Hyura Lab's AMF architecture v3 implements a three-pillar AI governance model on AWS with isolated memory contexts, multi-LLM validation roles, and cross-AZ redundancy. Henry operates as a solo writer to Pilar 1 (memory context), while Tim AI routes validated roles through Claude, Gemini, Kimi, Deepseek, and Grok as read-only auditors across Pilar 2 (dev dashboard) and Pilar 3 (technical logic rules). The infrastructure spans two availability zones with ECS-managed applications (hyura-brain, bayaran-id, medlution), RDS primary-standby databases, and DynamoDB for project-partitioned operational logs. This architecture demonstrates least-privilege IAM, multi-LLM orchestration for governance, and separation of concerns between memory isolation, application logic, and audit trails. Fork and customize this diagram on Diagrams.so to adapt the pillar model, add additional LLM roles, or modify the cross-AZ failover strategy for your organization's AI governance needs.