jundot / omlx
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
Why this job: says: inference server, llm inference; topics: apple-silicon, mlx

What it does
- Hot tier (RAM). Frequently accessed blocks stay in memory for fast access.
- Cold tier (SSD). When the hot cache fills up, blocks are offloaded to SSD in safetensors format. On the next request with a matching prefix, they're restored from disk instead of recomputed from scratch - even after a server restart.
- 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.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 23,475
- +198 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- Mac
- From the latest release
- Latest version
- v0.7.4.dev1
- Released 5 days ago
- Built with
- Python
- 81% of the code
Is it looked after?
- Contributors
- 27
- Last 90 days
- Issues
- 86% closed
- 333 still open
- Pull requests
- 1,288 merged
- 204 waiting
- Releases
- 137
- 30+ in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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|---|---|---|---|---|
| waybarrios / vllm-mlx | 1,651 | 2 days ago | Apache-2.0 | No downloads |
| vllm-project / vllm-metal | 1,974 | today | Apache-2.0 | Mac |
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More: download files, languages, topics and project record
Languages
- Python 81%
- Swift 8%
- HTML 5%
- JavaScript 2%
Topics
- apple-silicon
- inference-server
- llm
- macos
- mlx
- openai-api
Project record
- JobLocal LLMs
- StatusFeatured
- Commits3,637
- Forks2,113
- Watching114
- Stars in 28 days+811
- CreatedFeb 13, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
