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Home/Categories/AI & Machine Learning/omi
Logo of omi

omi

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

12.5K starsDartMITActive this month
Visit websiteGitHub repo
Screenshot of omi
Contents
  1. 01Who omi is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Tech stack
  6. 06FAQ
  7. 07Similar open-source tools
TL;DR

omi is an open source AI wearable and memory project for builders experimenting with voice capture, personal context, and hardware-assisted assistants. It is a better fit for developers exploring wearable AI than for buyers looking for a polished replacement for a discontinued consumer device.MIT · Dart · 12.5K stars · Active this month

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
CC++DartJavaScriptPythonRustSwiftTypeScript
Frameworks
Next.jsReact
Cache
Redis
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.

also worth a look

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Repository

Stars
12.5K
Forks
2K
License
MIT
Latest
v0.11.396+11396-macos
Last commit
24 days ago
Last verified
May 13, 2026
Repo
BasedHardware/omi ↗

Additional details

Language
Dart
Open issues
490
Contributors
196
First release
2024

Categories

AI & Machine LearningBusiness & ProductivityDeveloper Tools

Tags

Personal AssistantScreen RecordersKnowledge ManagementSelf HostedLLMAI AgentsNote-taking Apps