TokaOS is an operations platform for experimental fusion facilities. It brings distributed measurement, data acquisition, control, and actuation units into a unified workspace, supporting device management, real-time monitoring, experiment control, and post-experiment review. Before an experiment, TokaOS helps check devices, parameters, and protection conditions. During an experiment, it coordinates preparation, linked operations, triggering, and exception response according to defined procedures. After an experiment, it stores parameters, measurement results, and operation logs linked by experiment ID and timeline, enabling process traceability and comparison of results. Using device models, real-time data, and experiment records, AI helps operators understand facility status, analyze anomalies, and plan tasks. It also assists with execution within permission and safety constraints, capturing operational experience for reuse.