Typed Decisions Python Packages

laya-mlx

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

opendecider

Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.

laya-coreml

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.

edgejev

离线可用的本地类型化决策：4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev

stuntd

Local proxy that learns your app's typed LLM decisions and answers them with a Laya head. Jev and OpenAI compatible.

tacet

Typed decisions from one encoder pass. Open weights, Apache 2.0.

tinyjev

A tiny jev-like model that answers Choice, Score and Noul questions in one forward pass and returns calibrated probabilities. MLX or PyTorch, fully offline, System One compatible.

opendecider-client

Open, calibrated System 1 decision models: typed choice / score / yes-no answers with a probability for every option. 400M to 80B; CPU, NVIDIA, Apple Silicon, LM Studio, Ollama and vLLM.

typesafe-mcp

Typed decision tools for AI agents, powered by TypeSafe Jev

laya-cuda

A lightweight CUDA inference library for Laya

arbitype

Typed decision tools for AI agents, powered by TypeSafe Jev

jev-compatible-server

Open inference runtime for decision models with a Jev-compatible API.

kayak

Classify, route, and rank text in Python with self-hosted models. Typed decisions and evaluation.

second-thought

Learning infrastructure for typed probabilistic decisions from System One models (Laya, and typed-decision providers you bring yourself).

semantic-python

Python, but == can understand meaning—explicitly, inspectably, and safely.

decima-ai

Open, CPU-sized Jev-style (System One) decision model: situation + question + options → calibrated probabilities. 122M, ~20 ms on one CPU core, runs in your browser.