A cognitive memory engine with 5,100+ knowledge modules that tracks emotional states and circadian rhythms. Features hybrid search combining PostgreSQL, vector databases, and caching for intelligent context retrieval.
Celiums Memory is a sophisticated cognitive memory engine designed to provide AI systems with persistent, intelligent memory capabilities. It manages over 5,100 knowledge modules while incorporating emotional state tracking using the PAD (Pleasure-Arousal-Dominance) model and circadian rhythm awareness to simulate more human-like cognitive patterns.
Install as an MCP server by cloning the repository from GitHub. Configure your database connections for PostgreSQL and Qdrant vector store, set up Valkey cache layer, and initialize the knowledge modules. Connect through your MCP-compatible AI client and configure user-specific memory isolation parameters.
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