2026年9月21日 のローンチ

Android のアクセシビリティとローカル OCR で表示中の会話を読み、重ね合わせ画面に分析と返信案を表示します。 Jev が意図や返信の選択を判断し、生成モデルが作る三つの候補を順位付けします。

AnyJev はオープンモデルの確率を読み、文章を生成せず選択・真偽・採点の質問に答えます。 独立した Jev 風の手法で、L2 の予測ヘッドは基盤モデルの重みを変更しません。 ラベル不要の L0 を使うか、transformers または vLLM で特定質問用の L2 ヘッドを学習させます。

Rizzo Flow はオープンモデルをローカル実行し、Jev 互換 HTTP API で選択、確率、評価値、数値を返します。 Jev のインターフェース設計を再現した独立プロジェクトで、独自アーキテクチャや学習方法の再現ではありません。 llama.cpp でモデルを起動し、TypeSafe 互換アプリの接続先をローカルに指定します。

JevChat-Windows は WeChat と KakaoTalk の会話をローカル OCR で読み、チャット横に返信候補を表示します。 Jev は意図と緊張度を判断して 3 候補を順位付けし、文章は別の言語モデルが作成します。 Windows 10 1903 以降または Windows 11 で、判断用と文章作成用の API キーを設定します。

フローティングパネルが発言の意図、リスク、返信候補を表示し、候補をコピーしたり入力欄へ挿入したりできます。 macOS 13 以降の Apple Silicon Mac を使用します。画面画像の読み取りには画面収録、テキスト経由の読み取りや挿入にはアクセシビリティの権限を与え、設定で判断用と生成用の接続先を選びます。

JevHarness は言語モデルにタスク固有の特徴、質問、制御を記述させ、報酬と完全な履歴による任意の改善を行えます。 サイト用スクリプトでポケモンの実行記録を閲覧するか、スキルを導入してタスクを伝え、ハーネスを作ります。

候補評価ヘッドがゲート、振り分け、採点用の分布を返し、文章や JSON のデコードを行いません。 README は基準データで学習した AgentJev とゼロショットの Jev 1.13.0 を比較しており、学習条件が異なります。

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.