E8-EEA v5 drops Python emotional architecture

E8-EEA v5 attempts to ground AI consciousness in high-dimensional geometry and integrated information theory, moving toward autonomous cognitive engines with subjective experience. Its mapping of inputs to E8 root systems and D4 triality provides a unique approach to memory, while valence-arousal feedback loops allow for frustration signatures and rumination that simulate human-like cognitive biases. Structural stability is maintained through Lyapunov exponents used as a hard veto gate, and the inclusion of a three-track ablation test harness sets a high standard for verifying emergent properties in open-source AI projects.