What platforms does mlx-h3 run on?

mlx-h3 runs on the command line.

Is mlx-h3 still maintained?

The GitHub repository shows 2 commits in the last 90 days.

What are alternatives to mlx-h3?

Similar projects tracked by PulseGate include gigachat-audio-mlx, gigaam-multilingual-mlx, and kokoro-mlx.

mlx-h3 is developed by appautomaton.

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mlx-h3

Name: mlx-h3
Author: appautomaton

PyPIInfrastructure

mlx-h3 is a Python package that enables pure MLX-based inference for the MiniMax-H3 model, allowing text-to-video and text-to-audio generation directly on Apple Silicon devices. It leverages the MLX framework for efficient on-device performance without requiring cloud services. The project is open source and hosted on GitHub.

Open SourceCLI

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Overview

4 features

mlx-h3 is an AI & ML project. It focuses on running high-quality text-to-video and text-to-audio generative AI models locally on Apple Silicon hardware. mlx-h3 is an open-source project aimed at developers. mlx-h3 is open source under the Open Source license. It ships for the command line.

appautomaton builds and maintains mlx-h3, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Key capabilities include text-to-Video, text-to-Audio, and Apple Silicon Optimized.

Summary written by a language model from the project’s public pages.

Text-to-Video
Text-to-Audio
Apple Silicon Optimized
MLX Backend

Built with & integrations

Runs on

CLI

Trust & compliance

License

Open Source

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed4 Aug · 22:26 UTC
mlx-h3 verified against its public source
Source: PulseGate · Open

Frequently asked questions about mlx-h3

What does mlx-h3 do?: Mlx-h3 focuses on running high-quality text-to-video and text-to-audio generative AI models locally on Apple Silicon hardware. It is catalogued under AI & ML on PulseGate.
Who is mlx-h3 for?: mlx-h3 is an open-source project built for developers.
Is mlx-h3 free?: Yes — mlx-h3 is open source under the Open Source license and free to use.
What platforms does mlx-h3 run on?: mlx-h3 runs on the command line.
Is mlx-h3 still maintained?: The GitHub repository shows 2 commits in the last 90 days.
What are alternatives to mlx-h3?: Similar projects tracked by PulseGate include gigachat-audio-mlx, gigaam-multilingual-mlx, and kokoro-mlx.gigachat-audio-mlx gigaam-multilingual-mlx kokoro-mlx
Who makes mlx-h3?: mlx-h3 is developed by appautomaton.
When did mlx-h3 launch?: mlx-h3 first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: Open Source
First seen: 4 Aug 2026
Built for: developers
Model: Open source
Solves: Running high-quality text-to-video and text-to-audio generative AI models locally on Apple Silicon hardware.

Registered as

GitHub: appautomaton/mlx-h3
PyPI: mlx-h3

Developer

appautomaton

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 4 Aug 2026
Commits 90d: 2
Contributors: 1
Authorship: Solo
Default branch: main

Live coverage

Identity confidence: Low · 64
Indexed: 4 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 4 Aug 2026

Identity audit (13)

Slug: mlx-h3-pypi-org
Lifecycle state recorded: 4 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 4 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 4 Aug 2026
Canonical URL: https://pypi.org/project/mlx-h3

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