You're confusing "no code" with "GitHub UI not loading files on your end."

The repository contains:

src/rememberme/csnp.py – Core CSNP protocol implementation

src/rememberme/optimal_transport.py – Wasserstein distance computation

src/rememberme/coherence.py – CoherenceValidator class

benchmarks/hallucination_test.py – Zero-hallucination validation tests

How to run it:

bash git clone https://github.com/merchantmoh-debug/Remember-Me-AI cd Remember-Me-AI pip install -r requirements.txt python benchmarks/hallucination_test.py How it's different from "stateful agents and context engineering":

Traditional RAG:

Embed chunks → Store vectors → Retrieve via cosine similarity

No mathematical guarantee that retrieved ≈ stored

Hallucination = P(retrieved ≠ original | query) > 0

CSNP:

Map memory to probability distribution μ₀

Maintain coherent state: μₜ = argmin{ W₂(μ, μ₀) + λ·D_KL(μ||π) }

Bounded retrieval error: ||retrieved - original|| ≤ C·W₂(μₜ, μ₀)

Set coherence threshold = 0.95 → W₂ < 0.05 → retrieval error provably < ε

This isn't "prompt engineering." It's optimal transport theory applied to information geometry.

If W₂(current, original) exceeds threshold, the system rejects the retrieval rather than hallucinating. That's the difference.

Run the code. Check papers/csnp_paper.pdf for the formal proof. Then tell me what breaks.