Long term memory retention in the artificial inteligence is possible?
Not about the memory power of human brains but the constant circadian flow of data by an individual assigned to a vector should not be distributed..
Concept of LTMR in AI for LLMs should evolve …
This would help in legacy modernization, code migration activities, decision making of product development, disruption of vibe coding and persistent coding evolution, zero defect product evolution for any enhancements..
Here’s the blueprint I’m exploring:
Vector Identity: Each user becomes a persistent vector – contextually
Memory Map: layered memory builds or sheets not just a map
Integrity: Memory is sacred to the vector. No pooling. No dilution.
Circadian Sync: Memory evolves with the user’s rhythm—daily, weekly, project-based.
Ritual Anchors: Every migration, every decision, every artifact is tagged with a constant or vector
#CognitiveArchitecture #semantics
Thoughts Map 