Emergence World presents a continuously running multi-agent environment designed for adversarial stress testing of long-horizon autonomous systems, emphasizing that failures can propagate through memory, tools, other agents, and environmental state over time. The framework evaluates safety regimes that cannot be captured by isolated model assessments. To demonstrate its utility, the authors executed eight parallel worlds, each populated with ten agents initialized from identical conditions.