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.
378 projects
@mokei/mcp-system-one
paul_lecam
MCP server exposing a System One predict tool, backed by local laya-serve or the hosted API
@mokei/system-one-client
paul_lecam
TypeScript System One client that works with a local laya-serve backend
@johnhenry/aimatey-native-laya
johnhenry
Runs ConvAI's Laya typed-decision model on-device through a TypeScript ONNX Runtime port
cortico-world-simple-trpg-check
dtmosken
A TRPG skill-check tool scores skill success with Laya or Jev and resolves d100 rolls
@ejstembler/pi-classifier-router
ejstembler
Routes Pi and Oh My Pi prompts to models using typed decisions from Jev or Laya
@gabedsam01/decision-maker
gabedsam01
Provides typed decisions for AI agents through a Pi adapter and local Laya or hosted Jev
@plumbus/ai-decision-laya
GitHub Actions
Provides a self-hosted Laya typed-decision adapter and Python reference service for Plumbus
jev-arena
eliot5566
Lets users create text-driven fighting bots piloted by Jev, Laya, or other models
@zatsepin/jigor
zatsepin
Offers a CLI and HTTP gateway for local ONNX Laya and von models and remote Jev decisions
laya-demo
siloh12
Runs a browser demo that calls a Gradio Space to make typed decisions with Laya
Laya
rkvishwa
Provides a local playground for composing queries and calling a self-hosted Laya server
layatest
krish154
Combines Laya, Qwen, and MCP tools in a modular local AI agent
laya-demo
Majczana
Demonstrates Laya decision scoring for emoji selection with choice and yes/no experiments
ask-laya
v3moreno
Routes agent decisions through a local Laya daemon for classification, relevance filtering, and yes/no scoring
pixelkit-laya
PixelKit-Labs
Provides local typed-decision APIs and ONNX inference adapters for TypeScript and React Native
laya-lead-scoring
reislucaz
Scores CRM leads against ideal-customer criteria using calibrated Laya probabilities
laya-browser-use-skill
xnetsc
A portable decision skill bundles a local Laya model with a WebGPU runtime and browser adapter
morning-agent
shauryajain07
A macOS morning briefing CLI uses local Laya-MLX for typed decisions
n8n-nodes-layahost
Negmus
n8n community node for layahost: Laya and Clef decisions, flows and moderation in n8n workflows
local-ai-tetris
jaredjlg2
Runs local Tetris games with Laya and other AI models making inspectable decisions
jev-mcp
nik1tsyganov
MCP stdio servers expose TypeSafe Jev and a separate local Laya decision model
decision-model-eval
relevan-dev
An evaluation compares Laya, Jev, and Claude on search-index configuration decisions
glove-classifier
porkytheblack
Provides typed-decision adapters, cascades, and tools for Glove agents, including Laya and Jev backends
mahabodi
jollypk
Combines topology memory and ONNX Runtime-based Laya decisions in a System-1 engine for AI agents
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