research-topic

To research a topic and save findings to a knowledge graph, this Skill conducts targeted web scraping based on identified knowledge gaps and integrates the extracted information directly into a persistent memory tree. It updates existing nodes or creates new ones to store the acquired knowledge.

Managing information retrieval for existing knowledge gaps is handled by scoping web research specifically around the missing areas in your memory tree. The research depth adapts dynamically—quick, standard, or deep—to efficiently fill those specific gaps without redundancy.

During knowledge acquisition, web scraping meticulously documents sources and tracks any contradictions found in the information. It also performs entity extraction and archives the research findings as experiences for future reference within the memory management system.

You can adapt research depth for quick, standard, or deep knowledge integration based on the complexity of the specified topic. This ensures targeted information retrieval that efficiently writes synthesized findings into the structured memory tree without redundant operations.

You need persistent memory tree updates for information retrieval when your agent identifies a gap in its understanding of a concept. This Skill performs web research to acquire new knowledge and writes the synthesized information directly into the structured tree.