Which journal formats does Denario support for paper generation?

Denario currently supports the American Physical Society (APS) format and other standard LaTeX styles to create publication-ready manuscripts.

Can Denario handle custom research methodologies?

Absolutely. While Denario can generate methodologies automatically, users can also provide their own custom markdown files to guide the computational experiments.

What is the Denario Claude Code skill?

Denario is a multiagent AI system integrated as a Claude Code skill that automates the scientific research process, including data analysis, hypothesis generation, and paper writing.

Do I need specific API keys to use Denario?

Yes, Denario requires API keys from supported LLM providers such as Google Vertex AI or OpenAI to power its specialized research agents.

How do I launch the Denario interface?

You can launch the web-based graphical user interface for interactive research management by running the command 'denario run' in your terminal.

Denario Scientific Research Assistant

Name: Denario Scientific Research Assistant
Author: Activer007

byActiver007

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Data Science & ML

Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.

About

Denario is a sophisticated multiagent AI system designed to streamline the academic research process by orchestrating specialized agents for hypothesis generation, methodology development, and computational analysis. It allows researchers to transform raw datasets into structured research questions and eventually into professionally formatted journal papers, supporting popular LaTeX styles like APS. Whether you need a complete automated pipeline or a hybrid approach with human-in-the-loop custom inputs, Denario leverages advanced frameworks like AG2 and LangGraph to ensure rigorous, reproducible scientific outputs across various research domains.

Key Features

Interactive GUI for managing complex research project lifecycles
Publication-ready LaTeX paper generation with journal formatting
Multiagent orchestration for specialized research and writing tasks
Automated hypothesis and methodology generation from raw datasets
End-to-end computational experiment execution and visualization
1 GitHub stars

Use Cases

Automating the writing of a physics journal paper from experimental data
Rapidly testing and validating multiple research hypotheses on new datasets
Streamlining the literature search and methodology design phase of a project

About

Key Features

Interactive GUI for managing complex research project lifecycles
Publication-ready LaTeX paper generation with journal formatting
Multiagent orchestration for specialized research and writing tasks
Automated hypothesis and methodology generation from raw datasets
End-to-end computational experiment execution and visualization
1 GitHub stars

Use Cases

Automating the writing of a physics journal paper from experimental data
Rapidly testing and validating multiple research hypotheses on new datasets
Streamlining the literature search and methodology design phase of a project