OpenSesame is a user-friendly experimental tool that is open source and runs on Windows, MacOS, and Linux. Here, we provide tips and tricks for running multisession experiments out of the lab using OpenSesame. We focus on learning experiments that involve the measurement of reaction times and complex quasi-randomized orders of stimuli controlling item transitions. Learning experiments pose specific challenges: how to access individual identifying numbers; how to access session numbers; and how to counterbalance conditions across participants. This article includes helpful codes and provides hands-on information for implementation that will be useful also outside of the presented use case. The aim of this article is to facilitate the creation of multisession learning experiments even with little technical expertise. We conclude that out-of-the-lab experiments are a valid alternative to traditional lab testing.