 espressif2022/esp_emote_gfx ~3.0.5 依赖（已 reconfigure 拉取） - API 风险扫清：GFX_LABEL_LONG_WRAP 支持中文换行、 gfx_font_lv_load_from_binary 兼容 LVGL bitmap font - 双轨编译：CONFIG_BAJI_BADGE_MODE=y 保 LVGL，=n 走 EAF - PLAN.md 含 10 个子任务从依赖到完整 UI 切换 - 预估 3-5 天 Phase 11 占位：LVGL 释放的 ~40KB DRAM + ~80KB PSRAM 投到 WiFi 缓冲扩容（STATIC_RX 10→16、DYN_RX/TX 32→48、RX_BA_WIN 6→16）+ Opus/RTC SDK jitter buffer 扩容 Phase 12 占位：原 Phase 10 集成测试 + 推送，重编号 ROADMAP 同步更新，依赖关系矫正。 Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
XiaoZhi AI Chatbot
Introduction
👉 Build your AI chat companion with ESP32+SenseVoice+Qwen72B!【bilibili】
👉 Equipping XiaoZhi with DeepSeek's smart brain【bilibili】
👉 Build your own AI companion, a beginner's guide【bilibili】
Project Purpose
This is an open-source project released under the MIT license, allowing anyone to use it freely, including for commercial purposes.
Through this project, we aim to help more people get started with AI hardware development and understand how to implement rapidly evolving large language models in actual hardware devices. Whether you're a student interested in AI or a developer exploring new technologies, this project offers valuable learning experiences.
Everyone is welcome to participate in the project's development and improvement. If you have any ideas or suggestions, please feel free to raise an Issue or join the chat group.
Learning & Discussion QQ Group: 376893254
Implemented Features
- Wi-Fi / ML307 Cat.1 4G
- BOOT button wake-up and interruption, supporting both click and long-press triggers
- Offline voice wake-up ESP-SR
- Streaming voice dialogue (WebSocket or UDP protocol)
- Support for 5 languages: Mandarin, Cantonese, English, Japanese, Korean SenseVoice
- Voice print recognition to identify who's calling AI's name 3D Speaker
- Large model TTS (Volcano Engine or CosyVoice)
- Large Language Models (Qwen, DeepSeek, Doubao)
- Configurable prompts and voice tones (custom characters)
- Short-term memory, self-summarizing after each conversation round
- OLED / LCD display showing signal strength or conversation content
- Support for LCD image expressions
- Multi-language support (Chinese, English)
Hardware Section
Breadboard DIY Practice
See the Feishu document tutorial:
👉 XiaoZhi AI Chatbot Encyclopedia
Breadboard demonstration:
Supported Open Source Hardware
- LiChuang ESP32-S3 Development Board
- Espressif ESP32-S3-BOX3
- M5Stack CoreS3
- AtomS3R + Echo Base
- AtomMatrix + Echo Base
- Magic Button 2.4
- Waveshare ESP32-S3-Touch-AMOLED-1.8
- LILYGO T-Circle-S3
- XiaGe Mini C3
- Moji XiaoZhi AI Derivative Version
- CuiCan AI pendant
- WMnologo-Xingzhi-1.54TFT
- SenseCAP Watcher
Firmware Section
Flashing Without Development Environment
For beginners, it's recommended to first use the firmware that can be flashed without setting up a development environment.
The firmware connects to the official xiaozhi.me server by default. Currently, personal users can register an account to use the Qwen real-time model for free.
👉 Flash Firmware Guide (No IDF Environment)
Development Environment
- Cursor or VSCode
- Install ESP-IDF plugin, select SDK version 5.3 or above
- Linux is preferred over Windows for faster compilation and fewer driver issues
- Use Google C++ code style, ensure compliance when submitting code
Developer Documentation
- Board Customization Guide - Learn how to create custom board adaptations for XiaoZhi
- IoT Control Module - Understand how to control IoT devices through AI voice commands
AI Agent Configuration
If you already have a XiaoZhi AI chatbot device, you can configure it through the xiaozhi.me console.
👉 Backend Operation Tutorial (Old Interface)
Technical Principles and Private Deployment
👉 Detailed WebSocket Communication Protocol Documentation
For server deployment on personal computers, refer to another MIT-licensed project xiaozhi-esp32-server