Stigmergic consensus for multi-agent / multi-model systems. A learned, stateful alternative to majority vote and self-consistency: agents deposit weighted signals into a shared pool, a short truth-discovery loop converges on consensus, and cross-run pheromone memory teaches the swarm which agents to trust. Pure Python, zero dependencies, provider-agnostic.