LibreAI / AI Music / MSST-WebUI
// ai-music · SUC-DriverOld/MSST-WebUI

MSST-WebUI

MSST-WebUI is an open-source ai music project by SUC-DriverOld (SUC-DriverOld/MSST-WebUI on GitHub). It has 1,266 GitHub stars and 86 forks, is released under the AGPL-3.0 license, and was last updated on GitHub on 16 September 2026.

A WebUI app for Music-Source-Separation-Training and we bundled UVR together!

💎 Hidden gem★ 1.3k stars⑂ 86 forksAGPL-3.0updated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

GitHub stars
1,266
Forks
86
License
AGPL-3.0
Last updated on GitHub
16 September 2026
Category
AI Music
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
GitHub
// how it works

How it works

  1. Get the code

    Clone SUC-DriverOld/MSST-WebUI and move into the project folder.

  2. Install dependencies

    Install the Python requirements with pip — a virtual environment keeps things clean.

  3. Prepare your audio

    Gather the tracks or stems you want to process.

  4. Run the pipeline

    Start the job and listen to the result.

// features

Why people love it

MSST

Focused on msst as a core part of the project.

Music

Music-centered features.

Python

Python codebase — easy to read, fork, and extend.

AGPL-3.0

AGPL-3.0 licensed — copyleft, including network use.

Open development

Public repo — issues and pull requests are welcome.

Community-driven

Fork it and make it your own.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/SUC-DriverOld/MSST-WebUI.git
    cd MSST-WebUI
  2. Step 2 — Install dependencies

    Set up what the project needs to run.

    pip install -r requirements.txt
  3. Step 3 — Run it

    Start the app — the README has the exact command and flags.

    python main.py  # entrypoint varies — check the README
// use cases

What you can build

  • Prepare karaoke-ready instrumentals.
  • Experiment with audio ML locally.
  • Remix songs from isolated vocals.
  • Build DJ sets around AI tools.
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// faq

Questions, answered

What license is it under?

AGPL-3.0 licensed — copyleft, including network use.

How hard is it to install?

Clone the repo and pip-install the requirements — the README covers the exact steps.

Where do I get help?

The GitHub repo's issues and discussions are the main support channel.

Is the project still maintained?

Last pushed 2026-09-16 with 86 forks. Skim recent commits to gauge momentum before relying on it.

Can I contribute?

Yes — it is open source, so issues and pull requests are welcome.

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// more in ai-music

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Get MSST-WebUI

Free and open — grab the source, star the repo, and start creating.