laya-mlx plays Snake at 60 decisions per second on an M3 Max
介绍比Jev快50倍，在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统 我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇 这个模型能够以每秒决策60次的速度玩贪吃蛇！
Project: laya-mlx→The Laya project directory
Everything the world is building on Laya.
Laya turns any text into typed decisions in milliseconds, on your own machine. Here is what it does, and 952 projects people built with it.
real run · laya-mlx
Input text
“Hi, we were billed twice for March. Please refund the duplicate today or we will cancel our plan.”
laya-mlx · 146 input tokens · 0 output tokens
Which team should handle this ticket?
choice✓ billing98%
technical1%
sales1%
How urgent is this?
scorenot urgent4%
soon15%
✓ blocking81%
Does the customer threaten to cancel or leave?
yes / no✓ yes84%
no16%
Decided in 30.7 ms · 3 typed answers · one forward pass
Real outputs from Laya, not a mock-up. Run it yourself →
- Projects
- 952
- New this week
- 952
- Platforms
- 18
Seen on X this month
All demos →
Local Laya beats Jev at Tetris on a MacBook Air
Local Laya moggs Jev at @grok 4.7-built Tetris 🧩 An open-weights System One model called Laya, beat cloud-based Jev at playing Tetris by making decisions 11 times faster, running locally on a 16GB MacBook Air! Run AI models locally ->
Jev decision layer routes tasks and recovers from tool failures
jev + opus 5.5... i simply can't comprehend why everyone isn't building this yet. in my workflow, this cut costs and time by ~80%. i think it's one of the best ways to use it. → pick relevant project notes before loading the context → route suitable tasks to a faster worker → choose a recovery path when a tool fails → run focused checks before the full test suite opus handles the hard reasoning. jev picks from options the harness prepares and validates. i explain how to build the decision layer in the article below:
Laya plays Tetris locally with decisions in about 27 milliseconds
This is NOT Jev. Open source. Runs on your laptop. Decides in ~27 ms, about 200× faster than waiting on a hosted LLM. Here it is playing Tetris by itself 👇
laya-coreml runs 99.5% of operations on ANE at 3.7 ms per decision
Thanks for the model, we were able to port Laya to coreml with 99.5% of the ops on ANE + benchmarked too. it is now blazing fast with 3.7 ms per decision on an M5 Pro. Release: Models:
Project: FluidUse→A step-by-step Jev build guide with code and architecture
everything you need to start building with jev, in one article. code, architecture, diagrams... everything you need to follow the build and make it your own.
Directory
+ Submit yours
laya
DilwoarH
Wraps the Laya Router agent in a Flask API for typed-decision predictions
1·GitHub repo
LayaStudio
biplovgautam
Fine-tunes Laya decision models locally on Mac and evaluates results before deployment
1·GitHub repo
SmartMom
clydechen0228
Uses Laya for edge classification and training within a smart-factory operations platform
1·GitHub repo
laya-unity
0x440-1me
A Unity SDK for local Laya-compatible servers and TypeSafe System One endpoints
1·GitHub repo
laya_dashboard
ghozifadilah
A REST API and web studio serve Laya decisions and manage workflows
1·GitHub repo
laya-cn
yangshun2005
Provides a Chinese translation of Laya documentation for its multilingual typed-decision engine
1·GitHub repo
laya-micro
osamabinIaggin
Prunes and quantizes Laya for low-memory single-board computer deployment
1·GitHub repo
laya-invaders
inhabitants
Uses Laya to choose targets in a Space Invaders game and compares it with a rule baseline
1·GitHub repo
jev-laya-benchmark
EnesDemir143
Benchmarks TypeSafe Jev and Laya-MLX on structured issue classification
1·GitHub repo
laya-learning-demo
Daryl9441
A runnable tutorial teaches Laya decision primitives, routing, fine-tuning, and comparison with Jev
1·GitHub repo
laya-omni-agent
yashrastogi069-dev
An autonomous agent combines local Laya or Jev routing with cloud reasoning and browser, OS, and data tools
1·GitHub repo
tetris_for_laya
fchange
Provides a terminal Tetris environment where a local Laya model chooses each action
1·GitHub repo
laya-mcp-mimo-desktop
miniongk
Bridges Laya typed decisions into MiMo Desktop through a local stdio MCP server
1·GitHub repo
laya-mlx-per-turn-classifier
M37Labs
Demonstrates per-turn customer message classification with Laya on Apple Silicon
1·GitHub repo
decision-infra
hufaei
Routes typed-decision requests to hosted Jev or local Reflex, SemIf, and Laya models
1·GitHub repo
macos-use
ArdaOzd
Controls native macOS apps and Chrome using spoken or typed commands with local Laya or hosted Jev decisions
1·GitHub repo
NLaze
Punch-Pain
A smart terminal uses Laya to correct typos, infer command intent, and learn user patterns
1·GitHub repo
system-one-playground
minkhant1996
Provides a local web playground for Laya and other System One decision models
1·GitHub repo
second-thought
KNambiarDJsc
Measures decision calibration, prioritizes human review, and builds fine-tuning datasets
1·GitHub repo
hd5-antigravity-jev
alpaslan-exe
A workshop teaching developers to build projects with Antigravity and locally run Laya decisions
1·GitHub repo
layaAsRagJudge
vishalmysore
Verifies RAG claims in the browser using Laya decisions and evaluates accuracy against labeled claims
1·GitHub repo
building-with-laya-skill
MIt9
An agent skill teaches developers to build typed-decision programs with Laya and laya-cli
1·GitHub repo
laya-cuda
adamjen
Benchmarks Laya typed-decision checkpoints with a CUDA backend on NVIDIA GPUs
1·GitHub repo
laya-rust
zerodegress
Implements a Rust inference engine for Laya with CUDA, CPU, and MLX backends
1·GitHub repo