OpenOS Momo AI — a local, offline compression AI that speaks (DE/EN), inviting independent verification

说明与用途

Momo AI 是一个离线 PWA，提供无损压缩和本地聊天模型，支持可验证的 SHA‑256 循环和本地数据来源。

问题

Users need a privacy‑preserving, on‑device compression and chat AI that can be independently verified for correctness and performance.

结果

The app achieves bit‑exact lossless compression with SHA‑256 round‑trips, realistic compression ratios (−18% on text, −57% on logs, +0.6% on random data), and on‑device chat responses that reference local data. All traffic stays on the device, ensuring privacy.

工作流

• 1. Install the PWA on a device. 2. Use the compression feature to compress a file; the app reports SHA‑256 before/after. 3. Query the chat model with a question; the response includes provenance tags. 4. Run the verification protocol via the provided curl commands to confirm engine fingerprint and round‑trip integrity. 5. Optionally fine‑tune the model locally using the night‑training script and review perplexity metrics.

证据

Nothing leaves the user's device — privacy by architecture, not by promise.

来源

Expected, measured evidence: bit‑exact lossless roundtrips with identical SHA‑256 hashes; realistic compression (−18% on text‑like data, −57% on repetitive logs, +0.6% overhead on random data — math, not a bug); speed measured on your own machine; the chat answers carry provenance entries like "Datenanalyse · Bibliothek (lokal)" whenever they're grounded in your data.

来源