40x cost reduction vs. traditional vector databases
Wasserstein-optimal memory coherence guarantees Zero-hallucination property through strict state consistency Provably stable long-term memory retention
The Problem Current AI memory systems (RAG, vector DBs) suffer from:
Memory drift: Context degradation over time Hallucination: Retrieved memories don't match original context
Cost explosion: Embedding storage/retrieval scales poorly
Coherence loss: No mathematical guarantee of consistency
The Solution: CSNP treats AI memory as a quantum-inspired coherent state with mathematical guarantees derived from optimal transport theory.
MohskiBroskiAI•6h ago
Fork; clone - Submit Pull Requests.
Down with the greedy corporations who stifle progress & hoard our personal information as currency. Holding our data hostage to ensure we stay with their platform.
No more I say! Ha. Please report any issues to me. This is a work-in-progress. Let me know if you have any trouble integrating it or using it.
Criticism is welcome. The goal is not perfection from day 1 - the goal is to build this together as a community to ensure it does the job it is meant to do.
Give OpenAI-Meta-Google-Anthropic --- All these rich bastards a thumb in their eye - Power to the people and all that good stuff.