metadata
title: >-
DRAGON: A Hierarchical Multi-Agent Orchestration Framework for Distributed AI
Systems — Hayula Research
authors:
- Hayula AI Lab
papers:
- paper.md
tags:
- dragon
- multi-agent
- orchestration
- hierarchical
license: mit
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