Antimicrobial resistance is a global public health concern. Lack of innovations in antibiotic development have led to renewed interest in antibiotic adjuvants. However, there is no database to collect antibiotic adjuvants. Herein, we build a comprehensive database named AADB by manually collecting relevant literature. Specifically, AADB includes 3,035 combinations of antibiotics and adjuvants, covering 83 antibiotics, 226 adjuvants and 325 bacterial strains. The AADB provides user-friendly interfaces for searching and download. These data can easily be obtained and analyzed further by users. Our aim is to help users design accurate computational models for identifying antibiotic adjuvants.