YantrikDB: A Cognitive Memory Engine with Forgetting, Consolidation, and Contradiction Detection
By
pranabsarkar
The bagel they save for the regulars. Don't skim, savour.
Summary
YantrikDB is a cognitive memory engine that functions as a database server with unique memory management capabilities. Unlike traditional vector databases that simply store memories, YantrikDB actively manages them through three key features: forgetting (with temporal decay and configurable half-life), consolidation, and contradiction detection. The system is designed to prevent recall quality degradation that occurs in standard vector databases after accumulating many memories, making it particularly suitable for AI agents that need intelligent memory management. It can be embedded, run as a server, or connected via MCP (Model Context Protocol).
Key quotes
· 4 pulledA memory database that forgets, consolidates, and detects contradictions.
Vector databases store memories. They don't manage them. After 10,000 memories, recall quality degrades because there's no consolidation, no forgetting, no conflict resolution.
YantrikDB is different. It's a cognitive memory engine — embed it, run it as a server, or connect via MCP. It thinks about what it stores.
Three things no other database does: 1. It forgets, 2. It consolidates, 3. It detects contradictions.
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