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dragon-framework-paper
hayulalab/dragon-framework-paper
dragon-framework-paper is a machine learning model from hayulalab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Updated Jul 8, 2026
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- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- a5ee7755
Model card
From the Hugging Face model README
DRAGON: A Hierarchical Multi-Agent Orchestration Framework for Distributed AI Systems — Hayula Research
Hayula AI Lab
Abstract
We present DRAGON (Decompose-Route-Allocate-Generate-Orchestrate-Network), a hierarchical multi-agent orchestration framework for building distributed AI systems composed of heterogeneous, independently-operating agents. DRAGON organizes 21 specialized agents across four functional divisions—BUILD, CREATE, SECURITY, and HERMES—each powered by distinct models and skill sets, totaling 21 models and 51 skills. The framework implements a five-stage sequential pipeline: Decompose → Route → Allocate →
Files
| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026dragonframework,
title={DRAGON: A Hierarchical Multi-Agent Orchestration Framework for Distributed AI Systems — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/dragon-framework-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026