Official public release of MirrorLoop Core (v1.3 – April 2025)
📄 DOI: 10.5281/zenodo.15127496
MirrorLoop is a reflective testing framework for language models. This repository contains the official public release of version 1.3 (Core Edition).
MirrorLoop Core enables structured evaluation of:
- Semantic drift
- Coherence illusion
- Rhetorical evasion
- Recursive awareness
This release introduces:
- Loop Mechanism (5 iterations)
- MirrorLoop Score (0–5 + interpretive reflection)
- Comparison module (2 sessions side-by-side)
- PDF/CSV/JSON exports
MirrorLoop is not designed to optimize output. It is a lens — a mirror — to reflect what systems conceal or distort.
All rights reserved.
This framework, known as MirrorLoop, is an original behavioral evaluation system for AI authored by Jonas Jeschke. No part of the framework, its methodology, documents, or branding may be reproduced, distributed, or used in any form without explicit written permission from the author.
MirrorLoop Core is documented for research transparency only. Commercial, educational, or system-integrated use requires a separate license agreement.
MirrorLoop_Framework_Core_PUBLIC_V1.3.pdf
– Full public release documentLICENSE.txt
– License terms
- MirrorLoop Deep (licensed layer)
- Public prototype trial (v1.4+)
- Official site: mirrorloop.io (upcoming)
For licensing or collaboration inquiries, contact: mirrorloop.framework@gmail.com