The Deep Research Agent system enhances AI research by employing a multi-agent architecture that mimics human analytical processes. It consists of four specialized agents: the Planner, who devises a strategic research plan; the Searcher, who autonomously retrieves high-value content; the Synthesizer, who aggregates and prioritizes sources based on credibility; and the Writer, who compiles a structured report with proper citations. A unique feature is the credibility scoring mechanism, which assigns scores to sources to minimize misinformation and ensure that only high-quality information influences the results. This system is built using Python and tools like LangGraph and LangChain, offering a more rigorous approach to AI-assisted research. This matters because it addresses the challenge of misinformation in AI research by ensuring the reliability and credibility of sources used in analyses.
