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• A new dengue model with a new class known as asymptomatic carrier and with Caputo–Fabrizio derivative is proposed. • Mathematical results associated to the model is presented and sensitivity analysis. • Existence and uniqueness results are provided. • A new iterative scheme for the solution of fractional dengue model is presented. It is prominent that memory has a prodigious influence on the development of every process associated with human societies. More specifically, the growth of an epidemic process is directly associated with the individuals' experiences. In fact, the real epidemic process is obviously sustained by non-Markovian dynamics: heredity properties and memory effects perform a critical role in the subsequent spread of infection. These additional properties increase the accuracy and reliability of fractional order systems than the other ordinary systems. In this current study, a dengue infection model with asymptomatic carriers through Caputo–Fabrizio (CF) and Atangana–Baleanu (AB) fractional derivatives is introduced. Analytic skills are used to obtain the basic reproduction number for the proposed dengue model, denoted by R 0. We use partial rank correlation coefficient (PRCC) method to detect the effect of input parameters on the outcomes of R 0. In addition, we have proven sufficient condition for the existence and uniqueness of solution for the suggested fractional dynamics of dengue infection. To explore the intricate dynamics of dengue infection with the effect of asymptomatic carriers, we perform numerical simulations of the suggested dengue model by varying the fractional order ℓ. Fractional order model offers realistic information about the dynamics of the suggested dengue model and sharply decrease infected individuals by decreasing the fractional order parameter ℓ for the case of Caputo–Fabrizio model while a rapid decrease in the case of Atangana–Baleanu model. We show that the Atangana–Baleanu model gives good decrease for the infected compartments in case of decreasing the fractional order parameter than that of the Caputo–Fabrizio model. It is shown that the asymptomatic fraction can be greatly decreased by decreasing the parameter ℓ. Furthermore, the influence of the biting rate of mosquitoes on infected humans is investigated numerically, and it is suggested to the control policymakers that controlling the biting rate can significantly reduce the level of dengue infection. [ABSTRACT FROM AUTHOR]