memento-mcp
Scalable knowledge graph memory system for LLMs supporting Model Context Protocol with semantic retrieval, contextual recall, temporal awareness, and integrated vector search using Neo4j for resilient, adaptive long-term ontological memory.
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High-performance persistent memory system for the Model Context Protocol offering vector search, semantic search, knowledge graph management, and secure token-based authentication using libSQL for local and remote databases.
6 toolsAdded May 30, 2025
High-performance persistent memory system for the Model Context Protocol offering vector search, semantic search, knowledge graph management, and secure storage using libSQL for local and remote databases.
6 toolsAdded May 29, 2025
Enables AI assistants to seamlessly access, store, search, and manage persistent memories across episodic, semantic, and procedural types using the Model Context Protocol integrated with Mem0.ai’s memory system.
Added May 30, 2025
Persistent memory solution for Model Context Protocol enabling AI models to store, search, and recall contextual information across sessions using Elasticsearch for scalable, long-term conversational coherence and personalized interactions.
17 toolsAdded May 30, 2025
Build and query real-time, temporally-aware knowledge graphs for AI agents with incremental updates, hybrid semantic and graph-based retrieval, and scalable, context-rich memory integration via the Model Context Protocol.
Added May 30, 2025