Record and automatically summarize every meeting and conversation throughout your day without taking manual notes.
Build a third-party integration using the REST API to connect your Omi memories to Notion, Slack, or other productivity tools.
Run the open-source mobile app as a free personal AI memory system without purchasing the hardware device.
Connect Omi conversation memories to an AI coding assistant via the Model Context Protocol server.
| basedhardware/omi | felangel/bloc | cfug/dio | |
|---|---|---|---|
| Stars | 12,517 | 12,451 | 12,813 |
| Language | Dart | Dart | Dart |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 4/5 | 3/5 | 2/5 |
| Audience | general | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Mobile app works without hardware, the physical Omi Bluetooth device or ESP32 Omi Glass accessory is optional for full wearable capture.
Omi is an open-source AI system that captures what you see and hear throughout the day, then lets you chat with an AI that remembers all of it. It is described as a second brain: you run it in the background, and it transcribes conversations in real time, generates summaries and action items, and stores everything in a searchable memory that persists across sessions. The system works across multiple form factors. A macOS desktop app captures screen activity and audio from your computer. A mobile app for iOS and Android pairs with optional wearable hardware. The wearable itself is a small Bluetooth device sold by BasedHardware that clips on or hangs around the neck and records ambient audio continuously for over 24 hours on a battery charge. A companion device called Omi Glass is an ESP32-based camera and microphone accessory for those who want to capture video as well. All the hardware designs are open source. The backend is written in Python using FastAPI. Audio streams are transcribed using Deepgram, processed for voice activity detection and speaker identification, and then summarized and analyzed by large language models. Conversation history and memories are stored in Firebase. The entire pipeline runs in real time. Third-party developers can build integrations using a REST API, SDKs for Python, Swift, and React Native, and a Model Context Protocol server for connecting Omi memories to AI coding assistants and agents. The project is released under the MIT license and reports over 300,000 users. It can be tried in a browser without hardware at app.omi.me.
Open-source AI wearable and app that records your conversations all day, transcribes them in real time, and gives you an AI that remembers everything, works as a mobile app, desktop app, or paired with an optional Bluetooth clip-on device.
Mainly Dart. The stack also includes Python, FastAPI, Dart.
MIT license, use freely for any purpose including commercial projects, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
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