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 1048 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
- 1048
- New this week
- 1048
- 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 profile tells the story of Laya creator Nandakishor M
He comes from a small village in Kasaragod, Kerala. In 2016, he was selected for IISER Mohali but couldn't afford to make the move. He eventually studied engineering at Government College of Engineering, Kannur. Last week he released Laya, an open-source AI model that challenged TypeSafe’s Jev on speed and on published decision-making scores. This is the story of Nandakishor M and how he built Laya.
Directory
+ Submit yours
reflex-engine
chenshuai9101
A Python toolkit collects, calibrates, and automates routine decisions using local Laya
0·GitHub repo
Xpark-Media-Foundry-Agent
ArcSeekerX
A media-production pipeline uses Laya, OpenJev, or Jev to allocate attention across video generation
0·GitHub repo
D
dsh-browser-laya
drscrewdriver
A reserved npm package name for a planned browser-action backend using a local Laya sidecar
0·npm package
J
@johnhenry/aimatey-native-laya
johnhenry
Runs ConvAI's Laya typed-decision model on-device through a TypeScript ONNX Runtime port
0·npm package
D
cortico-world-simple-trpg-check
dtmosken
A TRPG skill-check tool scores skill success with Laya or Jev and resolves d100 rolls
0·npm package
E
@ejstembler/pi-classifier-router
ejstembler
Routes Pi and Oh My Pi prompts to models using typed decisions from Jev or Laya
0·npm package
G
@gabedsam01/decision-maker
gabedsam01
Provides typed decisions for AI agents through a Pi adapter and local Laya or hosted Jev
0·npm package
G
@plumbus/ai-decision-laya
GitHub Actions
Provides a self-hosted Laya typed-decision adapter and Python reference service for Plumbus
0·npm package
E
jev-arena
eliot5566
Lets users create text-driven fighting bots piloted by Jev, Laya, or other models
0·npm package
Z
@zatsepin/jigor
zatsepin
Offers a CLI and HTTP gateway for local ONNX Laya and von models and remote Jev decisions
0·npm package
B
laya-calibration-lab
BunsDev
Fits and evaluates probability calibration for Laya typed-decision models
0·HF Space
M
laya-web-demo
mizchi
Runs Laya typed decisions in browser games using ONNX Runtime Web and WebGPU
0·HF Space
A
laya-burmese-sib200-demo
aungthuhein-dev
Classifies Burmese text into seven topics using a fine-tuned Laya checkpoint
0·HF Space
K
laya-decision-lab
KGFCode
Demonstrates Laya text classification, scoring, and probability analysis with an API and MCP service
0·HF Space
2
laya-demo-0921
2045max
Demonstrates Laya decisions for routing, triage, moderation, RAG filtering, and other tasks
0·HF Space
N
laya-demo
nile1801
Demonstrates typed decisions, calibrated probabilities, and multilingual routing with Laya checkpoints
0·HF Space
M
laya-triage
Mezahir2025
Provides a Laya-based message triage API for Make.com
0·HF Space
N
laya-school-email-triage
nccyber
Demonstrates Laya for routing and assessing urgency in synthetic school emails
0·HF Space
A
laya_api
Anuragggggggg
Serves Laya typed-decision endpoints for generic decisions and candidate routing
0·HF Space
S
laya-demo
siloh12
Runs a browser demo that calls a Gradio Space to make typed decisions with Laya
0·HF Space
H
laya
henrybit
Demonstrates Laya typed decisions with English and multilingual checkpoints
0·HF Space
W
laya-demo
wuyouxiaobai
Provides a landing page and deployable Gradio demo for Laya typed decisions
0·HF Space
H
laya-decision-playground
hadeas
Provides a Gradio playground for Laya typed decisions with editable schemas and probability outputs
0·HF Space
A
laya-demo
aired
Demonstrates Laya typed decisions for triage, guardrails, filtering, moderation, and routing
0·HF Space