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YantrikDB Patent Filing — Cognitive Memory Architecture

Application No.: 19/573,392 Filed: March 20, 2026 Priority: Provisional Application No. 63/991,357 (February 26, 2026) Title: Cognitive Memory Database System with Relevance-Conditioned Scoring and Autonomous Knowledge Management Inventor: Pranab Sarkar Status: Pending

The patent contains 20 claims covering three key innovations:

Claim 1: Relevance-Conditioned Scoring Method

Section titled “Claim 1: Relevance-Conditioned Scoring Method”

A scoring method that uses multiplicative gating to suppress irrelevant memories regardless of their importance, recency, or graph proximity. This is the core retrieval innovation.

A typed knowledge graph with four node categories (Primary, Data-Linked, Situational, Behavioral) and eight edge types (supports, contradicts, causes, predicts, competes, refines, generalizes, depends).

The complete system combining the scoring method, cognitive graph, autonomous background processing (consolidation, contradiction detection, pattern mining), proactive triggers, and CRDT-based replication.

YantrikDB is open source under Apache-2.0. The patent protects the methods, not the code:

  • Apache-2.0 — you can use, modify, and distribute the code freely, including in closed-source and commercial products, with no copyleft obligation. The licence also carries an explicit patent grant (§3), so using this implementation does not put you at risk from the patent.
  • Patent — the §3 grant covers this work. It does not cover an independent reimplementation of the patented methods from scratch, which still requires a patent licence.

This is similar to how many database companies operate — the code is open, but the algorithms are protected.