Identify and retrieve related memories using graph traversal based on a starting memory ID, with customizable depth and relationship strength parameters.
Navigate research hierarchies to visualize connections between concepts, identify knowledge gaps, and trace relationships across your research structure.
Discover semantically related concepts using ConceptNet’s embeddings. Input a term to explore ranked results with similarity scores, relationship context, and language filtering, enabling effective brainstorming and concept expansion.
Search stored memories by content or category using natural language queries. Automatically triggered by phrases like 'find in memories' or 'look for' to retrieve relevant information.
Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.