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.
BUILDS
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.
30 builds · page 2 of 2
One set of question definitions drives a zero-dependency Promise client and an Effect service across Jev, Cloudflare AI Gateway and Laya.
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.
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.
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.
An ONNX export that runs wherever onnxruntime does, from browsers to edge boxes, later joined by an fp16 variant.
Laya's author on building decision models, training against proper scoring rules, and why the model is open.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.