OpenMythos
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
Study the theoretical design of a specific AI model based on available research.
From the README
pip install open-mythos #uv pip install open-mythos
- ht is the hidden state after loop t
- e is the encoded input (from the Prelude), injected at every loop
- A and B are learned injection parameters
- The Transformer blocks apply attention and MLP as usual
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeA theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
OpenMythos has 14.7k stars on GitHub. It has been forked 3.3k times. OpenMythos is written mainly in Python. It has been in active development since 2026. OpenMythos is available under the MIT license. Its main topics are ai, anthropic, attention, claude.
What is OpenMythos?
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
Is OpenMythos open source?
OpenMythos is an open-source project. It is released under the MIT license.
Is OpenMythos free?
Yes. OpenMythos is free and open source — you can use, modify and self-host it.
What license does OpenMythos use?
OpenMythos is available under the MIT license.
What language is OpenMythos written in?
OpenMythos is written mainly in Python.
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