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.
AI Platforms & Frameworks
Document Processing
Research
#automated research tools
#literature search
#metadata extraction
#summary generation
#Research Automation
#API integration
#PDF parsing
#JSON export
#Markdown reporting
#data extraction
#insight detection
#Research Efficiency
#collaborative reporting
#Academic Research
#organized summaries
#consistent reporting
#reproducible results
#customizable workflows
#online databases
#Web Scraping
...
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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.
AI Platforms & Frameworks
Document Processing
Research
#automated research tools
#literature search
#metadata extraction
#summary generation
#Research Automation
#API integration
#PDF parsing
#JSON export
#Markdown reporting
#data extraction
#insight detection
#Research Efficiency
#collaborative reporting
#Academic Research
#organized summaries
#consistent reporting
#reproducible results
#customizable workflows
#online databases
#Web Scraping
...
Featured
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
- mac
- windows
- linux
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
ResearchAgent's Main Competitors and alternatives?
- Elicit
- Semantic Scholar API
- scite.ai
- Zotero with Zotero Translate
- ConnectedPapers
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