Vision-driven, local-first
Personal data should stay personal.
MYNAH is an open-source framework for collecting and analyzing personal data without cloud dependency. The goal is long-term user control, transparency, and local intelligence that improves over time.
Vision
There have never been more possibilities to collect and analyze personal data to improve people's lives. The problem is trust: many existing systems are built on cloud dependency and opaque data ownership, which discourages people from collecting the very data that could help them.
MYNAH is built on the opposite premise. Personal data stays personal. The wearable transfers data to the hub only in close proximity over a secure connection, voice notes are captured by a hardware button and processed locally, and the LLM runtime is fully local. No always-on network requirement is needed for core operation, and exports start with explicit USB transfer.
This project is designed to evolve without locking users in. Compute and storage can be swapped as hardware improves, local models can improve over time, and analysis quality can grow with better models and richer data. Everything remains fully open-source, because transparency is not a feature layer here, it is the foundation.
Full statement: vision.md
System Architecture
Core runtime flow from user interaction to local compute and secure export.
Product Renders
Early visual direction for the wearable and compute unit.
AI-generated placeholder render. Not final industrial design.