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Best Open-Source AI Music Tools

Compose, separate, and master music with AI.

74 tools · 💎 50 hidden gems

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Start here

The most-starred projects in this category, plus a rotating pick of three more from deeper in the list — refreshed so the whole catalogue gets its turn in the window.

AI Music

YuE

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

★ 10.8k starsApache-2.0
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AI Music

ace-step-ui

🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!

★ 5.0k starsUnknown
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AI Music

ACE-Step

ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0

★ 5.0k starsApache-2.0
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AI Music

voirs

Rust voice framework: TTS, recognition, and sound in one fast stack.

★ 46 starsCustom
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AI Music

stemgen-rt

Run stemgen-rt locally: stemgenrt is a real-time low-latency music source separ.

★ 46 starsMIT
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AI Music

torch-l1-snr

Loss functions for training audio source separation models.

★ 45 starsMIT
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About Best Open-Source AI Music Tools

AI music tools here split into generators that compose original tracks from a prompt, separators that pull a song apart into vocals and instruments, and production helpers for mastering, MIDI, and arrangement. Everything listed is open source, so the tools can sit inside a real production workflow.

The generators differ in what they produce: full mixed songs, loopable stems, or symbolic MIDI you can finish in a DAW. Separators are the quiet workhorses — they power karaoke tracks, sampling, remixes, and practise-along recordings.

How to choose

  • If you produce music, prioritise tools that export stems or MIDI over ones that only export a finished mix.
  • Check the licence of both the tool and its bundled model before releasing anything commercially.
  • Separation quality depends on the source: clean studio tracks separate far better than live recordings.
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Questions, answered

Which open-source AI Music tools are listed here?

This page collects 74 open-source AI Music projects curated by LibreAI — Compose, separate, and master music with AI. Each one is verified on GitHub and has its own guide page with an overview, install steps, use cases, and an FAQ, so you can judge fit, requirements, and licensing before you download anything.

Are these AI Music tools free to use?

Yes. Every tool here is open source and free to download and use under its own license — most use MIT, Apache-2.0, or GPL-3.0, and any custom source-available license is flagged on the tool's page. Check the LICENSE file before commercial use.

Does LibreAI host these tools?

No. LibreAI publishes guides only — no downloads are served from this site, and no tool here is mirrored or repackaged by us. Every install comes from the project's official GitHub repository, which each guide links to directly, so you always get the genuine, current release from the people who build and maintain the tool.

How do I install a AI Music tool from this page?

Open the tool's guide and follow its 'Run it yourself' section — the steps come from the project's own documentation — or use the 'View on GitHub' button to go straight to the official repository. Each guide also states the tool's requirements first, so you can check your machine qualifies before downloading anything.

How were these tools chosen?

Every project is verified live through the GitHub API — stars, forks, license, and recent activity — and listed only if it has real momentum and an active community. Projects are re-checked as the catalogue is refreshed, and any project that goes quiet or changes its licensing terms has that noted on its page.

Can I release music made with these tools?

That depends on the licences of both the tool and the model it bundles, which differ per project. The guides link to each repository where the terms are stated — read them before a commercial release. Some projects are fully permissive; others restrict commercial use of outputs or require attribution, so the check takes minutes, not assumptions.

What is stem separation used for?

Separating a track into vocals, drums, bass, and instruments powers remixes, karaoke and practise tracks, sampling, and cleaning up recordings. It is the most immediately practical corner of this category for working musicians. Producers also use separated stems to lift a clean sample, rebalance a live recording, or study an arrangement part by part.