by kyegomez · Claude Skill · ★ 10.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
OpenMythos Disclaimer: OpenMythos is an independent, community-driven theoretical reconstruction based solely on publicly available research and speculation. It is not affiliated with, endorsed by, or connected to Anthropic or any of their proprietary systems. OpenMythos is an open-source, theoretical implementation of the Claude Mythos model. It implements a Recurrent-Depth Transformer (RDT) with three stages: Prelude (transformer blocks), a looped Recurrent Block (up to ), and a final Coda. Attention is switchable between MLA and GQA, and the feed-forward uses a sparse MoE with routed and shared experts ideal for exploring compute-adaptive, depth-variable reasoning.
| Stars | 10,802 |
| Forks | 2,412 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 54.684/100 |
| Open Issues | 42 |
| Last Updated | 2026-04-27 |
| Created | 2026-04-18 |
| Platforms | claude-code, python |
| Est. Tokens | ~9k |
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OpenMythos is A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.. It is categorized as a Claude Skill with 10.8k GitHub stars.
OpenMythos is primarily written in Python. It covers topics such as ai, anthropic, attention.
You can find installation instructions and usage details in the OpenMythos GitHub repository at github.com/kyegomez/OpenMythos. The project has 10.8k stars and 2412 forks, indicating an active community.
OpenMythos is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenMythos on Agent Skills Hub include claude-code-best-practice, system_prompts_leaks, zcf. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.