| 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 | |
| ```bibtex | |
| @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* | |