denario

原文涵盖的主题

• Denario
• Overview
• When to Use This Skill
• Installation
• LLM API Configuration
• Core Research Workflow
• 1. Data Description
• 2. Idea Generation

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. 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 Install denario using uv (recommended): Or using pip: For Docker deployment or building from source, see references/installation.md. 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/llmconfiguration.md. Denario follows a structured four-s

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