2026년 9월 21일 출시

Android 접근성 서비스와 로컬 OCR로 보이는 대화를 읽고 오버레이에 분석과 답장 제안을 표시합니다. Jev가 의도와 응답 선택을 판단하고 생성 모델이 작성한 후보 세 개의 순위를 매깁니다.

AnyJev는 공개 모델의 확률을 읽어 문장을 생성하지 않고 선택, 참거짓, 점수 질문에 답합니다. 독립적인 Jev 방식 접근이며 L2 예측 헤드는 기반 모델 가중치를 변경하지 않습니다. 라벨 없는 L0 추출을 사용하거나 transformers 또는 vLLM에서 특정 질문용 L2 헤드를 맞춥니다.

Rizzo Flow는 공개 결정 모델을 로컬에서 실행해 Jev 호환 HTTP 인터페이스로 선택, 확률, 기준별 점수, 수치를 반환합니다. Jev의 인터페이스 패턴을 재현한 독립 프로젝트이며 독점 구조나 학습 방식의 복제는 아닙니다. llama.cpp로 선택한 모델을 서빙하고 TypeSafe 호환 앱 코드를 로컬 엔드포인트에 연결합니다.

JevChat-Windows는 로컬 OCR로 WeChat과 KakaoTalk 대화를 읽고 채팅창 옆에 답장 후보를 제공합니다. Jev가 의도와 긴장도를 판단해 세 후보의 순위를 매기며, 별도 언어 모델이 답장을 작성합니다. Windows 10 1903+ 또는 Windows 11에서 판단 제공자 키와 작성 제공자 키를 각각 설정합니다.

떠 있는 채팅 패널이 의도, 위험, 답장 후보를 보여주며 사용자가 복사하거나 입력창에 넣을 수 있습니다. macOS 13 이상의 Apple Silicon Mac을 사용합니다. 화면 캡처로 읽을 때는 화면 기록 권한을, 텍스트 인터페이스로 읽거나 입력할 때는 손쉬운 사용 권한을 주고 설정에서 판단·생성 제공자를 선택합니다.

JevHarness는 언어 모델이 작업별 특징, 질문, 제어 로직을 작성하고 보상과 전체 기록으로 선택적으로 개선하도록 합니다. 웹사이트 스크립트로 보관된 포켓몬 실행을 보거나 스킬을 설치하고 작업을 설명해 하네스를 만듭니다.

후보 점수 헤드가 게이트, 라우팅, 평점용 분포를 반환하며 문장이나 JSON 답변을 디코딩하지 않습니다. README는 벤치마크에 학습된 AgentJev와 제로샷 Jev 1.13.0을 비교하므로 학습 조건이 다릅니다.

Left-pad strings with TypeSafe AI's Jev. For reasons.

An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation.

An unofficial local visualizer for Jev (TypeSafe): a live view of every call your code makes. Not affiliated with TypeSafe AI.

A lightweight, native Swift 6 bridge integrating TypeSafe AI's Jev System One decision model into Apple's Foundation Models framework.

an open-source, from-first-principles reconstruction of the ideas behind TypeSafe AI's Jev, written in pytorch

Typed-judgment admission control at the traffic edge: three-layer prompt-injection and abuse filter for nginx/OpenResty, powered by TypeSafe Jev. Fail-open, cached, hot-reloadable.

5m BTC Up/Down Polymarket trading agent using Typesafe Jev as the decision layer & TUI

A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes every decision from the live game state

亚微秒级 System-1 模型，准确率服从高斯分布

Unofficial PoC: a BERT-style encoder decision engine behind a typed-decision (noul / choice / score) HTTP API. Not affiliated with TypeSafe.

Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.

Laya (open source, local) vs TypeSafe Jev (API): two AI models race in Snake and fight in a Mortal-Kombat-style arena. Every move is a real model decision.

Jev shadcn-block generator

Score every test against a git diff with Jev, and emit the filter arguments vitest, node:test, Playwright, cargo test and go test already understand

微信里的话不知道怎么接？macOS 悬浮聊天助手：识别消息意图与沟通风险，GPT 生成多种话术，Jev 评估候选，一键填入微信。话我帮你想，发送你来定。

Run Jev-style typed decisions locally on your Mac with low RAM usage and fast responses

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 Minesweeper benchmark for LLM agents. One identical board, up to nine models in parallel, one clock, one tool layer.

Semantic "Did you mean?" for any CLI — wraps commands and uses TypeSafe's Jev to match subcommand typos by intent, not edit distance.

Craft Type-Safe Uncertainty-aware semantic pattern matching, control flow, and smart procedures for Effect DecisionModel and Jev

System One judgments (noul/choice/score) from any LLM in one prefill — a Rust, Jev-compatible /v1/systemone engine

Local, open-source Jev alternative: browser agent decisions with Laya (System One model) on your own machine. No cloud, no API key. Playwright/CDP, MCP-friendly.

A Swift package for typed decisions from language models (probabilities, choices, and scores), with support for local MLX models and the TypeSafe Jev API.

ego lite skill — each DOM step decided in ~0.4s, no LLM turn

ProphetLab's Texas Hold'em benchmark and playground for decision models: cash and SNG leaderboards, live replays, and bring-your-own-agent tables.

Hermes Agent plans, Jev (TypeSafe) picks bounded actions, Mineflayer executes: Minecraft with no screenshots or keypresses from a model. Includes the reproduction of rmalde/minecraft-agent's Ender Dragon run.

A local, offline System One server compatible with TypeSafe's Jev API. It answers typed yes/no, category and score questions with small open models.

jev_elixir is a small, idiomatic interface for making typed decisions with Jev. It exposes application-level functions such as Jev.ask?/2 and Jev.analyze/3, while provider adapters handle the external API wire format. The first release supports TypeSafe's System One API and OpenRouter's Decisions API. Both providers support all three System One qu

Route form submissions to the right people with Jev and AI SDK.

📏 Claude Code plugin that makes Claude follow your AGENTS.md: every reply and edit checked by TypeSafe Jev ✅

Zero-dependency System One decision harness: 5 semantic gates saving frontier AI agent tokens on trivial errors & doom loops. Python + TypeScript + Rust. MCP-compatible.

Site search that understands the question. Ranked by TypeSafe's Jev model.

Community-maintained JEV runner integration for Midscene Test

使用 TypeSafe Jev 在 X/Twitter 时间线上识别低质量、垃圾和广告帖子，并在文字区域显示醒目的半透明水印。

Trying to combine Jev with ontology

把对双休的支持，带进每一次购物。逛淘宝、京东时，JEV 实时猜测商品背后的工作制，疑似非双休直接盖上 PASS。原页生效，边逛边选。

Unofficial Go client for the TypeSafe AI System One API (Jev) — typed questions in, calibrated answers out.

Use local and hosted classifiers aka decision models aka Jev-like models, all through a single TypeSafe API

Confidence-gated incident routing with TypeSafe Jev

Claude Code plugin: asks TypeSafe Jev which installed skill fits each prompt and logs the answer (shadow-first). A working reference for the skill-suggestion cookbook on Claude Code — the README records why it is unlikely to help a strong model as a router.

Agent skill and CLI that turn natural language, an LLM prompt, or the code that runs one into a TypeSafe Jev decision: typed state, Choice/Score/Noul questions, and a runnable script

Type-safe Java 21 client for the TypeSafe AI Jev (System One) decision API

Give your AI JEV wings. A skill and plugin to build with TypeSafe Jev, upgrade LLM-only workflows and measure the result.