Graphnosis explores a novel approach to AI knowledge representation: dual-graph structures (directed + undirected edges over the same node set) serialized in an AI-native binary format (.gai — the Graphnosis AI knowledge format) — optimized for machine comprehension, not human readability. Graph construction costs $0 (pure JS, no embedding APIs). Human corrections, giki pages, and audit reports provide a full audit trail.
GitHub|Created by Nelu Lazar|MIT License