📊 Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking
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Updated
Jul 6, 2026
📊 Websites, Resources, Devices, Wearables, Applications, and Platforms for Self Tracking
Self-hosted platform to unify wearable health data through one AI-ready API.
MentraOS is the leading smart glasses OS. See live captions, stream your view, talk to AI, and capture photos hands-free on compatible glasses.
Turn scattered health data into answers you can trace. Self-hosted AI health data engine for lab reports, wearables and genetics, with a built-in MCP server. Run it with Docker and one LLM key, or keep every model local on llama.cpp.
Open Source smart glasses designed to be 1. All day wearable 2. Immediately useful 3. Extendable for makers, startups, and everyone else.
App which allows you to use your health devices beyond subscriptions. Supports Workout Tracking, Nutrition Tracking, Wellness Excercise, Sleep, Recovery, Strain, and Many more.
Multi-modal voice agent for your AI agents. Talk with Claude Code, Codex, and others by voice: answer their prompts, give instructions, ask what they did. Or just nod.
Directus Database API — Wraps Custom SQL Databases with a REST/GraphQL API
A privacy-first, subscription-free health tracker for affordable wearables.
A PulseSensor library (for Arduino) that collects our most popular projects in one place.
A free and open-source 2FA app for smartwatches.
Smart glasses software framework. Write 1 app that runs on any pair of smart glasses.
Wearable computing software framework for intelligence augmentation research and applications. Easily build smart glasses apps, relying on built in voice command, speech recognition, computer vision, UI, sensors, smart phone connection, NLP, facial recognition, database, cloud connection, and more. This repo is in beta.
Open-source iOS app connecting Meta Ray-Ban smart glasses to AI — 5 backends (on-device MLX models, Apple Intelligence, OpenAI, Gemini Live, OpenClaw), on-device neural voice, face recognition & live web search. Private and offline-capable.
Open-source, local-first iOS companion for compatible WHOOP straps. Live HR and evidence-qualified personal metrics over Bluetooth—no WHOOP account, subscription, or cloud.
Free, open, MIT health-analytics engine — recovery, sleep, HRV, strain, calories — no subscription. Currently reads WHOOP 5.0 / WHOOP MG sensors; iOS only (Android not yet). Golden-vector tested, pure Swift.
Making Meta Ray-ban / Oakley glasses smarter. Non-Meta Model selection, agentic features, smart guidance.
native macos controls for the meta neural band (highly experimental)
Python package for the processing and analysis of Inertial Measurement Unit Data
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