gpt-researcher

https://github.com/assafelovic/gpt-researcher

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

GPT Researcher

GPT Researcher is an open deep research agent designed for both web and local research on any given task.

The agent produces detailed, factual, and unbiased research reports with citations. GPT Researcher provides a full suite of customization options to create tailor made and domain specific research agents. Inspired by the recent Plan-and-Solve and RAG papers, GPT Researcher addresses misinformation, speed, determinism, and reliability by offering stable performance and increased speed through parallelized agent work.

Our mission is to empower individuals and organizations with accurate, unbiased, and factual information through AI.

• Objective conclusions for manual research can take weeks, requiring vast resources and time.
• LLMs trained on outdated information can hallucinate, becoming irrelevant for current research tasks.
• Current LLMs have token limitations, insufficient for generating long research reports.
• Limited web sources in existing services lead to misinformation and shallow results.
• Selective web sources can introduce bias into research tasks.

The core idea is to utilize 'planner' and 'execution' agents. The planner generates research questions, while the execution agents gather relevant information. The publisher then aggregates all findings into a comprehensive report.

Steps:

• Create a task-specific agent based on a research query.
• Generate questions that collectively form an objective opinion on the task.
• Use a crawler agent for gathering information for each question.
• Summarize and source-track each resource.
• Filter and aggregate summaries into a final research report.

• How it Works
• How to Install
• Live Demo

• ?? Generate detailed research reports using web and local documents.
• ??? Smart image scraping and filtering for reports.
• ?? Generate detailed reports exceeding 2,000 words.
• ?? Aggregate over 20 sources for objective conclusions.
• ??? Frontend available in lightweight (HTML/CSS/JS) and production-ready (NextJS + Tailwind) versions.
• ?? JavaScript-enabled web scraping.
• ?? Maintains memory and context throughout research.
• ?? Export reports to PDF, Word, and other formats.

See the Documentation for:

• Installation and setup guides
• Configuration and customization options
• How-To examples
• Full API references