{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"GPT Researcher is an autonomous agent that conducts comprehensive online research on a given query and generates detailed, factual reports with citations by orchestrating planner and execution agents to gather and synthesize information from multiple sources.","skillfed_tags":["research-automation","agent-framework","report-generation"],"use_cases":["Generate objective research reports on current events or technical topics without manual source gathering and synthesis.","Automate competitive analysis or market research by aggregating information from multiple sources into a structured report.","Build domain-specific research agents by customizing the planner and execution logic for specialized tasks.","Integrate research capabilities into chatbots or assistants (e.g., Claude via the published Skill) to answer complex queries with citations.","Export research findings to PDF or Word for stakeholder communication or documentation.","Conduct deep exploratory research on complex topics using the recursive tree-like exploration mode."],"what_it_does":"GPT Researcher is an autonomous agent framework that automates the research process by decomposing a research query into sub-questions, gathering information from multiple web sources in parallel, and synthesizing findings into a comprehensive report with citations. It addresses common LLM limitations\u2014hallucination, outdated training data, token constraints, and shallow web coverage\u2014by combining planning agents, execution agents, and a publisher component that aggregates results.\n\nThe package is designed for both programmatic use (via pip install and async Python API) and interactive deployment (with web frontends in HTML/CSS/JS and NextJS variants). It supports customization through environment variables and configuration objects, including optional features like AI-generated inline images, MCP integration for specialized data sources, and a deep research mode for recursive topic exploration. With 140 runtime dependencies, it brings a full ecosystem of async HTTP clients, web scrapers, LLM integrations, and document processing tools.","worth_installing":"Yes, if you need to automate research report generation and have API keys for OpenAI and Tavily (or compatible services). The project is actively maintained, has no known vulnerabilities, and the MIT license imposes no restrictions. The main commitment is managing 140 dependencies and ensuring Python 3.12+ availability. Start with the pip package and async API examples in the documentation."},"id":"gpt-researcher","links":{"html":"https://skillfed.io/packages/gpt-researcher","md":"https://skillfed.io/packages/gpt-researcher.md","pypi":"https://pypi.org/project/gpt-researcher/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-18","license_spdx":null,"license_treatment":"permissive","name":"gpt-researcher","python_support":"supports_current","summary":"GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks."},"popularity":{"monthly_downloads":95200,"position":13280,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.16.0"}