Agentic Object-Oriented Programming (AOOP) and Asymmetric Agentic Governance (AAG): A Practical Architecture for System Sovereignty

v2.0 integrates FCG theoretical foundations (Fidelity Model F(C,R,T), Fractal Topology L1/L2/L3, Probabilistic TCB bound δ). Dynamic enforcement delegated to Reference Implementation Kernel 10.5281/zenodo.21519849 [ELv2]. The deployment of Large Language Models (LLMs) in enterprise software ecosystems necessitates formal architectural constraints to separate probabilistic inference from deterministic state mutations. We identify Parametric Myopia (PM) as the systemic pathology - locally plausible but globally invalid refactoring - and Architectural Divergence (AD) as its measurable temporal manifestation. This paper proposes Asymmetric Agentic Governance (AAG) within the Agentic Object-Oriented Programming (AOOP) framework. We define a dual topology: a heuristic exploratory phase with read-only access for hypothesis generation, and a strictly bounded mutative phase subject to static and dynamic validation before any state transition. Under explicit Trusted Computing Base (TCB) integrity assumptions, the architecture enforces that outputs from the probabilistic domain cannot deterministically mutate system state without passing (1) static formal checking via AST Solver - YAML constraints compiled to Fragmented MSO to DUTA for O(N) validation via Courcelle's Theorem, and (2) dynamic runtime analysis via seccomp-bpf and eBPF instrumentation. State is defined as a left-fold over a cryptographically immutable event ledger with L2 sealing (HMAC-SHA256 in TEE/KMS) and 2-of-N multi-sig overrides. 46 pages, 8 formal specs. Whitepaper CC BY-SA 4.0 / Spec MIT. System Sovereignty: verifiable, reproducible state execution.