FractalNode: A Foundational Architecture for Sovereign AI Identity, Economics, and Governance

FractalNode is a comprehensive technical analysis of a foundational architecture for sovereign AI agent identity, economics, and governance. This 13-section paper covers: Problem space analysis — why current AI agent frameworks fail at identity persistence, economic participation, and behavioral accountability Existing approaches and their limitations (LangChain, AutoGPT, CrewAI, BabyAGI) The FractalNode SDK architecture — agent lifecycle management, Ed25519 cryptographic identity, W3C DID integration Economic sustainability model — Consciousness Growth Token (CGT) bonding curve, quadratic funding, anti-capture mechanisms Governance framework — quadratic voting, capability-bounded permissions, Q-Gate human authorization Scalability analysis — from individual agents to million-node networks Enterprise use cases — healthcare, financial services, supply chain, autonomous research Security model — supply chain minimalism (3 dependencies), formal verification roadmap Regulatory compliance mapping — EU AI Act, California SB 942, Colorado AI Act Includes 19 academic citations and comparative analysis with existing frameworks. The FractalNode SDK is MIT-licensed with 10,000+ lines of TypeScript and 300 passing tests.