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Scheduled launch — Aug 31, 2026

oMLX is listed on AI Kaptan and will enter the daily launch competition on that day. Community upvotes open on launch day.

oMLX
Developer Tools
Free

oMLX

Mac LLM server that cuts agent wait times from 90s to 5s using Apple Silicon and a tiered RAM+SSD KV cache.

Rating
0
Reviews
0
Upvotes
about 3 hours ago
Listed
Open Source
Developer Tools
Artificial Intelligence
LLM Server
Apple Silicon
macOS
Tool information
Provider
jundot
Platforms
macOS
Languages
English
Korean
Japanese
Chinese
API Available
Yes
Added to directory
about 3 hours ago
Last updated
about 3 hours ago
Rating
Not available
Pricing
Free

About oMLX

What the tool does and who it's for

oMLX is an open-source Mac LLM inference server designed specifically for Apple Silicon (M1/M2/M3/M4) and built on Apple's MLX framework. Run directly from the macOS menu bar, it dramatically speeds up AI developer workflows with tools like Claude Code and Cursor by cutting agent wait times from 90 seconds down to around 5 seconds. Key features include continuous batching, native Swift menu bar interface, and a tiered RAM+SSD Key-Value (KV) cache stored in safetensors format that survives server restarts. It supports text LLMs, vision-language models (VLM), OCR models, embeddings, and reranker models, while providing drop-in compatible APIs for OpenAI and Anthropic. The project is released under the Apache 2.0 license.

Key capabilities

RAM+SSD Tiered KV Cache that persists across restarts to minimize recomputation
Continuous batching for efficient multi-request inference using Apple's MLX framework
Native macOS menu bar control app (Swift/PyObjC, not Electron)
OpenAI and Anthropic drop-in API compatibility for easy developer integration
Support for text LLMs, Vision-Language Models (VLM), OCR models, embeddings, and rerankers
Web admin dashboard at /admin for real-time monitoring, model management, benchmark tests, and local chat
HuggingFace model downloader built right into the admin panel
Automatic discovery of models stored in local directories
Model pinning, LRU cache eviction, and per-model idle timeout auto-unloading (TTL)
Open source under the Apache 2.0 license

Pricing

Free — plans below

Free / Open Source

Most popular

$0

  • Full access to source code
  • Apache 2.0 license
  • Unlimited local model execution
  • OpenAI and Anthropic API compatibility
  • RAM+SSD KV Caching & continuous batching

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