AI 工具AI TOOLS· IMAGE-VIDEO

mlx-serve

ddalcu/mlx-serve

Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat, music, voice, video generation.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code · opencode
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: 未确认Not confirmed

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

Homebrew

brew install --cask mlx-serve  # the app (recommended)

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

11 OCT 202611 OCT 2026

讨论DISCUSSION

1 SOURCES1 SOURCES

1 条外部提及1 external mentions

状态STATUS

持续活跃Active

相关讨论RELATED DISCUSSIONS

Show HN: Mlx-serve – LLM inference server for Apple Silicon, written in Zig
HN_STORY · 3 points · 0 comments

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/ddalcu/mlx-serve
原始数据哈希Raw data hash: 93f6806719e6aaa9084b27359445731b
解析时间Parsed at: 2026-10-11T23:34:58.534Z
最后一次验证Last verified: 2026-10-11T22:11:29.227Z
增长测量时间Growth measured: 2026-10-11T23:40:53.788Z
发现查询Discovery queries: focus:play:repo:video-generation
分类来源Category source: rules
焦点Focus: play (12)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "tree: .claude/"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …click launchers (Claude Code, OpenCode, Pi) | ✅ | ❌ | ❌ | ❌ | | Pyth…"
    }
  ],
  "apiKey": "Mac. A server started with `--api-key` wants `Authorization: Bearer <key>`",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 10,
      "dev-tools": 1,
      "indie-web": 0,
      "skill-agent": 3,
      "productivity": 0
    },
    "primary": "ai-tools",
    "secondary": "image-video"
  },
  "localRuntime": "MLX *and* GGUF — faster than LM Studio on identical MLX weights. No Python. No",
  "skillMdTotal": 4,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 12,
    "design": 3,
    "browser": 0,
    "devtool": 2,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "4 SKILL.md with name + description",
      "weight": 0.95
    },
    {
      "signal": "skills/ directory with 7 markdown files",
      "weight": 0.75
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme",
    ".claude/skills/bench/SKILL.md",
    ".claude/skills/pr-charts/SKILL.md",
    ".claude/skills/release/SKILL.md",
    "skills/mlx-serve/SKILL.md"
  ],
  "skillMdFetched": 4
}