  The discrete stochastic dynamics of a random walker in the presence of
resetting and memory is analyzed. Resetting and memory effects may compete for
certain parameter regime and lead to significant changes in the long time
dynamics of the walker. Analytic exact results are obtained for a model memory
where the walker remembers all the past events equally. In most cases,
resetting effects dominate at long times and dictate the asymptotic dynamics.
We discuss the full phase diagram of the asymptotic dynamics and the resulting
changes due to the resetting and the memory effects.
