Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Local Laya typed decisions on Apple Core ML and Neural Engine. Validated ports, ~5 ms short decisions on M3 Max, reproducible speed and energy benchmarks.
An open-source toolbox that takes a game all the way "from idea → built → live" — Unity/Godot/Cocos/Laya clients + one .NET server. | 开源游戏全流程工具箱：Unity/Godot/Cocos/Laya 客户端 + .NET 服务器，从想法到上线一站搞定。
laya3.x引擎 + nodejs 开发的网络麻将，省去了大量复杂配置，极其适合上手
基于Typescript的渐进式通用游戏前端开发框架
A website, two games, a benchmark and an agent skill for Laya, the open-source decision model. Runs on your machine.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
Generate replayable Excel test cases from live browser pages, or run existing Excel cases, using Playwright and local Laya or a compatible decision API.
System One compatible API for open decision models, written in Rust.
A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline and custom A* traversal for any graph database.
Dohnuts builds small multimodal models for direct decisions. -> System One model
Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compatible.
Run Jev-style typed decisions locally on your Mac with low RAM usage and fast responses
Run open decision models locally: pull and serve Laya, decider, NLI and GLiClass behind a TypeSafe-compatible API. Ollama for decision models.
To associate your repository with the laya topic, visit your repo's landing page and select "manage topics."