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RRapid-MLX
Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
Lllm-action
This project aims to share the technical principles and practical experience related to large models (large model engineering, large model application implementation)
Popularity
Repository stars4,09425,243Highest
7-day net stars——
Fork4382,858Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-032026-10-14
Maintenance notesNot verifiedNot verified
Repository created2026-02-252023-05-23
License & use
LicenseLicense not declaredApache-2.0 · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeCoding assistants · Model servingModel serving
TypeApps & systemsApps & systems
SubcategoryAI appsAI apps
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonHTML
About this projectRapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.This project aims to share the technical principles and practical experience related to large models (large model engineering, large model application implementation)
Measured at2026-11-03 09:38 UTC2026-11-03 08:25 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.