BasedHardware/omi

omi

AI that sees your screen, listens to your conversations and tells you what to do

RepositoryHomepage
41/100
Stars12,899
Forks2,076
LanguageDart
LicenseMIT

Usage guide

omi is an open-source project around app, bci, c with 12,899 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.

Repository license: MITCommercial use permitted, review additional terms

Key features

  • Implemented mainly in Dart, useful for judging integration effort in a similar stack.
  • GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
  • The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.

Best for

  • Evaluating omi for Dart AI workflows.
  • Comparing a GitHub project with 12,899 stars and current repository activity.

Pros

  • omi has visible GitHub traction with 12,899 stars. Topics: ai, app, bci.
  • The project provides an external homepage for deeper evaluation.

Cons

  • Production fit still depends on documentation depth, issue activity, and release cadence.
  • License review should confirm the MIT terms fit your use case.

Production readiness

omi should be validated with its README, release history, open issues, and integration requirements before production use.

License risk

MIT is reported by GitHub; review the repository license before redistribution or commercial use.

omi architecture preview

omi's main path starts at the entry surface, runs through omi core runtime, combines Optional AI model, Runtime context, GitHub, and returns User-facing result.

Entry

Web / product entry

Users start from a web UI, hosted product surface, or browser-based workflow.

https://omi.me

Runtime

omi core runtime

The core coordinates project logic, configuration, and AI-related execution in Dart.

Dart

Runtime dependencies

Model

Optional AI model

The project connects its core runtime to local models or hosted AI APIs when model inference is required.

model signal

Context

Runtime context

Runtime state, user input, repository files, or configuration provide context for each task.

context signal

Tools

GitHub

Tool adapters let the runtime act outside the model through GitHub.

GitHub

Output

User-facing result

The final output is returned to the user, workflow, API caller, or downstream system.

output

Featured video

LatinHype

YouTube

OMI - Cheerleader (Felix Jaehn Remix)

12,998,372 views ยท 2025-01-20

Install tutorial

Before you install

  • Local build tools for compiling the project
  • A clean working directory for the first test run
1
Step 1

Check the runtime environment

omi may require a local build toolchain. Check the compiler, package manager, and system dependencies first.

2
Step 2

Get the project files

Start from the official repository or package so the first run matches the documented behavior.

terminal
$ git clone https://github.com/BasedHardware/omi.git && cd omi/desktop && ./run.sh --yolo
3
Step 3

Install or build dependencies

Run the next setup command detected from the project documentation.

terminal
$ make setup

Adoption guidance and sources

Practical use cases

AI that sees your screen, listens to your conversations and tells you

This is one of the documented reasons to evaluate omi before choosing a stack.

Focus area: ai

This is one of the documented reasons to evaluate omi before choosing a stack.

All project comparison

Compare omi with similar projects before committing to a stack.

Before adopting

  • Complete one clean-environment verification using the official omi setup path.
  • Review repository license, model weights, external services, and dependency terms for your use case.
  • Check recent commits, release cadence, issue response, and documentation depth.
  • Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.

Configuration notes

  • Review README configuration notes before using production data.

Sources checked

These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.

Troubleshooting

  • If installation fails, first confirm the command is being run from the README-specified directory.
  • If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
  • If output looks wrong, return to the smallest documented omi example before adding complex data.
  • For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
  • Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is omi?

omi is an open-source all project. AI that sees your screen, listens to your conversations and tells you what to do

How do I install omi?

Start with the official README. The first detected setup step is: git clone https://github.com/BasedHardware/omi.git && cd omi/desktop && ./run.sh --yolo.

Is omi beginner-friendly?

If you already know the Dart ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.

Can omi be used commercially?

GitHub detected the MIT repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.

Does omi need a GPU?

GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.

How should I decide whether to adopt omi?

Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.

Star trend

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