PASS: A Polychromatic Architecture for Semantic Self-Healing and Error Metabolization in Agentic Systems

PASS — Polychromatic Autopoietic Syntropic Systems — is a conceptual and architectural model for semantic self-healing and error metabolization in agentic distributed systems. The paper argues that failures in contemporary distributed and agentic systems are not limited to infrastructure unavailability. Many failures are semantic: structurally valid events may still violate domain rules, legal policies, causal relations, interface expectations, or runtime invariants. Conventional self-healing mechanisms such as restart supervision, container replacement, and architectural reconfiguration can restore availability, but they often do not increase the system’s operational knowledge about the observed class of error. PASS treats an observed failure as an unassimilated informational perturbation. Error metabolization is defined as the governed process by which such a perturbation can be transformed, when enough evidence is available, into persistent artifacts of future validity: causal traces, causal graphs, semantic vectors, negative tests, validation rules, positive tests, healing functions, and reapplication policies. The paper formalizes PASS as the tuple PASS = (A, S, M, Σ, Π, K, δ, μ, γ), where agents, private states, typed messages, schemas, validity planes, operational knowledge, transition relations, metabolic functions, and semantic curation functions are composed into a polychromatic architecture. It also introduces γ as a Semantic Garbage Collector responsible for reviewing, demoting, archiving, revoking, or subsuming operational knowledge that becomes obsolete, contradictory, causally orphaned, or excessively specific. To the best of our knowledge, PASS is the first work to formalize a Semantic Garbage Collector as a semantic curation function for operational knowledge produced by self-healing in agentic distributed systems. The AllasCode Framework is presented as a reference architecture used to instantiate and illustrate the model. The paper discusses semantic validity planes, pragmatic identity, hermeneutic findability, intent-driven Graflow execution, QuarkBehavior, AtomicBehavior, distributed epistemic consensus through EntityDataAgent, governed healing policies, and semantic curation. This is a preprint intended for academic discussion and future empirical validation. The proposed evaluation agenda includes measuring semantic MTTR, recurrence reduction, semantic equivalence precision, false-positive healing rates, hermeneutic findability accuracy, epistemic consensus time, Semantic Garbage Collector effectiveness, and avoided computational cost.