ESP-Claw

Espressif released ESP-Claw, a chat coding AI agent framework for IoT devices that runs locally on ESP32-series chips, enabling devices to sense, decide, and execute via conversation. The framework supports ESP32-S3, ESP32-P4, ESP32-C5, and ESP32-S31 boards, with online flashing in the browser, and integrates with OpenAI, Anthropic, Alibaba Cloud Bailian, and DeepSeek APIs, plus Telegram, QQ, Feishu, and WeChat.

Home https://esp-claw.com/en/ | Docs https://esp-claw.com/en/tutorial/ | Online Flashing https://esp-claw.com/en/flash/ | Build from Source https://esp-claw.com/en/reference-project/build-from-source/ | 简体中文 /espressif/esp-claw/blob/master/README CN.md ESP-Claw is Espressif's Chat Coding AI agent framework for IoT devices. It defines device behavior through conversation and completes the full loop of sensing, decision-making, and execution locally on Espressif chips. Inspired by the OpenClaw concept and reimplemented in C, ESP-Claw is lightweight, intelligent, and continuously evolving. With just an ESP32-series chip that costs only a few dollars, you can experience what makes ESP-Claw so nimble. Traditional IoT usually stops at connectivity: devices can connect to the network, but they cannot think; they can execute commands, but they cannot make decisions. ESP-Claw brings the Agent Runtime down onto Espressif chips, turning them from passive executors into active decision-making centers. 💬 Chat as Creation | ⚙️ Event Driven | |---|---| | IM chat + dynamic Lua loading Ordinary users can define device behavior without programming | Any event can trigger the Agent Loop and more Response can be as fast as milliseconds | chat-coding-en.webm | event-en.webm | 🧬 Structured Memory | 📤 MCP Communication | | Organize memories in a structured way Privacy stays off the cloud | Supports standard MCP devices Works as both Server and Client | memory-en.webm | mcp-en.webm | 🧰 Ready Out of the Box | 🧩 Component Extensibility | | Quick setup with Board Manager Supports one-click flashing | Every module can be trimmed as needed You can also add your own component integrations | ESP-Claw now supports a wide range of development boards based on ESP32-S3, ESP32-P4, ESP32-C5, and ESP32-S31, including breadboards, M5Stack CoreS3, and many others. Supported boards in ./application/edge agent/boards/ /espressif/esp-claw/blob/master/application/edge agent/boards can be flashed online directly: configuration and flashing are done entirely in the browser, with no need to compile firmware locally or install a development environment first. You can also build ESP-Claw locally. Please refer to the local build documentation https://esp-claw.com/en/tutorial/ for board adaptation, building, and flashing. Boards not listed above, as well as chips like the ESP32-P4, can also be supported through local builds and flashing. You can find practical examples in our documentation https://esp-claw.com/en/tutorial/ . LLM : ESP-Claw now supports both OpenAI-style APIs and Anthropic-style APIs. It natively supports GPT models from OpenAI, Qwen models from Alibaba Cloud Bailian, Claude models from Anthropic, DeepSeek models from DeepSeek API, and also supports custom endpoints. Tip ESP-Claw's self-programming capability depends on models with strong tool use and instruction-following ability. We recommend gpt-5.4 , qwen3.6-plus , claude4.6-sonnet , deepseek-v4-pro or models with comparable capability. IM : ESP-Claw supports Telegram, QQ, Feishu, and WeChat, and can be extended further. ESP-Claw is still under active development. Feel free to open an issue to report problems or request features. You can also share your ideas through our online survey in Chinese https://fcn5wbhnyubf.feishu.cn/share/base/form/shrcndYcjbGFY1ymttTSyYoGIPh . Click here to view our TODO List in Chinese https://fcn5wbhnyubf.feishu.cn/wiki/SRlgwWUYei4WmykU8uMcUtzTnFf?table=tblWSgzWcyW7jv7B&view=vewaP9B0KX and vote for the features or issues you care about. That helps us prioritize them sooner. If this project helps you, please consider giving it a star. ⭐⭐⭐⭐⭐ Inspired by OpenClaw https://github.com/openclaw/openclaw . The implementation of Agent Loop, IM communication, and related capabilities on ESP32 also draws on MimiClaw https://github.com/memovai/mimiclaw .