The Trials object in Hyperopt plays a critical role in recording each trial's results, including the hyperparameters used and the corresponding performance metrics. This information is essential for guiding the search for optimal hyperparameters, as it allows the algorithm to learn from previous trials and make informed decisions about subsequent trials, thereby improving the efficiency and effectiveness of the tuning process.