Use Laya from Node.js
You can run Laya inside a Node.js process with ONNX Runtime, or keep the model in a separate server and call it over HTTP. Both routes use the same state-plus-typed-questions request shape as the Python package and the Jev API.
141 projects
laya-dino
JakkNaj
A fine-tuned Laya model plays Chrome Dino using a Python backend and TypeScript frontend
laya-review
x007007007
Provides local-first code review using Laya decision rules through ONNX Runtime
laya-serve
ouijan
Serves Laya decisions over HTTP with a typed TypeScript client
agentify-laya
hongyaok
Serves local Laya classifications through an OpenAI-shaped HTTP API and usage dashboard
TestLaya
sandeep-m-patil
Tests Laya's decision-making model on problem-solving tasks
laya-quiz
Aryamanironman
Uses Laya to adapt trivia categories and difficulty to each player's performance
laya-todo
firede
Classifies to-do items locally with Laya and compares its predictions with an optional Kev backend
keemsisi-laya-js
keemsisi
Provides JavaScript clients and a Node server adapter for Laya typed decisions
keemsisi-tetris-laya
keemsisi
Lets players control Tetris with decisions from the Laya model
laya-answer-router
ramb5144
A Chrome side panel and MCP bridge use local Laya to route page questions to OpenAI models
laya-or-jev-pong
bananadonn
Compares local Laya and hosted Jev decision APIs by having them control paddles in Pong
jev-frontend-lab
dante01yoon
Six frontend demos compare Jev and local Laya decision pipelines with optional LLM refinement
opencode-system-1-router
jonasneustock
An OpenCode plugin routes tasks to cloud models with Jev or local Laya and routes subagents independently
jev-demo
nadeem4
A demo site compares Jev and Laya playing games and includes benchmarks and agent experiments
dsh-decision-engine
LiuRJ99
A JavaScript decision runtime for DeepSeek Harness with Laya as its first provider
laya-s-dungeon
ValchanOficial
A tactical auto-battler that uses Laya through ONNX Runtime to choose actions each turn
system-one-poc
tonysprite
Integrates Laya-based typed decisions into DeepSeek Harness tool approvals and selection
laya_demo
Cokefish9527
Deploys Laya ONNX weights locally on CPU and serves decisions through an HTTP API
LAYA-RLCD
shyamsridhar123
Teaches RLCD and trains Laya pilots through a tactical game, lessons, and benchmarks
laya-node
roryyu
Provides a Node.js SDK for local Laya typed decisions using Transformers.js and ONNX
layaaimodel.com
anderson188
Provides static community documentation for the Laya System-1 decision model
dsh-laya
RestCode72
Adds Laya typed-decision tools and a service to DeepSeek Harness
laya-chrome
korbinjoe
Uses local Laya to perform constrained browser tasks in Chrome
laya-js
johnhenry
Runs Laya typed decisions in JavaScript across MLX, WebGPU and CPU backends
In-process: @receptron/laya
@receptron/laya runs the model with ONNX Runtime, so neither Python nor PyTorch is needed at runtime. It requires Node.js 20 or newer.
npm install @receptron/laya
import { Laya } from "@receptron/laya";
const laya = await Laya.load();
const result = await laya.systemOne(
{ subject: "Refund not received", body: "I cancelled two weeks ago and still have no refund..." },
{
department: {
type: "choice",
instructions: "Which team should handle this ticket?",
criteria: { billing: "payments, refunds, invoices", support: "product help and bugs", sales: "new purchases" },
},
churn_risk: { type: "noul", instructions: "Is the customer likely to cancel or dispute?" },
},
);
result.answers.department.choice; // "billing"
await laya.close();
Per its README, the fp32 ONNX weights are about 1.7 GB and download on first use. Budget roughly 2 GB of RAM. A three-question call takes about 140 ms on an Apple Silicon CPU once warm, and the output matches the Python implementation to four decimal places. The package is MIT-licensed; the weights are Apache 2.0.
Over HTTP: laya-studio
laya-studio is a zero-dependency TypeScript client for a running Laya server (Node.js 18.17+):
npm install laya-studio
pip install "laya[serve]"
laya-serve # binds 0.0.0.0:8000
Other JavaScript projects
- @r4ai/laya-web: ONNX Runtime Web runtime for browsers and Node.js.
- kevala: a Rust engine compiled to WebAssembly with WebGPU kernels, installable from npm.
- gg-friggin-ez: a profanity and toxicity screener that defaults to Jev and can point at a local Laya endpoint.
Caveats
The English checkpoint's options must fit a 192-token budget and the state is cut at 512 tokens. The receptron README recommends fewer than about 20 options per choice question.
More ways to use Laya