Canon² — Trust Layer Research Archive. Autonomous software systems operating within deterministic computational ecosystems face a fundamental architectural crisis: the absence of a unifying protocol that governs how self-directing agents originate, authenticate, deliberate, execute, heal, and evolve under strict deterministic constraints. Existing frameworks address isolated facets of autonomy—compilation, trust binding, intent resolution, runtime homeostasis—but no single doctrinal architecture integrates these capabilities into a coherent, end-to-end governance model. I introduce the Grand Unified Protocol for Autonomous Software (GUPAS), a six-layer architectural framework that binds together the Lume deterministic natural-language compiler, the Lume-V verification wrapper, the Trust Layer Certificate Fabric, the Deterministic AI and Guided Subsystems (DAIGS) taxonomy, the Lume Deterministic Intent Resolver (LDIR), and the Synthetic Organism Runtime (SOR) into a single, composable protocol stack governing every phase of autonomous software lifecycle. GUPAS establishes that genuine software autonomy cannot exist without five interlocking guarantees: deterministic intent resolution, certificate-anchored identity, envelope-bound safety, state-evolving cognition, and governance-constrained execution. I present the formal architecture across six protocol layers—Identity, Intent, Envelope, Cognition, Execution, and Governance—and detail six operational pipelines that traverse the stack: Intent, Arbitration, Execution, Healing, Reversal, and Certification. Through this framework, autonomous agents become first-class citizens within the Trust Layer ecosystem, capable of generating intent, negotiating with peer agents, healing from corrupted states, and evolving behavioral patterns, all while remaining provably bounded by deterministic constraints and cryptographic trust obligations. To my knowledge, GUPAS constitutes the first complete doctrinal framework for autonomous software operating across distributed, trust-governed environments, and serves as the conceptual spine of the Expansion Research Community's investigation into deterministic autonomy.
Ronald Jason Andrews (Thu,) studied this question.