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

Project Samples

Project Activity

See All Activity >

Categories

AI Assistants

License

MIT License

Follow zclaw

zclaw Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of zclaw!

Additional Project Details

Operating Systems

Linux, Mac

Programming Language

C

Related Categories

C AI Assistants

Registered

5 days ago