RResearchAgent

ResearchAgent

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ResearchAgent is an open-source Python AI agent designed to automate literature and web research workflows. It performs targeted searches, retrieves relevant documents, extracts key information, and compiles structured summaries and citations.
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May 06 2025
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ResearchAgent
RResearchAgent

ResearchAgent

0
0
ResearchAgent
ResearchAgent is an open-source Python AI agent designed to automate literature and web research workflows. It performs targeted searches, retrieves relevant documents, extracts key information, and compiles structured summaries and citations.
Added on:
Social & Email:
Platform:
May 06 2025
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What is ResearchAgent?

ResearchAgent leverages large language models to conduct automated research across online databases and web sources. Users provide a research query, and the agent executes searches, scrapes document metadata, extracts abstracts, highlights key findings, and generates organized summaries with citations. It supports customizable pipelines, allowing integration with APIs, PDF parsing, and export to Markdown or JSON for further analysis or reporting.

Who will use ResearchAgent?

  • Academic researchers
  • Graduate students
  • Market analysts
  • Data scientists
  • Technical writers

How to use the ResearchAgent?

  • Step1: Clone the repository from GitHub: git clone https://github.com/adexoxo13/ResearchAgent.git
  • Step2: Install dependencies: pip install -r requirements.txt
  • Step3: Set up your LLM API key in a .env file (e.g., OPENAI_API_KEY)
  • Step4: Configure search sources and query parameters in config.yaml
  • Step5: Run the agent: python run_agent.py --query "your research topic"
  • Step6: Review generated summaries and export results to your desired format

Platform

  • Linux
  • Mac
  • Windows

ResearchAgent's Core Features & Benefits

The Core Features

  • Automated web and database literature search
  • Document metadata and abstract extraction
  • Key insight and highlight detection
  • Structured summary and citation generation
  • Configurable pipeline with YAML settings
  • Export results to Markdown or JSON

The Benefits

  • Speeds up literature review processes
  • Ensures consistent, reproducible summaries
  • Reduces manual reading and data extraction time
  • Customizable to different research domains
  • Facilitates organized reporting and collaboration

ResearchAgent's Main Use Cases & Applications

  • Academic literature reviews
  • Market and competitor analysis
  • Patent and technical document summarization
  • Content creation and briefing preparation
  • Grant proposal background research

FAQs of ResearchAgent

ResearchAgent Company Information

ResearchAgent Reviews

5/5
Do You Recommend ResearchAgent? Leave a Comment Below!

ResearchAgent's Main Competitors and alternatives?

Elicit
Semantic Scholar API
scite.ai
Zotero with Zotero Translate
ConnectedPapers

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