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OpenMythos

Skill Development Solid

A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

9,997 starsMIT (commercial OK)FreeQuick setup

Provides a reference implementation for understanding Claude's underlying architecture patterns, useful for teams building compatible or complementary systems. Helps developers reverse-engineer design principles from public research rather than relying on black-box behavior.

AI researchers, architecture students, and developers building custom inference systems who want to study Claude's design without access to official source code.

Claude Code Claude Cowork Claude Chat

https://github.com/kyegomez/OpenMythos

By kyegomez

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install kyegomez/OpenMythos

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars9,997Contributors1Last updated2026-04-22LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-24 · scanner v1

Community Pulse Active

Discussed on Hacker News, Reddit

18 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 9,997 GitHub stars; 1 contributors; last commit 28d ago; license MIT.

Things to check

  • Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 9,997 GitHub stars; 1 contributors; last commit 28d ago; license MIT.

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