DEXTER is a community-curated directory that helps people discover and compare personal AI assistants. Its site brings together profiles for dozens of agents, with details on factors such as price, code availability, ease of use, live voice, mobile access, desktop apps, browser integration, computer use, model choice, routines and persistent memory. Visitors can filter agents by features and support status, then compare capabilities, popularity indicators and community feedback side by side.

The directory is designed to make choosing an assistant easier, whether someone wants a simple, ready-to-use tool or is comfortable with technical setup. Users can explore an editorial tier list, review the evaluation criteria, rate agents they know and create a personal ranking to keep private or publish. Community members can also suggest agents, share sources and help correct profiles.

DEXTER notes that its evaluations draw on repositories, social discussions and linked reporting, with the creator’s personal testing identified separately. The project is presented as an enthusiast-led resource that welcomes corrections and community contributions.