Deep Research AI Agent

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Deep Research AI Agent automates comprehensive research workflows by scraping online sources, summarizing academic papers, extracting key insights, and organizing findings into structured reports. It leverages GPT models, customizable prompts, and memory to adapt to diverse research topics. Users can adjust research depth, integrate custom data sources, and export outputs in markdown or PDF for further analysis and sharing.
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May 19 2025
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Deep Research AI Agent

Deep Research AI Agent

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0
Deep Research AI Agent
Deep Research AI Agent automates comprehensive research workflows by scraping online sources, summarizing academic papers, extracting key insights, and organizing findings into structured reports. It leverages GPT models, customizable prompts, and memory to adapt to diverse research topics. Users can adjust research depth, integrate custom data sources, and export outputs in markdown or PDF for further analysis and sharing.
Added on:
Social & Email:
Platform:
May 19 2025
--
Featured

What is Deep Research AI Agent?

Deep Research AI Agent is an open-source framework designed to automate every stage of the research process. By chaining web scraping modules, language model-based summarizers, and insight extraction pipelines, it gathers data from online articles, academic journals, and custom sources. It supports GPT-3.5, GPT-4, and other OpenAI models, allowing users to tailor question prompts and memory settings to their needs. After extracting key points and citations, it organizes information into comprehensive markdown or PDF reports. Researchers can extend its capabilities with plugins for database integration, API-based data retrieval, and custom analysis functions. This agent streamlines literature reviews, market research, and technical due diligence, reducing manual effort and ensuring consistent, high-quality outputs.

Who will use Deep Research AI Agent?

  • Academic researchers
  • Graduate students
  • Market analysts
  • Journalists
  • Business strategists
  • Content creators

How to use the Deep Research AI Agent?

  • Step1: Clone the GitHub repository and navigate into the project directory.
  • Step2: Install Python dependencies with pip install -r requirements.txt.
  • Step3: Set your OPENAI_API_KEY environment variable or update the config file.
  • Step4: Customize research prompts and data source settings in the config.
  • Step5: Run the agent via python main.py with your research query.
  • Step6: Review generated summaries and insights in markdown or PDF output.

Platform

  • mac
  • windows
  • linux

Deep Research AI Agent's Core Features & Benefits

The Core Features

  • Web scraping of online articles and papers
  • Automated literature summarization
  • Key insight extraction and citation generation
  • Report compilation in markdown and PDF
  • Customizable prompts and memory settings
  • Plugin architecture for data sources and analysis

The Benefits

  • Saves hours on manual research tasks
  • Consistent high-quality summaries
  • Scalable to multiple topics and sources
  • Customizable workflows to fit user needs
  • Easy export and sharing of findings

Deep Research AI Agent's Main Use Cases & Applications

  • Academic literature reviews
  • Market research reports
  • Competitive analysis
  • Technical due diligence
  • Content research for blogs and articles

FAQs of Deep Research AI Agent

Deep Research AI Agent Company Information

Deep Research AI Agent Reviews

5/5
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Deep Research AI Agent's Main Competitors and alternatives?

  • Elicit (elicit.org)
  • Research Rabbit
  • Connected Papers
  • scite.ai
  • Semantic Scholar Research Assistant

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