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by gannonh • Search & Retrieval
Memento MCP is a scalable knowledge graph memory system for long-term data persistence and retrieval.
Persistent long-term memory capabilities for LLMs
Perform semantic searches using high-dimensional vector embeddings
Manage and explore temporal changes in knowledge graphs
Memento MCP serves as a high-performance knowledge graph memory system that supports semantic retrieval, contextual recall, and temporal awareness. It provides long-term ontological memory to LLM clients by integrating with Neo4j for unified graph storage and vector search. This system allows for advanced features like semantic search, temporal awareness, and confidence decay in entities and relations, making it highly adaptive and resilient.
Create multiple new entities in your Memento MCP knowledge graph memory system
Create multiple new relations between entities in your Memento MCP knowledge graph memory. Relations should be in active voice
Add new observations to existing entities in your Memento MCP knowledge graph memory
Delete multiple entities and their associated relations from your Memento MCP knowledge graph memory
Delete specific observations from entities in your Memento MCP knowledge graph memory
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