Most LLMs are "Black Boxes". I wanted to build a "Glass Box" where every output traces back to a certified source.

The Architecture:

The Kernel: Instead of vectors, state is represented as Integers. We use the Fundamental Theorem of Arithmetic (Unique Prime Factorization) to encode concepts. Example: If Time = 3 and Space = 5, then Spacetime = 15. This allows for reversible "time-travel debugging" by just dividing integers. The Hypervisor (Bija): It doesn't just run cycles; it runs "Frequency Modulations". The kernel itself is coded in specific Prime Frequencies (Hz). Execution is effectively a "Resonance" state between the Instruction and the Data, rather than a fetch-decode-execute pipeline. The Data (< 2MB): We compressed the entire Constitution of India, the IPC, and an Indo-European Etymology Dictionary into a <2MB bundle using a custom schema-based compression (Pingala). Why?

Sovereignty: The logic and data are locally owned. No API calls. Green AI: It runs on my MacBook's CPU with negligible heat/power. Vedic Logic: It implements Panini's Grammar rules (Ashtadhyayi) as a graph traversal algorithm rather than just statistical attention. It's definitely experimental, but it questions the "Scale is All You Need" dogma. Would love feedback on the reversible prime state machine logic.

Links:

Code: https://github.com/akulasairohit/meru-os Live Demo: https://huggingface.co/spaces/akulasairohit/panini-demo The Manifesto: https://www.linkedin.com/pulse/introducing-meru-os-worlds-fi...

Thanks, Rohit