2026年9月20日 發布的專案

此專案透過 Mineflayer 控制 Minecraft Java 1.16.5 玩家，由獨立模型負責規劃，Jev 負責選擇玩家動作。 設定模型中繼與本機執行環境路徑，安裝相依套件、啟動原版伺服器，再依文件啟動 nether-agent 流程。

此集合提供紀錄分流、證據查核、規準評估及合法動作選擇等技能。 依安裝指南選擇透過 TypeSafe 或 OpenRouter 呼叫實際 Jev，或使用明確標示的代理模擬。

外掛使用 Jev 推薦可用工具、技能及任務負責者，並依明確標準評估成果。 安裝原生 DSH 套件或匯入 iPolloWork 套件，設定 TypeSafe 金鑰，先查狀態再測試實際連線。

EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs

OpenSource Jev

Jev-Mem: System-One Controlled Agentic Memory

Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

Jev-powered semantic code search for coding agents — find behavior across repositories via CLI or MCP, with exact source excerpts and line numbers.

Can a model design a dashboard? A console whose whole design system is generated at runtime by Jev from a one-sentence brief.

TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.

Two-stage JEV control of a Franka Panda in MuJoCo

⚡ 适合中国宝宝的 Jev 入门教程｜手把手带你了解关于 Jev 的一切——Jupyter Notebook 轻松实验，从三种问题原语到 18 篇实战配方、语音智能家居、模型评测与本地微调，全面掌握 System One 判断模型的开发范式

A simple Spring Boot 4 starter for TypeSafe Jev using Spring MVC and RestClient

A Java SDK for the TypeSafe AI JEV API, & Spring AI TypeSafe integrations.

Voice and text control for macOS. One floating bar, live UI action selection with Jev, and a continuous observe–act–verify loop.

An open System One decision model

Rank Pi Agent Skills for the current task with TypeSafe Jev

Self-evolving cognitive decision engine & TypeSafe Jev alternative. Deliberative decision flywheel ('explore first, crystallize later' System 2→1) with 100% option-order invariance. Typed probabilistic API (Choice, Noul, Score) for Open LLMs, Laya (ModernBERT), & commercial Jev with calibrated logprobs and adaptive safety guards.

Jev-powered, rule-based grader for text files. Runs every rule against every line in parallel. No skimming, no missed lines.

Evidence-backed knowledge graph construction with typed Jev relation decisions

J++: an experimental language with standalone source and a Rust runtime. Compose questions and methods. 独立源码，组合问题与方法。

Chrome extension that hides AI-generated posts and comments on X, LinkedIn, and Reddit. Scored by TypeSafe Jev.

Measures what your Jev classifier's confidence is really worth, and sets the human hand-off line from what a mistake costs.

The agent loop where decisions don't cost a large language model call. Zero deps, runs offline, no API key needed.

Open-source, local decision models inspired by TypeSafe’s Jev and System One - built on Qwen3 for NVIDIA DGX Spark.

A Jev-powered resolver for agent harnesses to find deterministic commands and their context in a nested capability tree.

The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow.

Semantic decisions as ordinary Ruby #feels?, #decide, #score, Rails validations and pattern matching powered by Jev

Ask TypeSafe's Jev decision model questions about your data from inside Snowflake. dbt package plus a Terraform module.

Using Apple's Neural Engine as a fast and free local "System One" Decision Engine (macOS 27) - "Honey, we have Jev at home"

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

A linter whose rules are written in plain language.

A minimal Pareto-optimal OpenRouter model router for pi, based on Jev

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Polymarket trading bot driven by Jev (TypeSafe AI) via OpenRouter

Task-boundary model routing for Pi Coding Agent, powered by TypeSafe Jev. Conservative policies, exact caching, and observable failover.

Fast, typed browser automation powered by Jev and Playwright

Open-source model and reasoning effort router for Claude Code and Codex, using Jev or experimental self-hosted Laya.

Fast, typed, calibrated evaluations for LLM and agent outputs, powered by Jev — with simple, framework-agnostic Python APIs

Probabilistic AI decisions as composable backend primitives — typed judgments (noul/score/choice), deterministic thresholds, and explainable workflows. Powered by TypeSafe's Jev, provider-agnostic.

Jevtown: a social network where people write and 10,000 AI personas react

⚡ Catch spec drift on every commit: check your code against your Markdown specs with TypeSafe AI's Jev model.

A Kotlin DSL and client for TypeSafe's Jev model

Independent measurements of typed-decision models: Jev (TypeSafe API) vs Laya (open weights), and a local-first cascade that matches Jev's accuracy at 1.8x the speed

听写纸 · Real-time speech captions with live semantic annotation (key points / emotion / intent) — Confucius4-R2T2 + TypeSafe Jev + DeepSeek

Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.

Autonomous multi-source rental search powered by TypeSafe Jev

Autonomous 24/7 Zero-Inbox triage for Gmail powered by TypeSafe Jev System One

PR Risk review, automated by Jev

Community TypeSafe SDK in Golang