Predicting the evolution of complex, social-scale events has long been the holy grail of data science and systems engineering. Traditional econometric and rule-based models often fall into the trap of linear thinking, failing to capture the dynamic, unpredictable reality of human society. WorldSim - AI parallel world simulation, is cracking this puzzle with a disruptive technical approach: constructing parallel worlds driven by million-level AI agents through large-scale emergent simulation. Today, we are tearing down the black box to dissect the technical engine behind WorldSim and reveal how a parallel society actually operates. From Data to Soul: Autonomous Agent Architecture and Memory Systems The fundamental building block of any social simulation is its populace. WorldSim’s world-building engine discards the traditional script-based, heuristic-driven "NPCs." Instead, it autonomously generates thousands to millions of AI agents from vast amounts of real-world data.…