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How to use GPT Researcher: what you can do with it

What is GPT Researcher? GPT Researcher is an autonomous agent that conducts deep research on any topic with any LLM provider and writes a cited report. It runs as a web app, a pip package, a Docker stack or a Claude skill, can research your local documents, and can mix web search with MCP data sources such as GitHub.

How do I use it? Clone with git clone https://github.com/assafelovic/gpt-researcher.git and cd gpt-researcher; then set your OPENAI_API_KEY and TAVILY_API_KEY as environment variables or in a .env file; install and start with pip install -r requirements.txt and python -m uvicorn main:app --reload. Full steps below.

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What do you want to do?

3 use cases

Quick start with GPT Researcher

  1. Check you have what it needs: Python 3.12 or later; An OpenAI API key and a Tavily API key, or a custom OpenAI-compatible endpoint; Docker if you prefer the docker compose setup.
  2. Open assafelovic/gpt-researcher on GitHub and read the README and license.
  3. Clone with git clone https://github.com/assafelovic/gpt-researcher.git and cd gpt-researcher
  4. Set your OPENAI_API_KEY and TAVILY_API_KEY as environment variables or in a .env file
  5. Install and start with pip install -r requirements.txt and python -m uvicorn main:app --reload
  6. Open http://localhost:8000 and enter your research question

These steps come from our top use case, Run a deep research web app on your machine, which also has a copy-paste agent prompt.

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About this repo

  • Who it is forAnalysts, students and developers who want long, sourced research reports without doing every search by hand.
  • Why it is hot30k stars, talked about in 2 AI sources we track
  • LanguagePython
  • Sourcegithub.com/assafelovic/gpt-researcher ยท Back to Hot repos

Requirements

  • Python 3.12 or later
  • An OpenAI API key and a Tavily API key, or a custom OpenAI-compatible endpoint
  • Docker if you prefer the docker compose setup

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Questions about GPT Researcher

What is GPT Researcher?

GPT Researcher is an autonomous agent that conducts deep research on any topic with any LLM provider and writes a cited report. It runs as a web app, a pip package, a Docker stack or a Claude skill, can research your local documents, and can mix web search with MCP data sources such as GitHub. It is an open-source project on GitHub: https://github.com/assafelovic/gpt-researcher.

How do I use GPT Researcher?

Clone with git clone https://github.com/assafelovic/gpt-researcher.git and cd gpt-researcher; then set your OPENAI_API_KEY and TAVILY_API_KEY as environment variables or in a .env file; install and start with pip install -r requirements.txt and python -m uvicorn main:app --reload. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is GPT Researcher for?

Analysts, students and developers who want long, sourced research reports without doing every search by hand.

What can I do with GPT Researcher?

3 use cases so far, for example: Run a deep research web app on your machine; Write a report from your own documents; Combine web search with GitHub data via MCP. Each has steps and a copy-paste agent prompt.

What do I need to run GPT Researcher?

Python 3.12 or later; An OpenAI API key and a Tavily API key, or a custom OpenAI-compatible endpoint; Docker if you prefer the docker compose setup.

What are alternatives to GPT Researcher?

Other hot AI repos in Research: Txtai, Sam2, Graphiti, Reader, Cognee.

Is GPT Researcher safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.