This MCP server implementation provides a knowledge graph-based memory system for AI assistants. Developed by BRO3886, it offers tools for creating, managing, and querying a graph structure of entities, relations, and observations. The server supports features like custom memory file paths, timestamping, and advanced search capabilities. It's designed for use cases requiring persistent, structured memory for AI interactions, such as maintaining context in long-term conversations or building knowledge bases from user interactions.
Aún no hay reseñas. ¡Sé el primero en reseñar!
Inicia sesión para unirte a la conversación
Highlight AIRetrieve the current timestamp.
Specify a different memory file path for the project.
Create new entities in the memory. Requires details about the entities to be created.
Establish relationships between existing entities in the memory.
Store observations related to entities in the memory.
Remove specified entities from the memory.
Delete specific observations from the memory.
Remove specific relationships between entities in the memory.
Retrieve the entire knowledge graph stored in memory.
Search for specific nodes within the memory graph.
Access and view details of specific nodes in the memory graph.
