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by PerkyZZ999 • Uncategorized
A high-performance hybrid memory system for AI agents built on the Model Context Protocol (MCP).
Intelligent, context-aware memory storage combining multiple data types.
Hybrid search capabilities across vector, text, and graph data.
Scalable and performant memory management with automatic consolidation.
MemorizedMCP provides a multi-layer memory architecture combining short-term and long-term memory with automatic consolidation. It integrates knowledge graphs, vector embeddings, full-text search, and documentary memory for intelligent, context-aware information storage and retrieval. The system supports hybrid search capabilities, including vector, text, and graph search, with temporal filters and query caching for fast responses. It offers developer-friendly features such as an MCP protocol interface, HTTP API, backup/restore, and validation tools.