MAESTRO's Intelligent Body Collaborative Workflow adopts a four-level progressive architecture: the planning agent first parses the user-inputted research objectives and breaks them down into executable sub-task sequences; the research agent is responsible for literature search and data analysis, and can either extract information from the local knowledge base or connect to the Internet to obtain the latest information; the reflection agent continuously monitors the quality of task execution, and achieves dynamic optimization through logic checking and integrity testing; the writing agent finally integrates all intermediate results to generate a structured report that conforms to academic specifications, and supports multiple iterations of modification and format exportation. The reflection agent continuously monitors the quality of task execution and achieves dynamic optimization through logic checking and integrity checking; the writing agent ultimately integrates all the intermediate results and generates a structured report that conforms to academic specifications and supports multiple iterations of modification and format export.
This answer comes from the articleMAESTRO: In-depth research assistant with local knowledge base and multi-agent collaborationThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil