Patent
U.S. Patent Application
Section titled “U.S. Patent Application”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
What’s Covered
Section titled “What’s Covered”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.
Claim 2: Cognitive State Graph
Section titled “Claim 2: Cognitive State Graph”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).
Claim 3: Unified Cognitive Memory System
Section titled “Claim 3: Unified Cognitive Memory System”The complete system combining the scoring method, cognitive graph, autonomous background processing (consolidation, contradiction detection, pattern mining), proactive triggers, and CRDT-based replication.
Open Source + Patent
Section titled “Open Source + Patent”YantrikDB is open source under AGPL-3.0. The patent protects the methods, not the code:
- AGPL — you can use, modify, and distribute the code freely, as long as derivatives remain AGPL
- Patent — if you reimplement the patented methods (even from scratch in a different language), you need a patent license
This is similar to how many database companies operate — the code is open, but the algorithms are protected.