Maoster101/Primes-Shadow-V1CL

Primes-Shadow-V1CL is a very early-stage (7 days old) project aiming to solve LLM hallucination and memory issues through a 'Graph-of-graphs' (GoG) architecture and 'OLI' (Object-Logic-Inference) constraints. While the vocabulary is sophisticated, the project currently has zero stars, forks, or community traction, placing it firmly in the 'personal experiment' or 'prototype' category. It attempts to address 'epistemic integrity'—a high-interest area for frontier labs and well-funded startups like WhyHow.ai or Microsoft (with GraphRAG). The defensibility is low because the core concepts (Knowledge Graphs + LLMs) are being rapidly commoditized by platform providers. Specifically, Microsoft's GraphRAG provides a more robust, open-source alternative for structured memory, while companies like Anthropic are baking 'constitutional' constraints directly into the model training and system prompts. Without a massive dataset or a highly optimized, low-latency implementation that outperforms existing RAG patterns, this project faces immediate displacement risk as frontier labs integrate more sophisticated structured memory and reasoning capabilities directly into their APIs.