lmstudio-ai/mlx-engine
LM Studio Apple MLX engine observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 99
- Release rhythm 35
- Longevity 49
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 695
- days_rel: n/a
- days_push: 9
- n_releases_24m: 0
Adoption not part of the score
1165 stars · 133 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
mlx-engine is the Apple MLX-based LLM inference engine that powers LM Studio on Mac, built on mlx-lm with support for vision models via mlx-vlm and structured output via Outlines. It can also be used standalone for model loading and text/vision inference on Apple Silicon.
Use cases
- run local LLM inference on Apple Silicon Macs
- serve MLX models inside LM Studio
- run vision-language models like Pixtral locally on Mac
- generate structured JSON output from local LLMs
- test MLX model inference from the command line
When to choose
- you want fast local LLM inference on Apple Silicon with MLX
- you use LM Studio on Mac and want to extend or understand its MLX engine
- you need vision model support with MLX
When to avoid
- you need inference on NVIDIA GPUs or non-macOS platforms
- you need a production serving stack with OpenAI-compatible APIs out of the box
- you don't use macOS 14+ or Python 3.11
Facets
library · maturity active
llm-inference machine-learning sdk large-language-models machine-learning developer-tools python mlx apple-silicon lm-studio vision-models structured-output macos
1 source
- readme: https://github.com/lmstudio-ai/mlx-engine · fetched 2026-08-28 · dc2ff9c82341
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| lmstudio-ai/mlx-engine | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="lmstudio-ai/mlx-engine")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem