Autonomous systems now operate aircraft, power grids, hospitals, factories, vehicles, defense systems, and municipal infrastructure. Yet the software governing these systems remains nondeterministic, non-auditable, and non-reproducible. Modern AI systems hallucinate, multi-agent systems disagree, cyber-physical systems drift, and continuous-dynamics environments amplify small errors into catastrophic failures. No existing operating system provides deterministic governance for autonomous systems across domains. I introduce Lume-OS, to my knowledge, the first deterministic operating system for autonomous systems. Built on the DAIGS substrate, Lume-OS integrates natural-language determinism, invariant-preserving safety, multi-agent arbitration, deterministic override, certificate-based operational truth, and replay-identical execution into a unified kernel. Lume-OS compiles human intent expressed in natural language into deterministic, safety-preserving, multi-agent-convergent actions that operate reliably in continuous-dynamics environments. Lume-OS defines a universal kernel for autonomous systems, enabling domain-specific verticals (Lume-Aero, Lume-Energy, Lume-Def, Lume-Med, Lume-Ops, etc.) to operate on a shared deterministic substrate. I formalize the Lume-OS architecture, define its operational semantics, and present constructive proofs demonstrating invariant preservation, deterministic override correctness, multi-agent convergence, and replay-identical behavior. Lume-OS establishes a new category of operating system: a deterministic governance substrate for the automated world.
Ronald Jason Andrews (Thu,) studied this question.
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