Cranot/agi-in-md

Cognitive prisms for structural analysis — any domain, any model. 1000+ experiments, 58 prisms, 27 scan modes. The cheapest model + right prism beats the most expensive without one. Cross-architecture validated: Claude + Gemini converge on the same structural laws.

49
/ 100
Emerging

This project helps operations engineers, system architects, and technical leaders get much deeper structural insights from their codebase, design documents, or complex systems. Instead of a superficial analysis of what's wrong, it takes your existing code or text as input and produces a 'conservation law' – a fundamental trade-off that cannot be escaped and dictates why a system must be designed in a certain way. This tool is for anyone who needs to understand the inherent, unchangeable constraints within a technical or conceptual system.

122 stars.

Use this if you need to understand the fundamental, unchangeable trade-offs embedded in a complex system or codebase, going beyond surface-level observations to uncover the 'why' behind its current state.

Not ideal if you need a tool to reliably find specific bugs, generate general truths, or perform quick, factual checks, as its strength lies in structural analysis rather than pinpointing exact errors.

system-architecture software-design technical-strategy complex-problem-solving operations-engineering
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 11 / 25
Community 15 / 25

How are scores calculated?

Stars

122

Forks

16

Language

Python

License

MIT

Last pushed

Mar 17, 2026

Commits (30d)

0

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