Abstract: A new memory gradient method for solving nonlinear equations is presented and its global convergence is proved.The method does not depend on the initial value and is not required to calculate the inverse matrix of Jacobian matrix.By this way,the method reduces the computational amount of the algorithm and saves the computing time.It is more suitable to solve large scale nonlinear equations than the Newton’s method.