Laya Serve for macOS: a menu bar app with an OpenAI-compatible endpoint for n8n

Homebrew menu bar server that turns n8n Text Classifier requests into Laya typed questions in ~40 ms. Weights ship inside the app; no network, unloads when idle.

Open on GitHub

Preview of Laya Serve for macOS: a menu bar app with an OpenAI-compatible endpoint for n8n

Launch: Laya
Use case: Business
Format: Repo
Source: github.com

Chris Nesbitt-Smith

Skydiving Web Geek

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mizorewww

@mizorewww · Sep 19

Validated Core ML ports of all Laya checkpoints. One short multilingual decision in 4.98 ms P50 on M3 Max with ANE FP16, at 2.78x better energy per decision than MLX FP16.

雨夹雪❄️

@mizorewww · Sep 20

The port announcement: Laya on MLX, under 1 GB RAM, choosing the snake’s next move 60 times a second on a local M3 Max.

atomic.chat

@atomic_chat_hq · Sep 21

Atomic.chat ran Laya on a 16 GB MacBook Air against Jev over the API on a Grok-built Tetris. Local won on speed: 11x faster decisions.

codejunkie99

@codejunkie99 · Sep 22

Open on GitHub

Laya Serve for macOS: a menu bar app with an OpenAI-compatible endpoint for n8n

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