NeptuneHub/AudioMuse-AI
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex
- Stars
- 2.8k
- Forks
- 160
- Open issues
- 30
- Last push
- today
About AudioMuse-AI
AudioMuse-AI is a free, open-source AI inference tool by NeptuneHub, written mainly in Python. AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex. It has 2.8k GitHub stars and 160 forks, and was last updated today. It's released under the AGPL-3.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- AGPL-3.0
- Language
- Python
- Stars
- 2,786
- Last update
- today
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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AudioMuse-AI FAQ
Is AudioMuse-AI free?
Yes. AudioMuse-AI is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does AudioMuse-AI run on a Mac?
Yes. According to the project, AudioMuse-AI works on macOS.
Does AudioMuse-AI need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is AudioMuse-AI still maintained?
Yes. It was last updated today and has 30 open issues on GitHub.
What are alternatives to AudioMuse-AI?
Similar free, open-source tools include llm-action, TensorRT-LLM, AudioMuse-AI-NV-plugin, OpenLLM.