Open Deep Research is an AI-powered research assistant designed to perform in-depth, iterative research on any topic. It integrates with AI agents via the Model Context Protocol (MCP) for seamless operation. The tool leverages large language models (LLMs) to generate intelligent search queries and processes results to refine research directions over time. With configurable breadth and depth parameters, users can control the scope and detail of their research. The system produces comprehensive markdown reports and supports concurrent processing for efficiency, making it a powerful tool for researchers seeking to explore topics thoroughly and systematically.
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Performs deep research based on a user query. Parameters: query (string), depth (number, 1-5), breadth (number, 1-5), existingLearnings (string[], optional). Returns a detailed markdown report of the findings, a list of sources used in the research, and metadata about learnings and visited URLs.
