Cooper is an open-source command-line assistant that translates natural language prompts into actionable shell commands. Built on OpenAI’s GPT models, it handles code generation, file manipulation, Git operations, API integrations, and more. Developers can request tasks like creating boilerplate modules, batch renaming files, deploying scripts, or generating commit messages. Before execution, Cooper presents the proposed commands for review and approval, ensuring full transparency and safety. Its plugin architecture allows extension through custom handlers, making it adaptable for diverse workflows and environments.

Agent TARS leverages a combination of advanced computer vision and natural language processing techniques to understand and manipulate graphical user interfaces. By capturing visual representations of web pages, TARS can identify buttons, forms, tables, and other page elements. Users interact with TARS through natural language prompts, instructing it to click, scroll, extract text, or fill forms across multiple pages. It supports customizable workflows that chain tasks—such as logging into accounts, scraping data, and exporting results to CSV or JSON. With support for headless and headful browser modes, TARS enables both interactive exploration and unattended automation, making it ideal for testing, data acquisition, and routine browser-based operations.