a coding agent, rpc plugin, sub-agents, hashline edits, and mcp
System One compatible API for open decision models, written in Rust.
Software, by reflex. Say it, and the right small program runs: chosen by a calibrated classifier, run only when it is sure enough, and it asks before anything that cannot be undone. A CLI, a package manager and a TypeScript SDK: the first implementation of the idea.
A Swift client for TypeSafe AI's Jev — typed judgements, not text
200+ plug-and-play Jev recipes: small, calibrated AI decisions that route, grade, gate, compare, and label text for agents, RAG, support, code review, and music. Import from JavaScript or TypeScript, or call the CLI with JSON from any language.
Evidence-first long-term experiment memory skill for AI coding agents, with optional Jev decision-model layers
A Kotlin DSL and client for TypeSafe's Jev model
Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app.
when a gopher met Jev
An unofficial CPP 20 SDK for the TypeSafe API
基于 Jev 的 A 股 T+1 决策台：盘前预选 + 交易时段全程决策 + 本地概率模型 + 严格成本回测 + QMT 桥接（默认不下单）。1 万本金影子盘记录中；策略未证实正期望（README 有全部数据）。
Windows port of Laya typed-decision AI (ONNX Runtime + DirectML) — Core ML/Apple Neural Engine alternative with first-class Arabic support. No text generation, no hallucination, runs on any DX12 GPU.
decision-first data cleaning system powered by Jev
To associate your repository with the jev-api topic, visit your repo's landing page and select "manage topics."