xSeil agentic features

Before agent frameworks became mainstream, deployed mission-critical systems implemented centralized equivalents of behaviours now attributed to multi-agent architectures. We document three such mechanisms in xSeil (2016–2017): a pacing daemon computing a multiplicative saturation index over destination pressure and issuing physical speed commands to vehicles through iterative marginal load-shifting; a scenario system with a full simulation twin evaluating counterfactual plans against a shared persistent configuration library; and an evidence-gated escalation ladder that widens search scope only on demonstrated insufficiency. We show that the daemon’s saturation index is structurally identical to the fragility measure F = P(anomalies) × P(propagation) formalized by the same group a decade later, map each mechanism to its modern agentic counterpart as explicit retrospective interpretation, and specify a benchmark protocol for the open empirical question of what decentralization buys — and costs — against a centralized baseline possessing global visibility and deterministic auditability.