DeepSeek for Appliances and Smart Home — the five layers you actually need
Connecting speakers, Raspberry Pi, ESP32 boards and Home Assistant to DeepSeek. The real ecosystem here was built by Xiaomi/Tuya/ESP32 developers, not by appliance makers.
Models
0
Toolchain
38
Reference impls
44
Hardware
27
1. Models
No dedicated model found for this field yet. Use the general quantized models.
2. Toolchain
| Project | ★ | What it does |
|---|---|---|
| GCMP | 465 | 通过集成国内主流原生大模型提供商，为开发者提供更加丰富、更适合本土需求的 AI 编程助手选择。 目前已内置支持 智谱AI、MiniMax、MoonshotAI、DeepSeek、阿 |
| codex-bridge | 261 | Zero-dependency local proxy bridging Codex CLI to DeepSeek, Xiaomi MiMo, and OpenAI |
| mesh-api | 185 | MESH-API — Off-Grid AI & API Router & with MCP server & over 30 API extensions for Meshta |
| ARIES | 102 | 顺便一提，我们支持 RWKV | 「Intel 2025 人工智能创新大赛」🚀AutoOPS: Provide the chaos brought by language mode |
| ha-text-ai | 85 | Cutting-edge AI solution for Home Assistant. Multi-LLM provider support to transform your |
| OmniProxy | 79 | 本地 AI API 令牌调度、额度观测与桌面代理网关，支持多账号、多厂商、失败重试、请求历史和系统托盘常驻。 Local AI API token scheduler, quota |
| HASS-AI-Orchestrator | 58 | An autonomous multi-agent orchestration system for Home Assistant. Features local LLM cont |
| Homeassistant-Deepseek-Integration | 27 | Home Assistant DeepSeek integration. Assist voice/chat agent, HACS, tools, reasoning. Cust |
| ha-deepseek-integration | 17 | This custom integration for Home Assistant allows you to interact with DeepSeek AI models |
| deepseek-ha-integration | 17 | Community Home Assistant integration for the DeepSeek AI API — conversation agent + deepse |
3. Reference implementations
| Project | ★ | What it does |
|---|---|---|
| DeepCamera | 3,133 | Open-Source AI Camera Skills Platform, AI NVR & CCTV Surveillance. Local VLM video analysi |
| xiaomi_ai_llm | 56 | 让旧款小爱音箱直连 DeepSeek 等大模型，家电仍由小爱原生控制，支持免唤醒追问。Hack a Xiaomi AI speaker to talk to LLMs while |
| zbot | 35 | I’m zbot 🦞, an embedded AI agent running on Zephyr RTOS across multiple hardware platforms |
| quota-viewer | 11 | Floating-ball desktop monitor for AI platform quotas — 10 platforms: Kimi, Xfyun, OpenCode |
| ha-dsh-addon | 9 | DeepSeek Harness Home Assistant Addon |
| home-assistant-va | 9 | Code for Updating a DeepSeek AI Speaker to Make It a Local Voice Assistant |
| dsh-smarthome | 6 | Home Assistant control for DeepSeek Harness agents — approval-gated lights, switches, clim |
| dsh-mimo-agent-tools | 6 | Xiaomi MiMo search + multimodal tools for DeepSeek Harness agents: mimo_search/vision/audi |
| spell | 5 | AI command palette for your terminal. OpenAI, Anthropic, Ollama, DeepSeek, Kimi, Xiaomi Mi |
| dsh-ha-ingress-auth | 2 | DeepSeek Harness app for Home Assistant OS using Ingress for auth |
4. Hardware
What runs on what. These are working examples, not vendor claims.
| Project | ★ | Hardware target |
|---|---|---|
| TuyaOpen | 1,922 | Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more – Fast IoT and AI Agent hardware i |
| ZeroClaw-Android | 308 | Run AI agents 24/7 on your Android phone. Native Rust core, 25+ providers (OpenAI, Claude, |
| PI-Assistant | 270 | 基于树莓派和GPT实现的多功能语音家庭助手 A multifunctional voice home assistant based on Raspberry Pi and GPT |
| ESP32_AI_Connect | 43 | ESP32_AI_Connect is an Arduino library that enables seamless integration between ESP32 and |
| xiaoai-deepseek-lx04 | 23 | XiaoSeek LX04: 在小爱触屏音箱上运行 DeepSeek 问答与联网搜索，保留天气、穿衣建议和米家控制。完整源码、启动改造脚本与实机技术报告。 |
| edgesentinel-visionops | 21 | Jetson Nano edge AI vision Agent Harness: real-time video analytics, MCP tools, event evid |
| deeppulse | 7 | 深脉 DeepPulse：可解释的 A 股情绪周期金融工作台，可独立运行、联动 DeepSeek，并扩展到 ESP32 墨水屏硬件 |
| AiUsage | 6 | Mobile-first, local-first usage monitor for OpenAI Codex, DeepSeek, and Xiaomi MiMo. Andro |
| VENUS | 4 | Project VENUS: A 100% offline, privacy-first voice assistant ecosystem bridging ESP32, Loc |
| Intelligent-Agrometeorological-Monitorin | 4 | Edge-AI weather forecasting on RK3588. XGBoost predicts temperature, precipitation and sto |
5. Pitfalls
- Offline capability is a hard requirement. Users will not accept an appliance that dies when the network does — keep a local small model as fallback.
- Latency decides the experience. Cloud API round-trips start at 500ms; voice wake scenarios need local ASR and a short path.
- Home Assistant integrations that only work through the UI (not YAML) are a common trap.
- ESP32 has a few hundred KB of RAM — it cannot run a model, only do end-cloud coordination.
- Flashing old speakers risks bricking them. Only MDZ-25-DA has solid community validation.