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Gpt Researcher

Gpt Researcher is a Python-based autonomous AI research agent for investigating web and local data through LLM providers and producing sourced reports.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Gpt Researcher — OpenViST project profile in Research Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a task benefits from parallel information gathering, source tracking and a longer synthesized report rather than a short single-response answer.

Who it is for

  • Developers building research automation
  • Organizations creating self-hosted internal research workflows
  • Users needing multi-source market, literature or knowledge investigations

Documented uses

  • Turn a research question into subquestions and gathered evidence
  • Scrape and summarize information from web sources
  • Research local documents
  • Track sources and assemble a detailed report
  • Customize a research workflow around selected LLM providers and data sources
Before you choose

Requirements & limits

The project is presented as a public, Apache-2.0-licensed repository. Documented setup uses Python 3.12 or later and API-key configuration; no pricing or hosted-service account terms are established here.

  • It supports both web and local research.
  • The architecture separates planning, execution, crawling and report publishing.
  • It includes JavaScript-enabled scraping, source tracking and context retention.
  • It offers lightweight HTML/CSS/JS and production-ready NextJS plus Tailwind frontend options.
  • It can export reports to PDF, Word and other formats.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up GPT Researcher from the repository

Prepare a local GPT Researcher installation with the documented Python version, repository and API configuration.

Before you start

  • Python 3.12 or later
  • A cloned copy of the public repository
  • An OpenAI API key
  • A Tavily API key

Steps

  1. Install Python 3.12 or later.

  2. Clone the project and change into its directory.

  3. Export the OpenAI and Tavily API keys, or store them in a .env file.

  4. Optionally configure a custom OpenAI-compatible API base URL or LangChain tracing settings.

Expected outcome

The project is configured according to the documented getting-started prerequisites.

Guide limitations

  • Provider-specific configuration beyond the listed variables is not documented in the supplied material.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
assafelovic/gpt-researcher · Official homepage title · retained in its source language
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