Agent-based simulation methodology has shown merits to handle complex adaptive systems’ spontaneity, non-linearity, uncertainty, relevancy and emergence. Based on the agent theory of modeling and simulation, this paper proposes a flexible, scalable and cross-domain framework for simulating complex adaptive systems. After discussion on the design of FFCAS, applications on FFCAS in different complex domains, and empirical results are presented as experimental validation.