Search your knowledge graph memory using semantic vector embeddings to find entities similar to your query, with options for hybrid search, similarity thresholds, and entity type filtering.
Retrieve the complete knowledge graph for an Obsidian vault to analyze connections and relationships between notes, enabling comprehensive understanding of your knowledge base structure.
Search for entities, types, and observation content in a knowledge graph stored in Obsidian Memory MCP. Use a query to retrieve relevant nodes for enhanced knowledge graph navigation and analysis.
An improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.
Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.
Enables creating, managing, analyzing, and visualizing knowledge graphs with support for multiple graph types (topology, timelines, changelogs, requirements, knowledge bases, ontologies) including node/edge management and resource association.