This panel brings together leading experts to examine the evolution and trajectory of open-world agents. We will reflect on past breakthroughs and foundational advances in agentic reasoning, consider the state-of-the-art in multimodal interactions, and discuss emerging frontiers—from LLM-driven action planning to lifelong and human-in-the-loop learning. By revisiting historical milestones and evaluating the present landscape, the panel aims to illuminate a roadmap for future innovations in open-world agents, including explorations into robotics, multi-agent coordination, etc, ultimately guiding the development of generalist agents and intelligence.