hayulalab/hayula-core-paper

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}
}

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hayulalab — Open Source AI Research