  We present an alternative proof for the existence of solutions of stochastic
functional differential equations satisfying a global Lipschitz condition. The
proof is based on an approximation scheme in which the continuous path
dependence does not go up to the present: there is a memory gap. Strong
convergence is obtained by closing the gap. Such approximation is particularly
useful when extending stochastic models with discrete delay to models with
continuous full finite memory.
