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  • GitHub - HKUDS nanobot: Lightweight, open-source AI agent for your . . .
    It keeps the core agent loop small and readable while still supporting chat channels, memory, MCP and practical deployment paths, so you can go from local setup to a long-running personal agent with minimal overhead
  • nanobot overview · nanobot docs
    nanobot is a general AI agent runtime for everyday work You can think of it as an agent that runs on your side, under your control, instead of a hosted black-box product that only lives inside one UI That means nanobot is not tied to a single surface
  • What Is a Nanobot? How These Tiny Machines Work
    A nanobot is a tiny machine, roughly 50 to 100 nanometers wide, designed to perform a specific task at a scale invisible to the naked eye To put that size in perspective, a single human hair is about 80,000 nanometers thick, meaning you could line up nearly a thousand nanobots across its width
  • HKUDS nanobot - DeepWiki
    This document provides a high-level introduction to nanobot, an ultra-lightweight personal AI assistant framework
  • Nanorobotics - Wikipedia
    Nanoid robotics (nanorobotics or nanobotics for short) is an emerging technology field creating robots whose components are at or near the scale of a nanometer (10 −9 meters) [1][2][3] More specifically, nanorobotics (as opposed to microrobotics) refers to the nanotechnology engineering discipline of designing and building nanorobots with
  • nanobot-ai · PyPI
    🐈 nanobot stays lightweight by centering everything around a small agent loop: messages come in from chat apps, the LLM decides when tools are needed, and memory or skills are pulled in only as context instead of becoming a heavy orchestration layer
  • What is NanoBot? Ultra-Lightweight AI Agent Framework
    NanoBot is a Python-based AI agent framework that provides all the essentials of a personal AI assistant: reasoning, tool execution, memory management, scheduling, and multi-platform chat
  • nanobot download | SourceForge. net
    nanobot is an open source, ultra-lightweight personal AI assistant framework designed to deliver the core agent loop and autonomous AI capabilities in a minimal, readable codebase, approximately ~3,400–4,000 lines of Python, which is ~99% smaller than comparable large agent frameworks





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