Non-Markovian dynamics describe systems where the future evolution depends on both the present state and past history, contrasting with Markovian processes that rely solely on the current state. These dynamics are crucial in understanding complex systems where memory effects or time correlations play a significant role, such as in quantum mechanics, biological systems, and certain financial models.