OpenDeepResearcher

OpenDeepResearcher is a notebook-based AI research agent that searches the web iteratively until it has enough context to produce a final report. A user provides a research topic, and the system generates search queries with an LLM. It then runs concurrent searches, deduplicates links, fetches page content, evaluates whether each page is useful, and extracts relevant context. After each round, the model decides whether more searches are needed or whether the available evidence is enough. The final output is a comprehensive research report based on the gathered material. The project uses services such as SERPAPI, Jina, and OpenRouter, with an optional Gradio notebook for a more usable interface.