A disordered material that cannot relax to equilibrium, such as an amorphous or glassy solid, responds to deformation in a way that depends on its past. In experiments we train a 2D athermal amorphous solid with oscillatory shear, and show that a suitable readout protocol reveals the shearing amplitude. When shearing alternates between two amplitudes, signatures of both values are retained only if the smaller one is applied last. We show that these behaviors arise because individual clusters of rearrangements are hysteretic and dissipative, and because different clusters respond differently to shear. These roles for hysteresis and disorder are reminiscent of the returnpoint memory seen in ferromagnets and many other systems. Accordingly, we show how a simple model of a ferromagnet can reproduce and key results of our experiments and of previous simulations. Unlike ferromagnets, amorphous solids' disorder is unquenched; they require "training" to develop this behavior.We are familiar with our own memory and forgetfulness, and digital memories are woven into our lives. But throughout our environment, matter is being driven without relaxing to equilibrium, potentially forming memories of its own: specific information about past conditions that can be recalled later. As a simple example, rubber "remembers" the extrema of all deformations since it was cured [1]; the material stiffens as it is driven beyond those limits, allowing the memory to be read. Further afield, dilute non-Brownian suspensions that are sheared cyclically [2, 3] and charge density-wave conductors given electrical pulses [4,5] share distinctive rules for remembering multiple input values. Studying memory can thus reveal unexpected connections between systems and prompt new examinations of their physics [6].Recently, a new memory behavior was discovered in amorphous solids [7]. This vast class of materials features atoms or particles packed with a minimum of the regular placement found in crystals. Amorphous solids made of molecules, bubbles, macroscopic grains, or colloidal particles ( Fig. 1a) deform in remarkably similar ways: applied stress tends to cause localized clusters of particles ("soft spots") to rearrange, marking transitions among a vast set of metastable states [8][9][10]. Yet under oscillatory shear, after many cycles these rearrangements can become periodic; particles' trajectories become loops [7,[11][12][13][14][15]. Molecular dynamics simulations of glasses [7,16,17] and experiments on bubble rafts [18] showed that after a strain amplitude γ 1 has been applied repeatedly to reach a "trained" steady state, the material retains an imprint of its training: a readout protocol can reveal γ 1 . This protocol is illustrated in Fig. 1b: cycles of increasing amplitude γ read are applied, beginning with an amplitude below the training value [2, 3, 18]. After each cycle, one measures the mean squared displacement (MSD) of the particles, relative to the trained state. A local minimum in the MSD as a function of γ read shows evidence of the t...