What are the technical requirements for running Denario?

Denario requires Python 3.12 or higher and API keys from supported LLM providers like Google Vertex AI or OpenAI.

Does Denario support custom research methodologies?

Yes, Denario supports a hybrid workflow where you can provide your own markdown-based methodologies or custom research ideas for the AI to execute.

How do I launch the Denario user interface?

Once installed, you can launch the web-based graphical user interface by running the 'denario run' command in your terminal.

Can Denario format papers for specific academic journals?

Yes, Denario includes built-in support for journal-specific formatting, such as the American Physical Society (APS) style, for LaTeX outputs.

What frameworks does Denario use for its agents?

Denario is built on the AG2 (formerly AutoGen) and LangGraph frameworks to coordinate multiple specialized AI agents across the research pipeline.

Denario Research Assistant

Name: Denario Research Assistant
Author: Microck

byMicrock

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数据科学与机器学习

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

Denario is a sophisticated multiagent AI system designed to streamline the scientific research lifecycle by orchestrating specialized agents through AG2 and LangGraph frameworks. It assists researchers in analyzing datasets, formulating novel hypotheses, developing rigorous methodologies, executing computational experiments, and generating formatted LaTeX papers suitable for academic journals such as APS. By bridging the gap between raw data and formal publication, Denario provides a flexible, reproducible pipeline that supports both fully automated discovery and human-in-the-loop research management.

主要功能

01Automated hypothesis and methodology generation from raw datasets

02Publication-ready LaTeX paper generation for specific academic journals

03Computational experiment execution with integrated data visualizations

04Interactive GUI for managing the complete research pipeline visually

0581 GitHub stars

06Multiagent orchestration for specialized research and analysis tasks

使用场景

01Generating novel research questions and methodologies from new datasets

02Executing and documenting computational analysis for reproducible science

03Automating the drafting and formatting of journal-specific LaTeX manuscripts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills denario

For use in Claude.ai and ChatGPT

Download Skill