Gpt Researcher

GPT Researcher is an open-source autonomous research agent that produces detailed, multi-source research reports with inline citations. It is one of the most widely adopted projects in the 'deep research' category, with over 27,000 GitHub stars, and it has ranked first on Carnegie Mellon's DeepResearchGym benchmark for end-to-end research quality. The agent works by taking a research query, generating a plan of sub-questions, scraping and summarizing relevant web sources for each, and synthesizing the findings into a structured report with references. The motivation, as stated by the project, is that manual research is slow (weeks for deep topics), that single-LLM generation hallucinates without grounding, and that existing services rely on a narrow slice of web sources that introduces bias. GPT Researcher mitigates these by aggregating across many sources and requiring citations for claims. It is a Python framework that can be self-hosted, extended with custom tools, and integrated into larger agent pipelines. Compared to commercial deep-research products (Perplexity Pro, OpenAI's deep research mode), GPT Researcher's advantages are openness, customizability, and the ability to run it on private data sources; its disadvantage is that it requires setup and tuning to match the polish of managed alternatives. It fits researchers, analysts, and engineering teams that need repeatable, auditable research workflows rather than ad-hoc chatbot queries.