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siyaq-context-engineering-paper
hayulalab/siyaq-context-engineering-paper
siyaq-context-engineering-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
- 7a30795f
Model card
From the Hugging Face model README
Hayula Research Paper — Hayula Research
Hayula AI Lab
Abstract
We present Siyaq (Arabic: سياق — "context"), an open-source context engineering framework for AI agents that implements a six-stage pipeline — Perceive, Compress, Remember, Route, Govern, Reflect, Curate — to manage the complete lifecycle of agent context. Unlike existing approaches that treat context as passive input, Siyaq actively constructs, compresses, routes, and governs context to maximize utility while minimizing token consumption. Deployed on an Apple M2 Ultra (192GB) with 22+ local mod
Files
| File | Description |
|---|---|
paper.md | Full paper (Markdown) |
README.md | This model card |
Citation
@techreport{hayulalab2026siyaqcontextengineering,
title={Hayula Research Paper — Hayula Research},
author={Hayula AI Lab},
year={2026},
url={https://huggingface.co/hayulalab/siyaq-context-engineering-paper}
}
hayulalab — Open Source AI Research
- License
- mit
- Created
- Jul 8, 2026
- Updated
- Jul 8, 2026