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by radek-paclt • Uncategorized
A human-like memory system using Qdrant vector database and OpenAI embeddings accessible via the Model Context Protocol.
Access global company knowledge during customer interactions.
Customer-specific information across multiple interactions.
Conversation-specific notes and context during live support.
This MCP server provides a sophisticated memory system that supports multiple human-like memory types including episodic, semantic, procedural, emotional, sensory, and working memory. It enables hierarchical scoping for customer support at company, customer, and interaction levels, allowing contextual and relevant memory retrieval. The system supports automatic updates, importance scoring, emotional valence, and associations between memories, enhancing team learning and customer support efficiency.