Laya Warehouse Safety: a robot that knows when to wait
In a replayable grid with moving workers and forklifts, Laya chooses advance, shift or wait and flags collision risk, under a deterministic safety shield.
BUILDS
113 builds made with System One models.
Agents, routers, scorers and games — built on models that decide. Every entry links to the models it uses, so you can pull the same one and start from there.
63 builds · page 3 of 3
laya-web: the whole model in a browser tab
524 MB of 8-bit English weights cached in the tab and run with onnxruntime-web, live at laya-web.pages.dev.
@r4ai/laya-web: client-side Laya with WebGPU
A browser runtime on ONNX Runtime Web that uses WebGPU with a SIMD Wasm fallback and works inside Web Workers.
LayaKit: one Core ML decision per call from Swift
A Swift package derived from laya-coreml that loads the general or Neural Engine bundles and predicts in a single call.
system-one: typed decisions in TypeScript, as Promises or Effects
One set of question definitions drives a zero-dependency Promise client and an Effect service across Jev, Cloudflare AI Gateway and Laya.
zero-shot-ie-bench: seven extraction and classification families side by side
GLiNER, GLiClass, Laya, Von, Jev and more in one web UI, with demos, benchmarks, model sizes and licences.
Does Laya's advertised zero-shot win over Jev reproduce?
A frozen protocol on four datasets with raw predictions, calibration and latency: Laya ties Jev on one and trails by 10–33 points on the others.
Chakravyuha: a browser ring maze solved one Laya decision at a time
A Mahabharata-inspired ring formation walked step by step to its centre, with every move chosen by a local Laya model instead of the hosted Jev API.
chunklaya: where Laya stops reading, and a chunking fix
Shows across 400 documents that the decision head's attention falls off after roughly 200 tokens, then provides a chunking harness that restores accuracy on long inputs.
Hermes skill_router: pick the right skill before the agent runs
A Hermes plugin that classifies each task against an index of about 300 skills with a local Laya model and injects the best match as context for the turn.
jeffrey: a coding-agent CLI where a decision model steers
At every step Jev or Laya picks the next tool, scores progress and estimates risk; the language model only executes and never decides.
Laya-CoreML: ~5 ms decisions on the Neural Engine
Validated Core ML ports of every Laya checkpoint: 4.98 ms median on an M3 Max and 2.78× better energy use than MLX.
laya-mlx: Laya on Apple Silicon at 60 decisions a second
An MLX port tuned to run in under 1 GB of memory; its demo plays Snake at 60 decisions per second on an M3 Max.
@receptron/laya: Laya from Node.js and TypeScript
An npm package that runs the model with ONNX Runtime, without Python or PyTorch, using the same request shape as a hosted System One API.
Laya: the open-source decision engine
The model itself: typed choice and score questions answered in a single forward pass, Apache 2.0, about 33 ms per question on a T4.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.