mlx-serve — Agent Tool by ddalcu

by ddalcu · Agent Tool · ★ 164

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About mlx-serve

mlx-serve — run any LLM on your Mac OpenAI- and Anthropic-compatible local inference for Apple Silicon — MLX and GGUF — faster than LM Studio on the same file. No Python. No cloud. No Electron. ddalcu.github.io/mlx-serve · Download MLX Core.app · Changelog ★ If mlx-serve saves you from spinning up another Electron app, star the repo — it genuinely helps people fin

agentanthropic-apiapple-siliconclaude-codedeepseek-v4diffusionimage-generationinferencellmlocal-llm

Quick Facts

Stars164
Forks8
LanguageZig
CategoryAgent Tool
LicenseMIT
Quality Score59.192/100
Open Issues2
Last Updated2026-06-20
Created2026-02-17
Platformsclaude-code
Est. Tokens~23k

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Looking for a mlx-serve alternative? If you're comparing mlx-serve with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is mlx-serve?

mlx-serve is Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Includes MLX Core macOS app with chat, agent mode, and tool calling.. It is categorized as a Agent Tool with 164 GitHub stars.

What programming language is mlx-serve written in?

mlx-serve is primarily written in Zig. It covers topics such as agent, anthropic-api, apple-silicon.

How do I install or use mlx-serve?

You can find installation instructions and usage details in the mlx-serve GitHub repository at github.com/ddalcu/mlx-serve. The project has 164 stars and 8 forks, indicating an active community.

What license does mlx-serve use?

mlx-serve is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mlx-serve?

The top alternatives to mlx-serve on Agent Skills Hub include ovo-local-llm, maclocal-api, SAM. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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