A cognitive memory engine with 5,100+ knowledge modules that tracks emotional states and circadian rhythms. Uses hybrid search combining PostgreSQL, vector databases, and caching for intelligent information retrieval with user isolation.
Celiums Memory is a sophisticated cognitive memory engine designed to augment AI systems with persistent, context-aware memory capabilities. It stores and retrieves information from 5,100+ knowledge modules while maintaining awareness of circadian rhythms and emotional states using the PAD (Pleasure-Arousal-Dominance) model. The system provides multi-user isolation, ensuring that each user's memories remain private and separate.
As an MCP (Model Context Protocol) server, installation involves: (1) Cloning the repository from GitHub, (2) Installing required dependencies including PostgreSQL, Qdrant vector database, and Valkey cache, (3) Configuring environment variables for database connections, (4) Running the MCP server, (5) Connecting it to your preferred AI platform (Claude, ChatGPT, etc.) via the MCP protocol.
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