Remove specific entities from the Elasticsearch Knowledge Graph memory zone, optionally deleting associated relations for cleaner data management and improved graph accuracy.
Add entities to a knowledge graph memory zone, including names, types, and observations, to enhance data storage and retrieval in Elasticsearch-based AI systems.
Boost or reduce an entity's relevance score in the Elasticsearch Knowledge Graph, enhancing its importance in searches or memory-based queries. Specify memory zone and optionally create new entities if needed.
Remove specific observations from entities within the knowledge graph, enabling precise data management and memory updates in the Knowledge Graph Memory Server.
Retrieve recently accessed entities and their relations from the Elasticsearch Knowledge Graph for MCP, with options to limit results and include detailed observations, supporting efficient memory-based queries.
Enables AI agents to build and query a persistent knowledge graph with entities, relationships, and observations. Features a core index system that ensures critical information is always accessible across all memory operations.
A persistent memory server that implements a local knowledge graph using the Kuzu embedded database to store entities, relationships, and observations. It enables AI models to maintain structured long-term context through searchable nodes and comprehensive tag-based organization.
An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.