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GPT Researcher - AI RAG and Search Tool

Overview

GPT Researcher is an open-source, LLM-driven autonomous research agent designed to perform deep local and web investigations and produce long, citation-backed reports. The project focuses on combining retrieval and generation: it can search documents and the web, iteratively refine findings, and synthesize results into structured outputs with source citations. Typical uses include literature reviews, competitive intelligence, technical due diligence, and evidence-backed briefing notes. According to the GitHub repository, GPT Researcher is actively maintained and released under the Apache-2.0 license. The codebase emphasizes integration with external data sources so teams can connect specialized repositories (for example, internal document stores or domain-specific databases) and apply retrieval-augmented generation (RAG) workflows to produce verifiable, long-form deliverables. The project is geared toward researchers, analysts, and engineering teams who need automated, citation-aware research pipelines they can run locally or integrate into existing systems.

GitHub Statistics

  • Stars: 24,776
  • Forks: 3,280
  • Contributors: 186
  • License: Apache-2.0
  • Primary Language: Python
  • Last Updated: 2025-12-10T18:48:46Z
  • Latest Release: v.3.3.8

The repository shows strong community interest and activity: 24,776 stars, 3,280 forks, and 186 contributors according to the GitHub project page. Those metrics suggest broad adoption and many external contributions. The project is actively maintained—the repository's latest commit is dated 2025-12-10—indicating ongoing development and fixes. The Apache-2.0 license enables commercial and academic use and contribution. Overall, the combination of high star count and many contributors points to a healthy ecosystem with active community involvement.

Installation

Install via pip:

git clone https://github.com/assafelovic/gpt-researcher.git
cd gpt-researcher
pip install -r requirements.txt
pip install -e .

Key Features

  • Autonomous LLM agent that conducts multi-step research workflows and iterative refinement
  • Performs both local file system and web-based search to gather evidence and sources
  • Generates long-form, citation-backed reports suitable for briefs and literature reviews
  • Supports connectors to specialized data sources and internal repositories for domain data
  • Retrieval-augmented generation (RAG) patterns to combine search results with LLM synthesis

Community

The project has a large, active community—over 24k stars and 186 contributors—reflecting widespread interest and many third-party contributions. Frequent commits and numerous forks indicate active maintenance and community-driven extensions. According to the repository, users contribute via issues, pull requests, and integrations, making the project suitable for teams looking for an extensible open-source research agent.

Last Refreshed: 2026-01-09

Key Information

  • Category: RAG and Search
  • Type: AI RAG and Search Tool
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