AGIBOT WORLD is a large-scale robotics learning dataset specifically designed to advance multi-purpose robotic strategies. It includes foundational models, benchmarks, and an ecosystem aimed at providing high-quality robotic data to both academia and industry, paving the way for embodied AI. The dataset encompasses over a million trajectories from more than 100 robots, covering over 100 real-world scenarios, addressing tasks like fine manipulation, tool use, and multi-robot collaboration. It employs state-of-the-art multimodal hardware, including visual-tactile sensors, durable 6-degree-of-freedom dexterous hands, and mobile dual-arm robots, supporting research in imitation learning, multi-agent collaboration, and more. AGIBOT WORLD's goal is to transform large-scale robotics learning and promote the production of scalable robotic systems. It is an open-source platform that invites researchers and practitioners to collaboratively shape the future of embodied AI.