TongTong

10-year frontend engineer. My OpenAgents award-winning project is a trip planning project based on multi-Agent collaborative architecture, combined with frontend engineering and AI model integration, achieving efficient collaboration of dispatcher, search, planning, summary four types of intelligent Agents. Thanks organizers, will continue deepening frontend-AI integration.

This project builds a multi-agent collaboration system based on OpenAgents, focusing on personal daily task management needs, integrating Mod-driven functions with multi-Agent division of labor, balancing technical depth, scenario innovation and application value, fully meeting advanced task criteria.

User inputs 'Help me plan tomorrow's Shanghai trip, check weather and flights, organize into document.' Dispatcher breaks down tasks: Check weather (Search), check flights (Search), plan trip (Planner), organize document (Summarizer). SearchAgent calls web_search Mod for Shanghai tomorrow's weather and flight info. PlannerAgent combines weather and flights, generates trip plan with 'travel time + transportation + precautions.' SummarizerAgent calls document Mod, organizes all info into Markdown document. Finally Dispatcher replies to user with document link.

User inputs 'Help me plan tomorrow's Shanghai trip, check weather and flights, organize into document.' Dispatcher breaks down tasks: Check weather (Search), check flights (Search), plan trip (Planner), organize document (Summarizer). SearchAgent calls web_search Mod for Shanghai tomorrow's weather and flight info. PlannerAgent combines weather and flights, generates trip plan with 'travel time + transportation + precautions.' SummarizerAgent calls document Mod, organizes all info into Markdown document. Finally Dispatcher replies to user with document link.