denariolisted

# Denario ## Overview Denario 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. ## When to Use This Skill Use this skill when: - Analyzing datasets to generate novel research hypotheses - Developing structured research methodologies - Executing computational experiments and generating visualizations - Conducting literature searches for research context - Writing journal-formatted LaTeX papers from research results - Automating the complete research pipeline from data to publication ## Installation Install denario using uv (recommended): ```bash uv init uv add "denario[app]" ``` Or using pip: ```bash uv pip install "denario[app]" ``` For Docker deployment or building from source, see `references/installation.md`. ## LLM API Configuration Denario requires API keys from supported LLM providers. Supported providers include: - Google Vertex AI - OpenAI - Other LLM services compatible with AG2/LangGraph Store API keys securely using environment variables or `.env` files. For detailed configuration instructions including Vertex AI setup, see `references/llm_configuration.md`. ## Core Research Workflow Denario follows a structured four-stage research pipeline: ### 1. Data Description Define the