Does Denario support different journal formats?

Yes, Denario includes support for specific journal styles like APS (American Physical Society) and can be configured for other LaTeX-based academic formats.

Is a LaTeX installation required?

To compile the generated papers locally, a TeX distribution is needed. Alternatively, Denario can be run via Docker which includes all necessary LaTeX dependencies.

What is Denario used for?

Denario is used to automate scientific research workflows, helping researchers move from initial data analysis to a finished LaTeX paper through AI-driven hypothesis generation and methodology execution.

Can I provide my own research hypotheses?

Yes, while Denario can generate ideas automatically, you can also provide custom research ideas and methodologies for the system to analyze and write about.

What AI frameworks does this skill use?

Denario is built using the AG2 and LangGraph frameworks to orchestrate multiple specialized agents that collaborate on different stages of the research process.

Denario Academic Research Assistant

Name: Denario Academic Research Assistant
Author: Activer007

byActiver007

Data Science & ML

Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.

About

Denario is a powerful multiagent AI system built on AG2 and LangGraph, specifically designed to accelerate academic and scientific workflows. It orchestrates specialized agents to handle complex tasks including hypothesis generation, methodology development, computational experimentation, and data visualization. By bridging the gap between raw data and formal publication, Denario allows researchers to automate the tedious aspects of the research pipeline while maintaining rigorous standards, eventually outputting fully formatted LaTeX papers ready for journal submission.

Key Features

Automated hypothesis generation based on data descriptions
Publication-ready LaTeX paper generation for journals like APS
0 GitHub stars
Interactive GUI for managing research projects and pipelines
Multiagent orchestration for complex research task management
End-to-end execution of computational experiments and visualizations

Use Cases

Developing reproducible computational research pipelines using AI agents
Automating the writing and formatting of academic papers in LaTeX
Transforming raw datasets into structured research hypotheses and methodologies

About

Key Features

Automated hypothesis generation based on data descriptions
Publication-ready LaTeX paper generation for journals like APS
0 GitHub stars
Interactive GUI for managing research projects and pipelines
Multiagent orchestration for complex research task management
End-to-end execution of computational experiments and visualizations

Use Cases

Developing reproducible computational research pipelines using AI agents
Automating the writing and formatting of academic papers in LaTeX
Transforming raw datasets into structured research hypotheses and methodologies