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GPT Researcher
Research
Free

GPT Researcher

Autonomous AI agent that scrapes 20+ sources to create detailed, unbiased research reports with citations. Supports multi-agent workflows and local document research.

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Rating
0
Reviews
0
Upvotes
3 months ago
Listed
AI Agent
Autonomous Research
Open Source
Market Research
Academic Writing
Data Aggregation
RAG
Multi-Agent
Tool information
Provider
Assaf Elovic
Platforms
Web
Docker
Python (PyPI)
GitHub
Languages
English
API Available
Yes
Added to directory
3 months ago
Last updated
about 2 months ago
Rating
Not available
Pricing
Free

About GPT Researcher

What the tool does and who it's for

GPT Researcher is an autonomous AI agent designed for comprehensive and unbiased online research. Unlike standard LLM tools that may provide superficial or biased conclusions based on limited resources, this tool automates the process of scraping, filtering, and aggregating information from over 20+ web sources per task. It employs a multi-agent architecture where a 'planner' generates research questions and 'execution' agents gather related data. The system is optimized for speed through parallelized operations and can generate detailed research reports exceeding 2,000 words with full academic citations. It supports integration with various LLMs (OpenAI, Anthropic, Groq, Llama 3) and search engines like Tavily, Google, and Bing.

Key capabilities

Autonomous multi-agent research architecture (Planner and Executor).
Aggregates and filters information from 20+ web sources per research task.
Generates long-form reports (2K+ words) with academic citations.
Supports local document research for hybrid web/local insights.
Customizable research depth, breadth, and focus areas.
Export options include PDF, Word, Markdown, JSON, and CSV.
Integration with multiple LLMs including GPT-4, Claude, and Llama.
Parallelized execution for high-speed data gathering and analysis.
Built-in web crawler for real-time scraping of latest online data.
Support for MCP (Model Context Protocol) for Claude Desktop integration.

Pricing

Free — plans below

Open Source

Most popular

Free

  • Self-hosted via Docker or Python
  • Full access to source code (MIT License)
  • Bring your own API keys (OpenAI, Tavily, etc.)
  • Unlimited research runs (subject to your API costs)
  • Local document processing

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