Nanobot and Agentic AI | Xubin Ren

What happens when AI starts pursuing goals, using tools, and proactively working in our digital lives? Xubin Ren explains Nanobot, an open-source personal AI agent, and explores how agentic AI will transform automation, software, and everyday computing. Nanobot - Ultra-Lightweight Personal AI Agent https://nanobot.wiki In this episode, Tim Ventura speaks with Xubin Ren, a Ph.D. candidate at the University of Hong Kong whose research focuses on large language models, AI agents, and information retrieval. Xubin joins us to discuss Nanobot, HKUDS’s open-source, ultra-lightweight personal AI agent. Its compact, readable core supports tools, memory, MCP integrations, model routing, automation, messaging channels, and a browser-based interface. We explore what agentic AI actually means, why it may represent a fundamental change in computing, how Nanobot compares with mainstream AI assistants and other agent platforms, and how ordinary users might benefit from personal AI agents. We also examine privacy, permissions, reliability, security, open-source development, and whether future computers will respond less to individual commands—and more to the goals we want them to accomplish. ABOUT XUBIN REN Personal website: https://ren-xubin.github.io/ GitHub: https://github.com/Re-bin X / Twitter: https://x.com/xubinrencs LinkedIn:   / xubin-ren-610740281   Google Scholar: https://scholar.google.com/citations?... EXPLORE NANOBOT Nanobot GitHub: https://github.com/HKUDS/nanobot Documentation: https://nanobot.wiki/docs/latest/gett... Project roadmap: https://github.com/HKUDS/nanobot/disc... Releases and updates: https://github.com/HKUDS/nanobot/rele...