Can I provide my own research methodology?

Yes, Denario allows you to provide custom research ideas or methodology markdown files, which it then uses to execute experiments and generate results.

Denario is a multiagent AI system that automates scientific research workflows, helping users move from data analysis to LaTeX paper generation using AI agents.

Which journal formats does Denario support?

Denario currently supports formats like the American Physical Society (APS), with the ability to add more via its research pipeline configuration.

Does Denario require specific LLM API keys?

Yes, Denario requires API keys from supported providers like Google Vertex AI or OpenAI to power the AG2 and LangGraph multiagent orchestration.

Is there a graphical interface for Denario?

Yes, Denario includes a web-based GUI that can be launched using the 'denario run' command for interactive research management.

Denario Scientific Researcher

Name: Denario Scientific Researcher
Author: Activer007

byActiver007

データサイエンスとML

Automates the end-to-end scientific research pipeline from initial data analysis and hypothesis generation to publishing-ready LaTeX manuscripts.

概要

Denario is a sophisticated multiagent AI system designed to streamline scientific discovery by orchestrating specialized agents through AG2 and LangGraph frameworks. It assists researchers at every stage of the research lifecycle, including hypothesis formation, methodology development, computational experimentation, and the final generation of journal-formatted papers (such as APS style). Whether you are exploring new datasets or need to automate rigorous academic documentation, Denario provides a structured, reproducible, and automated workflow for modern scientific inquiry.

主な機能

Automated execution of computational experiments and data visualizations
Multiagent orchestration for hypothesis and methodology development
End-to-end research pipeline management from raw data to publication
Automatic LaTeX paper formatting for major scientific journals
Integrated literature search and structured research context management
0 GitHub stars

ユースケース

Executing reproducible computational experiments and generating research findings
Generating novel research hypotheses and methodologies from raw datasets
Automating the drafting of publication-ready LaTeX papers for academic journals

概要

主な機能

Automated execution of computational experiments and data visualizations
Multiagent orchestration for hypothesis and methodology development
End-to-end research pipeline management from raw data to publication
Automatic LaTeX paper formatting for major scientific journals
Integrated literature search and structured research context management
0 GitHub stars

ユースケース

Executing reproducible computational experiments and generating research findings
Generating novel research hypotheses and methodologies from raw datasets
Automating the drafting of publication-ready LaTeX papers for academic journals