Denario is a multiagent AI system designed to automate scientific research workflows, helping users move from data analysis to LaTeX publication efficiently.

Which LLMs does Denario support?

Denario supports Google Vertex AI, OpenAI, and other LLM services compatible with the AG2 and LangGraph frameworks.

Can Denario generate papers for specific journals?

Yes, it supports specific journal formatting such as APS (American Physical Society) and can be extended for other publication templates.

What are the system requirements for Denario?

Denario requires Python 3.12 or higher and is recommended to be used with uv or Docker to manage LaTeX and environment dependencies.

Does Denario handle data visualization?

Yes, the system can execute computational experiments and generate corresponding visualizations as part of its results generation stage.

Denario Scientific Research Agent

Name: Denario Scientific Research Agent
Author: Activer007

byActiver007

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データサイエンスとML

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

概要

Denario is a comprehensive multiagent AI framework designed to streamline the scientific discovery process by orchestrating specialized agents for every stage of research. Leveraging AG2 and LangGraph, it enables users to generate novel research ideas from raw datasets, develop rigorous methodologies, execute computational experiments, and format findings into professional journal papers. Whether you are conducting literature searches or generating complex visualizations, Denario provides a structured, reproducible pipeline that accelerates the path from raw data to academic publication.

主な機能

Support for computational experiment execution and automated data visualization
Multiagent orchestration for specialized research tasks using AG2 and LangGraph
Automated generation of publication-ready LaTeX manuscripts with journal-specific formatting
End-to-end research pipeline covering idea generation, methodology, and results
Seamless integration with Google Vertex AI and OpenAI for advanced reasoning
1 GitHub stars

ユースケース

Developing complex research methodologies and executing automated computational analyses
Accelerating the academic publication process by automating LaTeX formatting and manuscript drafting
Generating and testing novel research hypotheses from large datasets using AI agents

概要

主な機能

Support for computational experiment execution and automated data visualization
Multiagent orchestration for specialized research tasks using AG2 and LangGraph
Automated generation of publication-ready LaTeX manuscripts with journal-specific formatting
End-to-end research pipeline covering idea generation, methodology, and results
Seamless integration with Google Vertex AI and OpenAI for advanced reasoning
1 GitHub stars

ユースケース

Developing complex research methodologies and executing automated computational analyses
Accelerating the academic publication process by automating LaTeX formatting and manuscript drafting
Generating and testing novel research hypotheses from large datasets using AI agents