Denario is a specialized multiagent AI system designed to automate scientific research tasks, including data analysis, hypothesis generation, methodology development, and LaTeX paper writing.

Which journal formats does Denario support?

Denario currently supports the American Physical Society (APS) format, with a modular architecture that allows for additional journal styles through its pipeline.

Do I need my own LLM API keys?

Yes, Denario requires API keys from providers like Google Vertex AI or OpenAI to power the agents responsible for analysis and writing.

Can I use Denario for only specific parts of my research?

Yes, Denario supports hybrid workflows where you can provide your own research ideas or methodologies manually and use the skill only for execution or paper generation.

What are the system requirements for Denario?

Denario requires Python 3.12 or higher and is best installed using the 'uv' package manager or deployed via Docker for LaTeX dependency management.

Denario Scientific Research Assistant

Name: Denario Scientific Research Assistant
Author: Zehong-Wang

byZehong-Wang

0•

数据科学与机器学习

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

Denario is a powerful multiagent AI system designed to streamline the academic research process by orchestrating specialized agents through the AG2 and LangGraph frameworks. It assists researchers at every stage of the pipeline, including generating novel hypotheses from datasets, developing rigorous methodologies, executing computational experiments, and producing formatted journal papers. Whether you are stuck at the brainstorming phase or need to automate the tedious task of LaTeX formatting for specific journals like APS, Denario provides a structured, reproducible, and highly customizable environment for scientific discovery.

主要功能

01Automated hypothesis generation based on data descriptions

02Publication-ready LaTeX paper generation with journal-specific formatting

03Execution of computational analysis and automated visualization

04Multi-agent orchestration for methodology and experiment development

050 GitHub stars

06Interactive research management via CLI and web-based GUI

使用场景

01Automating literature-backed methodology development for new scientific projects

02Accelerating the transition from raw data analysis to a structured research paper

03Generating standardized LaTeX manuscripts for submission to the American Physical Society (APS)

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add zehong-wang/kosmos denario

For use in Claude.ai and ChatGPT

Download Skill