The AI Researcher agent acts as a virtual research assistant that automates key phases of scientific inquiry. It begins by accepting a user-defined topic and performing automated literature searches across online databases via integrated web search. It then extracts and summarizes the most relevant papers, highlights core findings, and identifies research gaps. Using these insights, the agent generates novel research questions and proposes experimental design outlines. The framework supports customizable task pipelines, allowing users to adjust search parameters, summarization depth, and idea generation strategies. All interactions occur through a simple command-line interface, leveraging Python scripts and OpenAI APIs. Researchers can review, refine, and export results to accelerate literature reviews and early-stage planning.

Notus is a powerful AI research assistant designed to simplify your research journey. It utilizes advanced natural language processing capabilities to effectively summarize complex academic papers, organize findings, and manage references seamlessly. Whether you are a student, researcher, or professional, Notus aids you in extracting pertinent information quickly and efficiently, allowing you to focus more on analysis and insights rather than manual organization.