omlx
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Run a local server on your Mac to manage and optimize AI model performance from the menu bar.
From the README
brew tap jundot/omlx https://github.com/jundot/omlx brew install jundot/omlx/omlx # Upgrade to the latest version
- LRU eviction: Least-recently-used models are evicted automatically when memory runs low.
- Manual load/unload: Interactive status badges in the admin panel let you load or unload models on demand.
- Model pinning: Pin frequently used models to keep them always loaded.
- Per-model TTL: Set an idle timeout per model to auto-unload after a period of inactivity.
- Process memory enforcement: Total memory limit (default: system RAM - 8GB) prevents system-wide OOM.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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omlx has 21k stars on GitHub. It has been forked 1.8k times. omlx is written mainly in Python. It has been in active development since 2026. omlx is available under the Apache-2.0 license. Its main topics are apple-silicon, inference-server, llm, macos.
What is omlx?
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Is omlx open source?
omlx is an open-source project. It is released under the Apache-2.0 license.
Is omlx free?
Yes. omlx is free and open source — you can use, modify and self-host it.
What license does omlx use?
omlx is available under the Apache-2.0 license.
What language is omlx written in?
omlx is written mainly in Python.
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