omi

Open source alternative to Granola, Limitless, Mem and Otter.ai

13.8K stars
MIT
Active this week
Last commit 2 days ago

Last verified Oct 20, 2026

Track conversations and screen activity with Omi, an MIT-licensed assistant you can self-host, then transcribe, summarize, and search every memory.

Visit website GitHub13.8K Deploy on Hostinger

Read the full breakdownWho it is for, how it works, trade-offs and the FAQ

who it's for

Who omi is for#

Builders prototyping wearable AI

Omi fits developers who want source access while testing personal memory, meeting capture, or ambient assistant ideas.

Skip if:

Skip it if you need a fully supported consumer device with stable retail availability.

Researchers studying personal context tools

The project gives researchers a concrete codebase for exploring voice capture and memory workflows.

Skip if:

Avoid it when policy, consent, or retention requirements are not yet defined.

the problem

The problem it solves#

AI wearable projects sit between hardware, mobile apps, firmware, transcription, and memory retrieval. Closed products make that stack hard to inspect, extend, or repair when the vendor changes direction.

Builders need working source material across the device and software layers, not just a concept video. Without it, experimentation turns into waiting for a manufacturer roadmap or reverse-engineering a black box.

how omi solves it

How it solves it#

Hardware and software repository

The Omi repository includes project code around the wearable device concept, giving builders a starting point for both product behavior and developer extension.

Conversation memory workflow

Omi focuses on capturing spoken context and turning it into searchable personal memory. That makes it closer to an experimental assistant platform than a generic recorder.

Developer app ecosystem

The project positions apps and integrations as part of the assistant workflow, so developers can explore use cases beyond passive transcription.

strengths · trade-offs

Strengths and trade-offs#

Strengths

Built for experimentationOmi is strongest when the goal is learning, prototyping, or extending wearable AI behavior. Public source gives builders more room to test ideas than a sealed consumer gadget.
MIT licenseMIT licensing makes experimentation and commercial prototyping easier than projects with network-copyleft or source-available restrictions.

Trade-offs

-Experimental product categoryWearable AI is still a risky category. Battery life, recording consent, transcription quality, and social acceptance can matter more than the repository itself.
-Not a mature enterprise deviceOrganizations needing procurement, fleet management, compliance controls, and support contracts should treat Omi as exploratory rather than a finished workplace platform.

tech stack · detected from GitHub

What it's built on#

Languages: CDartJavaScriptPythonSwiftTypeScript
Frameworks: FlutterNext.jsReact
Tooling: esbuild

frequently asked

FAQ#

Is omi open source?

Yes. The Omi repository is MIT licensed.

Is omi a Humane Ai Pin replacement?

Not directly. Omi is better framed as an open wearable AI project for builders, not a managed replacement for a discontinued consumer product.

Who should use omi?

Developers and researchers experimenting with wearable AI are the clearest fit.

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Run omi on your own server

Self-host omi on a Hostinger VPS.

Deploy on Hostinger

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Who omi is for#