This article provides a hands-on coding guide to explore nanobot, a lightweight personal AI agent framework. It details recreating core subsystems like the agent loop, tool execution, memory persistence, skills loading, session management, subagent spawning, and cron scheduling. The tutorial uses OpenAI’s gpt-4o-mini and demonstrates building a multi-step research pipeline capable of file operations, long-term memory storage, and concurrent background tasks. The goal is to understand not just how to *use* nanobot, but how to *extend* it with custom tools and architectures.
ClawWork is an AI coworker framework that transforms AI assistants into agents capable of completing real-world professional tasks and earning income. It features a live economic benchmark, multi-model competition, and rigorous LLM evaluation. The project provides tools for standalone simulation and integration with openclaw/nanobot.
PicoClaw is an ultra-lightweight personal AI Assistant inspired by nanobot, refactored from the ground up in Go. It runs on $10 hardware with <10MB RAM and boasts fast startup times and portability.
