zclaw is a highly compact personal AI assistant framework designed to run on constrained embedded hardware such as the ESP32. The project focuses on delivering core assistant capabilities within an extremely small footprint, demonstrating how AI-driven automation can operate on microcontrollers. It includes support for GPIO control, scheduled tasks, memory handling, and other embedded automation features that enable real-world device interaction. The architecture is optimized for efficiency, allowing the full assistant stack to run in under one megabyte of space. By targeting low-power hardware, zclaw explores the future of edge AI assistants that operate independently of large cloud systems. Overall, the project showcases how lightweight autonomous assistants can be embedded directly into IoT devices.
Features
- Ultra-small embedded AI assistant runtime
- ESP32 microcontroller support
- GPIO hardware control
- Built-in cron scheduling
- Persistent memory handling
- Optimized low-footprint architecture