Recent advancements in LLMs have contributed to the rise of advanced conversational assistants that can assist with user needs through natural language conversation. This paper presents a ScheduleMe, a multi-agent calendar assistant for users to manage google calendar events in natural language. The system uses a graph-structured coordination mechanism where a central supervisory agent supervises specialized task agents, allowing modularity, conflicts resolution, and context-aware interactions to resolve ambiguities and evaluate user commands. This approach sets an example of how structured reasoning and agent cooperation might convince operators to increase the usability and flexibility of personal calendar assistant tools.

翻译：近年来，大语言模型（LLM）的进展推动了高级对话助手的发展，这些助手能够通过自然语言对话协助用户满足需求。本文提出ScheduleMe，一个多智能体日历助手，供用户以自然语言管理Google日历事件。该系统采用图结构协调机制，其中一个中央监督智能体管理专门的任务智能体，从而实现模块化、冲突解决和上下文感知交互，以消除歧义并评估用户指令。该方法为结构化推理与智能体协作如何提升个人日历助手工具的可用性和灵活性提供了范例。