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GPT Researcher

Research agent that writes cited reports from web and local documents

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Stars
30k
License
Apache-2.0
Last commit
Sep 2026
Last release
Sep 2026

Overview

Planner and execution agents generate research questions, scrape 20+ sources, filter passages (Jev by default, BM25 fallback with no key) and write cited reports over 2,000 words, exportable to PDF and Word. Runs as a FastAPI server on port 8000 with a static or Next.js frontend, or as a pip package; local PDF, Office, CSV and Markdown files can be sources. For analysts automating long-form research.

Who it is for: Analysts and developers automating long-form research

Strengths

  • Deep Research mode: tree-like exploration, about 5 minutes and $0.40 per run on o3-mini
  • Hybrid retrievers: Tavily plus MCP servers such as GitHub as research sources
  • Works with any OpenAI-compatible endpoint via OPENAI_BASE_URL
  • Multi-agent LangGraph and AG2 variants produce 5-6 page PDF, DOCX and Markdown reports

Weaknesses

  • Default setup needs OpenAI and Tavily API keys
  • Jev context filtering needs a TYPESAFE_API_KEY; the fallback is keyword BM25
  • Python 3.12 or later required
  • Disclaimer labels the project experimental and for academic purposes

What it needs

  • no GPU
  • Docker + Compose
  • Needs OpenAI or OpenAI-compatible LLM API, Tavily API key (default retriever), TypeSafe API key (optional Jev filter)
  • Models: OpenAI models, any OpenAI-compatible endpoint via OPENAI_BASE_URL, Gemini 2.5 Flash Image (inline images)
  • port 8000

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