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hayula-core-paper
hayulalab/hayula-core-paper
hayula-core-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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At a glance
- License
- mit
- Access
- Public
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026
- SHA
- 6ece38b0
Model card
From the Hugging Face model README
Hayula Core: A Self-Improving Agent Platform with Skill-Based Architecture and Multi-Layer Memory — Hayula Research
Hayula AI Lab
Abstract
We present Hayula Core, a self-improving AI agent runtime built from 100% original Python code that replaces Hermes/OpenClaw as the central execution engine of the Hayula Agent OS ecosystem. Unlike existing agent frameworks that wrap monolithic LLM calls in fixed pipelines, Hayula Core introduces a skill-based architecture with 48 registered skills organized across 9 categories, a self-healing cron scheduler with production-proven automatic failure recovery, a four-layer memory system (ephemeral
Files
| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026hayulacore,
title={Hayula Core: A Self-Improving Agent Platform with Skill-Based Architecture and Multi-Layer Memory — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/hayula-core-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026