Denario Scientific Research

소개

Denario is a sophisticated multiagent AI system designed to streamline scientific discovery by orchestrating specialized agents for complex research tasks. Built on AG2 and LangGraph frameworks, it empowers researchers to transform raw datasets into structured findings through a four-stage pipeline encompassing hypothesis generation, methodology development, computational execution, and automated paper writing. Whether you're looking to explore new research ideas, automate data analysis, or format results for prestigious journals like APS, Denario provides a robust, reproducible, and customizable environment to accelerate the transition from data to publication.

주요 기능

• Publication-ready LaTeX manuscript generation with journal-specific formatting
• Automated hypothesis generation and methodology development from raw datasets
• Multiagent orchestration for specialized research task coordination
• Integrated literature search capabilities for research context
• Computational experiment execution and data visualization generation
• 2,066 GitHub stars

사용 사례

• Automating the full research pipeline from experimental data to a formatted journal paper
• Generating novel research hypotheses and methodologies based on specific scientific datasets
• Producing publication-ready LaTeX documents for journals like the American Physical Society (APS)