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assafelovic/gpt-researcher

27,130PythonAudience · pm founderComplexity · 2/5MaintainedLicenseSetup · moderate

TLDR

An AI agent that automatically researches topics by searching the web, reading multiple sources, and writing detailed cited reports in minutes instead of hours.

Mindmap

mindmap
  root((repo))
    What it does
      Web search automation
      Multi-source synthesis
      Cited report generation
      Real-time information
    How it works
      Parallel web searches
      Source filtering
      Long-form writing
      Citation tracking
    Tech stack
      Python framework
      Multiple AI providers
      Web search integration
    Use cases
      Market research
      Competitor analysis
      Due diligence
      Background gathering
    Deployment options
      Local installation
      Library integration
      Claude plugin
      PDF/Word export

Things people build with this

USE CASE 1

Research a market or industry landscape to understand competitive positioning and trends.

USE CASE 2

Gather due diligence on a technology, company, or investment opportunity with sourced facts.

USE CASE 3

Create background research reports on any topic without manually browsing multiple websites.

USE CASE 4

Build a research feature into your own app by using GPT Researcher as a library.

Tech stack

PythonOpenAIAnthropicWeb search APIs

Getting it running

Difficulty · moderate Time to first run · 30min

Requires API keys for OpenAI, Anthropic, and a web search service (e.g., SerpAPI or similar).

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

In plain English

GPT Researcher is an AI agent that does deep research for you automatically. You give it a question or topic, and it goes off on its own, searching the web, reading multiple sources, filtering out unreliable information, and then writing you a detailed, cited research report. The whole process that might take a human researcher hours or days can be done in minutes. The key insight behind it is that regular AI chatbots have two problems for research: they only know what they were trained on (which gets outdated), and they can only process a limited amount of text at once. GPT Researcher works around both issues by actively searching the web in real time and running multiple searches in parallel, gathering 20 or more sources before synthesizing everything into a coherent report of 2,000+ words with proper citations. It's built in Python and works with different AI providers (OpenAI, Anthropic, and others), so you're not locked into one service. You can run it locally on your own computer, use it as a library inside a larger app you're building, or connect it as a plugin to AI tools like Claude. Reports can be exported as PDF or Word documents. For founders and vibe coders: if you're trying to research a market, understand a competitor landscape, due diligence a technology, or gather background on any topic, this is the kind of tool that can dramatically speed up the research phase. Instead of spending hours tabbing between browser windows, you describe what you want to know and get back a structured, sourced document. It's open-source and free to run with your own API keys.

Copy-paste prompts

Prompt 1
Set up GPT Researcher locally and run a research query on a market I'm interested in, then export the report as a PDF.
Prompt 2
Use GPT Researcher as a Python library to automatically generate a competitor analysis report for my startup.
Prompt 3
Configure GPT Researcher to use Anthropic's Claude instead of OpenAI, then research a technology topic.
Prompt 4
Create a research report on a specific industry trend and show me how the citations are formatted in the output.
Prompt 5
Integrate GPT Researcher into my existing Python application to add automated research capabilities.
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.