denario

1# Denario
2 
3## Overview
4 
5Denario is a multiagent AI system designed to automate scientific research workflows from initial data analysis through publication-ready manuscripts. Built on AG2 and LangGraph frameworks, it orchestrates multiple specialized agents to handle hypothesis generation, methodology development, computational analysis, and paper writing.
6 
7## When to Use This Skill
8 
9Use this skill when:
10- Analyzing datasets to generate novel research hypotheses
11- Developing structured research methodologies
12- Executing computational experiments and generating visualizations
13- Conducting literature searches for research context
14- Writing journal-formatted LaTeX papers from research results
15- Automating the complete research pipeline from data to publication
16 
17## Installation
18 
19Install denario using uv (recommended):
20 
21```bash
22uv init
23uv add "denario[app]"
24```
25 
26Or using pip:
27 
28```bash
29uv pip install "denario[app]"
30```
31 
32For Docker deployment or building from source, see `references/installation.md`.
33 
34## LLM API Configuration
35 
36Denario requires API keys from supported LLM providers. Supported providers include:
37- Google Vertex AI
38- OpenAI
39- Other LLM services compatible with AG2/LangGraph
40 
41Store API keys securely using environment variables or `.env` files. For detailed configuration instructions including Vertex AI setup, see `references/llm_configuration.md`.
42 
43## Core Research Workflow
44 
45Denario follows a structured four-stage research pipeline:
46 
47### 1. Data Description
48…