{
  "meta": {
    "name": "Awesome Jev",
    "description": "Everything built on Jev — TypeSafe AI's System One model, the first model that answers with typed judgments and calibrated probabilities instead of prose. Generated from one data file in three languages, maintained by deterministic scripts and a free-AI reviewer.",
    "canonical": "https://github.com/hdjekuue/awesome-jev",
    "site": "https://hdjekuue.github.io/awesome-jev/",
    "license": "CC0-1.0",
    "languages": [
      "en",
      "zh",
      "fr"
    ],
    "descriptions": {
      "en": "Everything built on Jev — TypeSafe AI's System One model, the first model that answers with typed judgments and calibrated probabilities instead of prose. Generated from one data file in three languages, maintained by deterministic scripts and a free-AI reviewer.",
      "zh": "关于 Jev（TypeSafe AI 的 System One 模型）构建的一切——第一个直接返回类型化判断与校准概率、而不是自然语言的模型。由同一个数据文件生成三种语言，由确定性脚本与一个免费 AI 评审员持续维护。",
      "fr": "Tout ce qui est construit sur Jev — le modèle System One de TypeSafe AI, le premier modèle qui répond par des jugements typés et des probabilités calibrées plutôt que par du texte. Généré depuis un seul fichier de données en trois langues, tenu par des scripts déterministes et un relecteur IA gratuit."
    },
    "updatedAt": "2026-10-01",
    "counts": {
      "entries": 352,
      "repos": 335,
      "resources": 17,
      "stars": 93460,
      "languages": 21,
      "categories": 20,
      "official": 21,
      "updated": "2026-10-01"
    },
    "categories": {
      "start-here": {
        "stamp": "001",
        "title": {
          "en": "Start Here",
          "zh": "入门与心智模型",
          "fr": "Pour commencer"
        },
        "slug": "start-here",
        "blurb": "The spec sheet, the three primitives and the docs — read these before building.",
        "count": 16
      },
      "official": {
        "stamp": "011",
        "title": {
          "en": "Official SDKs & Framework Support",
          "zh": "官方 SDK 与框架支持",
          "fr": "SDK officiels et support framework"
        },
        "slug": "official",
        "blurb": "Maintained by TypeSafe AI, plus the frameworks that ship Jev natively.",
        "count": 7
      },
      "coding-agents": {
        "stamp": "104",
        "title": {
          "en": "Coding Agents",
          "zh": "编码智能体",
          "fr": "Agents de code"
        },
        "slug": "coding-agents",
        "blurb": "Routers, tool gates, reviewers, skills and MCP servers for agent harnesses.",
        "count": 48
      },
      "routing": {
        "stamp": "118",
        "title": {
          "en": "Routing & Gateways",
          "zh": "路由与网关",
          "fr": "Routage et passerelles"
        },
        "slug": "routing",
        "blurb": "Per-turn model and tool selection, under a hard deadline.",
        "count": 10
      },
      "context": {
        "stamp": "131",
        "title": {
          "en": "Context & Compaction",
          "zh": "上下文与压缩",
          "fr": "Contexte et compaction"
        },
        "slug": "context",
        "blurb": "Decide what stays in the window before the model ever reads it.",
        "count": 6
      },
      "code-review": {
        "stamp": "147",
        "title": {
          "en": "Code Review & Quality",
          "zh": "代码评审与质量",
          "fr": "Relecture de code et qualité"
        },
        "slug": "code-review",
        "blurb": "Judges, linters, coverage gates and review dashboards.",
        "count": 21
      },
      "browser": {
        "stamp": "152",
        "title": {
          "en": "Browser & Computer Use",
          "zh": "浏览器与计算机操作",
          "fr": "Navigation et contrôle d'ordinateur"
        },
        "slug": "browser",
        "blurb": "Jev picks the operation and the DOM element; a small LLM only writes the text.",
        "count": 14
      },
      "mobile": {
        "stamp": "158",
        "title": {
          "en": "Mobile & Desktop Automation",
          "zh": "移动端与桌面自动化",
          "fr": "Automatisation mobile et bureau"
        },
        "slug": "mobile",
        "blurb": "Driving phones, IM clients and native UIs without hooking or patching.",
        "count": 4
      },
      "search-rag": {
        "stamp": "163",
        "title": {
          "en": "Search, Reranking & RAG",
          "zh": "搜索、重排与 RAG",
          "fr": "Recherche, reranking et RAG"
        },
        "slug": "search-rag",
        "blurb": "Query understanding, source selection, reranking and semantic SQL.",
        "count": 13
      },
      "safety": {
        "stamp": "179",
        "title": {
          "en": "Safety, Moderation & Verification",
          "zh": "安全、审核与校验",
          "fr": "Sûreté, modération et vérification"
        },
        "slug": "safety",
        "blurb": "Guardrails, prompt-injection checks, judges that abstain.",
        "count": 14
      },
      "data-ops": {
        "stamp": "185",
        "title": {
          "en": "Data & Ops",
          "zh": "数据与运维",
          "fr": "Données et exploitation"
        },
        "slug": "data-ops",
        "blurb": "Postgres extensions, semantic SQL and telemetry pipelines that call Jev.",
        "count": 20
      },
      "apps": {
        "stamp": "191",
        "title": {
          "en": "Applications & Extensions",
          "zh": "应用与扩展",
          "fr": "Applications et extensions"
        },
        "slug": "apps",
        "blurb": "End-user tools people actually open every day.",
        "count": 29
      },
      "clients": {
        "stamp": "205",
        "title": {
          "en": "SDKs & Community Clients",
          "zh": "SDK 与社区客户端",
          "fr": "SDK et clients communautaires"
        },
        "slug": "clients",
        "blurb": "Unofficial clients for the languages without a first-party SDK.",
        "count": 32
      },
      "cli": {
        "stamp": "217",
        "title": {
          "en": "Command Line",
          "zh": "命令行",
          "fr": "Ligne de commande"
        },
        "slug": "cli",
        "blurb": "Call Jev from a shell, no SDK required.",
        "count": 14
      },
      "benchmarks": {
        "stamp": "223",
        "title": {
          "en": "Benchmarks, Evals & Calibration",
          "zh": "基准、评测与校准",
          "fr": "Benchmarks, évaluations et calibration"
        },
        "slug": "benchmarks",
        "blurb": "Measure it before you trust it.",
        "count": 27
      },
      "open-models": {
        "stamp": "229",
        "title": {
          "en": "Open Models & Replicas",
          "zh": "开源模型与复刻",
          "fr": "Modèles ouverts et répliques"
        },
        "slug": "open-models",
        "blurb": "Run System One semantics without the vendor — on a 3090 if you like.",
        "count": 41
      },
      "games": {
        "stamp": "236",
        "title": {
          "en": "Games, Robotics & Simulation",
          "zh": "游戏、机器人与仿真",
          "fr": "Jeux, robotique et simulation"
        },
        "slug": "games",
        "blurb": "Decisions as game mechanics.",
        "count": 19
      },
      "finance": {
        "stamp": "242",
        "title": {
          "en": "Finance & Trading",
          "zh": "金融与交易",
          "fr": "Finance et trading"
        },
        "slug": "finance",
        "blurb": "Scoring financial signals with calibrated probabilities.",
        "count": 5
      },
      "demos": {
        "stamp": "248",
        "title": {
          "en": "Playgrounds & Demos",
          "zh": "试验场与演示",
          "fr": "Terrains de jeu et démos"
        },
        "slug": "demos",
        "blurb": "Try it in thirty seconds.",
        "count": 12
      }
    },
    "endpoints": {
      "source": "https://github.com/hdjekuue/awesome-jev/blob/main/data/entries.json",
      "llms": "https://hdjekuue.github.io/awesome-jev/llms.txt",
      "llmsFull": "https://hdjekuue.github.io/awesome-jev/llms-full.txt",
      "skill": "https://hdjekuue.github.io/awesome-jev/skill.md",
      "section": "https://hdjekuue.github.io/awesome-jev/c/<slug>.md",
      "api": "POST https://api.typesafe.ai/v1/systemone"
    },
    "primitives": [
      {
        "name": "choice",
        "question": "Pick one option from a list",
        "returns": "choice · probabilities · confidence"
      },
      {
        "name": "score",
        "question": "Rate the state against a rubric",
        "returns": "score · probabilities · confidence"
      },
      {
        "name": "noul",
        "question": "Is this statement true?",
        "returns": "noul (0–1)"
      }
    ]
  },
  "entries": [
    {
      "id": "browser-use--jev-ultrafast",
      "name": "browser-use/jev-ultrafast",
      "url": "https://github.com/browser-use/jev-ultrafast",
      "kind": "repo",
      "category": "browser",
      "rule": "152",
      "description": "One request picks both the operation and the target element from an indexed DOM table; a small LLM only writes typed text. Zürich to London booked in 7.1 seconds.",
      "descriptionZh": "单次请求从索引化 DOM 表中同时选定操作和目标元素，小型 LLM 仅填写类型化文本，苏黎世至伦敦的预订在 7.1 秒内完成。",
      "descriptionFr": "Une seule requête sélectionne à la fois l'opération et l'élément cible depuis une table DOM indexée ; un petit LLM écrit uniquement du texte typé. Trajet de Zürich à Londres réservé en 7,1 secondes.",
      "language": "Python",
      "license": "MIT",
      "stars": 21495,
      "forks": 1497,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-30",
      "intents": [
        "drive a browser or GUI with an agent",
        "benchmark or calibrate Jev",
        "learn how Jev works"
      ]
    },
    {
      "id": "jaredpalmer--kev",
      "name": "jaredpalmer/kev",
      "url": "https://github.com/jaredpalmer/kev",
      "kind": "repo",
      "category": "open-models",
      "rule": "229",
      "description": "LoRA adapter and readout head on Qwen2.5-0.5B that answers many typed questions in one prefill; trains in under two hours on a MacBook, held-out ECE 0.065, speaks the TypeSafe wire format.",
      "descriptionZh": "基于 Qwen2.5-0.5B 的 LoRA 适配器与读出头，可在单次 prefill 中回答多个类型化问题，在 MacBook 上不到两小时即可完成训练，留出集 ECE 为 0.065，支持 TypeSafe 线路格式。",
      "descriptionFr": "Adaptateur LoRA et tête de lecture sur Qwen2.5-0.5B qui répond à de nombreuses questions typées en un seul prefill ; entraînement en moins de deux heures sur un MacBook, ECE hors échantillon de 0,065, utilise le format wire TypeSafe.",
      "language": "Python",
      "license": "Apache-2.0",
      "stars": 7998,
      "forks": 506,
      "topics": [
        "decision-model",
        "jev",
        "qwen3"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-30",
      "intents": [
        "run Jev on open models without the vendor",
        "call Jev from a language SDK",
        "benchmark or calibrate Jev"
      ]
    },
    {
      "id": "tamaratran--fast-jev-compaction",
      "name": "tamaratran/fast-jev-compaction",
      "url": "https://github.com/tamaratran/fast-jev-compaction",
      "kind": "repo",
      "category": "context",
      "rule": "131",
      "description": "Replaces the compaction summary with Jev decisions: every tool call and result scored in one request, stale ones dropped, everything kept stays verbatim.",
      "descriptionZh": "以 Jev 决策替代压缩摘要：所有工具调用与结果在单次请求中打分，过期内容被丢弃，保留内容保持原文不变。",
      "descriptionFr": "Remplace le résumé de compaction par des décisions Jev : chaque appel d'outil et résultat est noté en une seule requête, les éléments obsolètes sont supprimés, tout ce qui est conservé reste verbatim.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 7225,
      "forks": 463,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-18",
      "intents": [
        "compact or prune agent context",
        "judge or verify an agent's output",
        "benchmark or calibrate Jev"
      ]
    },
    {
      "id": "vercel--eve",
      "name": "vercel/eve",
      "url": "https://github.com/vercel/eve",
      "kind": "repo",
      "category": "official",
      "rule": "011",
      "description": "Vercel's agent framework; Jev is the typed judge in its evaluate step.",
      "descriptionZh": "Vercel 的智能体框架，Jev 在其 evaluate 步骤中担任类型化评判器。",
      "descriptionFr": "Framework d'agents de Vercel ; Jev est le juge typé dans son étape evaluate.",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "stars": 5418,
      "forks": 592,
      "topics": [
        "agent",
        "framework",
        "harness",
        "javascript",
        "markdown",
        "typescript"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-30",
      "intents": [
        "judge or verify an agent's output",
        "benchmark or calibrate Jev",
        "review code or pull requests"
      ]
    },
    {
      "id": "theoleecj--semif",
      "name": "TheoLeeCJ/SemIf",
      "url": "https://github.com/TheoLeeCJ/SemIf",
      "kind": "repo",
      "category": "open-models",
      "rule": "229",
      "description": "Semantic ifs from open models on a single 3090; the most starred independent replica, formerly openjev.",
      "descriptionZh": "在单张 3090 上用开放模型实现语义 if，星标最多的独立复刻版本，曾名为 openjev。",
      "descriptionFr": "Ifs sémantiques issus de modèles ouverts sur une seule 3090 ; la réplique indépendante la plus étoilée, anciennement openjev.",
      "language": "Python",
      "license": "MIT",
      "stars": 4604,
      "forks": 321,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-23",
      "intents": [
        "run Jev on open models without the vendor",
        "compare Jev with an LLM",
        "gate or approve tool calls before they run"
      ]
    },
    {
      "id": "jarrodwatts--jev-trader",
      "name": "jarrodwatts/jev-trader",
      "url": "https://github.com/jarrodwatts/jev-trader",
      "kind": "repo",
      "category": "finance",
      "rule": "242",
      "description": "One trade decision every Monad block, on Kuru MON-USDC, about 300 ms each.",
      "descriptionZh": "每个 Monad 区块做出一次交易决策，在 Kuru MON-USDC 上执行，每次约 300 ms。",
      "descriptionFr": "Une décision de trading à chaque bloc Monad, sur Kuru MON-USDC, environ 300 ms chacune.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 2695,
      "forks": 506,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-17",
      "intents": [
        "trade or score financial signals",
        "review code or pull requests",
        "benchmark or calibrate Jev"
      ]
    },
    {
      "id": "typesafe-ai--skills",
      "name": "typesafe-ai/skills",
      "url": "https://github.com/typesafe-ai/skills",
      "kind": "repo",
      "category": "official",
      "rule": "011",
      "description": "Agent skills for designing questions, building workflows, and evaluating them.",
      "descriptionZh": "用于设计问题、构建工作流并对其进行评估的智能体技能。",
      "descriptionFr": "Skills d’agent pour concevoir des questions, construire des workflows et les évaluer.",
      "language": null,
      "license": "MIT",
      "stars": 2469,
      "forks": 145,
      "topics": [],
      "official": true,
      "archived": false,
      "pushedAt": "2026-09-12",
      "intents": [
        "classify support tickets or messages",
        "judge or verify an agent's output",
        "pick which skill or prompt to load"
      ]
    },
    {
      "id": "tianyucodings--nanojev",
      "name": "TianyuCodings/NanoJev",
      "url": "https://github.com/TianyuCodings/NanoJev",
      "kind": "repo",
      "category": "open-models",
      "rule": "229",
      "description": "0.6B replica with parallel decisions, dynamic candidates, and an end-to-end training pipeline.",
      "descriptionZh": "支持并行决策、动态候选和端到端训练流水线的 0.6B 复刻版本。",
      "descriptionFr": "Réplique 0.6B avec décisions parallèles, candidats dynamiques et pipeline d’entraînement de bout en bout.",
      "language": "Python",
      "license": "MIT",
      "stars": 2445,
      "forks": 250,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-21",
      "intents": [
        "build a game or simulation on Jev",
        "run Jev on open models without the vendor",
        "benchmark or calibrate Jev"
      ]
    },
    {
      "id": "dzhng--jevgrep",
      "name": "dzhng/jevgrep",
      "url": "https://github.com/dzhng/jevgrep",
      "kind": "repo",
      "category": "cli",
      "rule": "217",
      "description": "Finds the files, declarations, and verbatim excerpts a coding agent needs by asking Jev which declarations answer a plain-language question about the repo.",
      "descriptionZh": "通过询问 Jev 哪些声明能回答关于该仓库的自然语言问题，为编码智能体找到所需的文件、声明和原文摘录。",
      "descriptionFr": "Trouve les fichiers, déclarations et extraits verbatim dont un agent de codage a besoin en demandant à Jev quelles déclarations répondent à une question en langage simple sur le repo.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 1853,
      "forks": 123,
      "topics": [
        "ai-sdk",
        "claude-code",
        "cli",
        "code-search",
        "codex",
        "coding-agents"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-29",
      "intents": [
        "call Jev from the command line",
        "route requests through a gateway or proxy",
        "judge or verify an agent's output"
      ]
    },
    {
      "id": "nicobailon--pi-mcp-adapter",
      "name": "nicobailon/pi-mcp-adapter",
      "url": "https://github.com/nicobailon/pi-mcp-adapter",
      "kind": "repo",
      "category": "coding-agents",
      "rule": "104",
      "description": "Opt-in typed evaluation and semantic search over MCP tool results, behind a per-server data-egress allowlist.",
      "descriptionZh": "针对 MCP 工具结果提供可选的类型化评估与语义搜索，并受按服务器配置的数据外发白名单保护。",
      "descriptionFr": "Évaluation typée et recherche sémantique opt-in sur les résultats d’outils MCP, derrière une liste d’autorisation de sortie de données par serveur.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 1568,
      "forks": 382,
      "topics": [
        "ai",
        "claude",
        "coding-agent",
        "extension",
        "llm",
        "mcp"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-30",
      "intents": [
        "compact or prune agent context",
        "judge or verify an agent's output",
        "route requests through a gateway or proxy"
      ]
    },
    {
      "id": "vinnylarouge--jevlike",
      "name": "vinnylarouge/jevlike",
      "url": "https://github.com/vinnylarouge/jevlike",
      "kind": "repo",
      "category": "open-models",
      "rule": "229",
      "description": "Open option scorer that reads candidate logits instead of generating JSON.",
      "descriptionZh": "读取候选 logits 而非生成 JSON 的开放选项评分器。",
      "descriptionFr": "Scorer d'options ouvert qui lit les logits des candidats au lieu de générer du JSON.",
      "language": "Python",
      "license": "MIT",
      "stars": 1335,
      "forks": 118,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-16",
      "intents": [
        "score or rank candidates in a pipeline",
        "run Jev on open models without the vendor",
        "judge or verify an agent's output"
      ]
    },
    {
      "id": "awlevin--typesafe-computer-use",
      "name": "awlevin/typesafe-computer-use",
      "url": "https://github.com/awlevin/typesafe-computer-use",
      "kind": "repo",
      "category": "browser",
      "rule": "152",
      "description": "OCR the screen, classify the next action, click; about $0.0002 a step on macOS.",
      "descriptionZh": "对屏幕执行 OCR，分类下一步操作并点击，在 macOS 上每步约 $0.0002。",
      "descriptionFr": "Fait de l'OCR sur l'écran, classifie l'action suivante, clique ; environ $0.0002 par étape sur macOS.",
      "language": "Python",
      "license": "MIT",
      "stars": 1097,
      "forks": 104,
      "topics": [
        "ai-agents",
        "automation",
        "computer-use",
        "macos",
        "ocr",
        "typesafe"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-29",
      "intents": [
        "drive a browser or GUI with an agent",
        "learn how Jev works",
        "benchmark or calibrate Jev"
      ]
    },
    {
      "id": "ollaya-dev--ollaya",
      "name": "ollaya-dev/ollaya",
      "url": "https://github.com/ollaya-dev/ollaya",
      "kind": "repo",
      "category": "open-models",
      "rule": "229",
      "description": "Pulls and serves open decision models such as Laya, kev, and JevK5 behind a TypeSafe-compatible local endpoint, the way Ollama serves LLMs.",
      "descriptionZh": "以 Ollama 提供 LLMs 服务的方式，在 TypeSafe 兼容的本地端点后拉取并提供 Laya、kev 和 JevK5 等开放决策模型。",
      "descriptionFr": "Télécharge et sert des modèles de décision ouverts tels que Laya, kev et JevK5 derrière un endpoint local compatible TypeSafe, comme Ollama sert les LLM.",
      "language": "Rust",
      "license": "Apache-2.0",
      "stars": 1011,
      "forks": 51,
      "topics": [
        "classification",
        "decision-models",
        "jev",
        "laya",
        "llm-routing",
        "local-inference"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-29",
      "intents": [
        "run Jev on open models without the vendor",
        "classify support tickets or messages",
        "benchmark or calibrate Jev"
      ]
    },
    {
      "id": "mapika--decider",
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        "compact or prune agent context",
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      "descriptionZh": "在终端中使用的 Vercel AI SDK，其 evaluate 路径运行于 Jev 之上。",
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      "descriptionZh": "非自回归开放决策模型，本地延迟低于 15 ms，可作为 Jev 的直接替代品。",
      "descriptionFr": "Modèle de décision ouvert non autorégressif annoncé à moins de 15 ms en local, comme alternative directe à Jev.",
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      "license": "Apache-2.0",
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        "run Jev on open models without the vendor",
        "score or rank candidates in a pipeline",
        "call Jev from a language SDK"
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        "run Jev on open models without the vendor",
        "score or rank candidates in a pipeline",
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      "descriptionFr": "Transforme une zone de texte en carte correspondante pendant la frappe, jugée par un seul appel Jev parallèle, avec un repli par mot-clé quand aucune clé n'est définie.",
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        "extract structured fields from text",
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      "descriptionFr": "Skill et plugin Codex où Jev gère la navigation, les clics et le défilement tandis que Codex conserve la saisie et la vérification ; annonce des étapes de navigateur 5 à 10 fois plus rapides.",
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        "drive a browser or GUI with an agent",
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      "descriptionFr": "Supervise une usine logicielle d'agents, Jev prenant les décisions de validation et de rejet.",
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      "descriptionFr": "Utilisation d'ordinateur Codex où Jev choisit l'élément, l'action, l'achèvement et le risque à partir du texte à l'écran, sans envoi de captures d'écran ; readme en chinois.",
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        "gate or approve tool calls before they run",
        "drive a browser or GUI with an agent",
        "learn how Jev works"
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      "descriptionZh": "在原版服务器上击杀末影龙，由 frontier 模型规划并由 Jev 选择每个玩家动作；记录的一次运行共用了 131 次 Jev 决策和 35 次规划器调用。",
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      "descriptionZh": "将每个任务路由到能处理它的最便宜的 Claude 模型。",
      "descriptionFr": "Achemine chaque tâche vers le modèle Claude le moins cher capable de la traiter.",
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      "description": "Source selection, query understanding, and relevance ranking for web search.",
      "descriptionZh": "用于网络搜索的来源选择、查询理解和相关性排序。",
      "descriptionFr": "Sélection des sources, compréhension des requêtes et classement de pertinence pour la recherche web.",
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        "rerank search results",
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      "description": "The first MCP server for Jev, and still the most linked.",
      "descriptionZh": "首个面向 Jev 的 MCP 服务器，至今仍是被链接最多的。",
      "descriptionFr": "Premier serveur MCP pour Jev, et toujours le plus lié.",
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      "descriptionZh": "在真机 Android 手机上运行相同循环；演示中 21 秒内完成九个 Uber 操作。",
      "descriptionFr": "La même boucle sur un vrai téléphone Android ; neuf actions Uber en 21 secondes dans la démo.",
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      "description": "Plays Super Mario Bros. from structured emulator state; Jev picks the NES controller input directly.",
      "descriptionZh": "基于结构化模拟器状态游玩 Super Mario Bros.；由 Jev 直接选择 NES 手柄输入。",
      "descriptionFr": "Joue à Super Mario Bros. à partir de l'état structuré de l'émulateur ; Jev choisit directement l'entrée de la manette NES.",
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        "benchmark or calibrate Jev",
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      "descriptionZh": "让 LLM 编写任务专用的 harness，将观测转化为 Jev 问题，然后将其冻结，并根据奖励和完整执行轨迹进行改进。",
      "descriptionFr": "Fait écrire par un LLM un harness spécifique à la tâche qui transforme les observations en questions Jev, puis le fige et l'améliore à partir des récompenses et des traces d'exécution complètes.",
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      "stars": 400,
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        "judge or verify an agent's output",
        "benchmark or calibrate Jev",
        "compare Jev with an LLM"
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      "id": "dabit3--jev-experiments",
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      "rule": "248",
      "description": "Nader Dabit's grab bag of small Jev experiments.",
      "descriptionZh": "Nader Dabit 的小型 Jev 实验合集。",
      "descriptionFr": "Assortiment de petites expériences Jev de Nader Dabit.",
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      "stars": 397,
      "forks": 31,
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        "benchmark or calibrate Jev",
        "learn how Jev works",
        "review code or pull requests"
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      "id": "realzachi--pg-jev",
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      "rule": "185",
      "description": "PostgreSQL extension that answers plain-language questions about your tables.",
      "descriptionZh": "回答关于数据表的自然语言问题的 PostgreSQL 扩展。",
      "descriptionFr": "Extension PostgreSQL qui répond aux questions en langage courant sur vos tables.",
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      "intents": [
        "run Jev inside a database or SQL",
        "score or rank candidates in a pipeline",
        "classify support tickets or messages"
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      "id": "yinsongxu--llm2jev",
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      "descriptionZh": "使本地语言模型适配运行时定义的 Choice、Score 和 Noul 问题，并返回带概率的类型化答案。",
      "descriptionFr": "Adapte les modèles de langage locaux aux questions Choice, Score et Noul définies à l'exécution et renvoie des réponses typées avec probabilités.",
      "language": "Python",
      "license": "Apache-2.0",
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      "forks": 38,
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        "jev",
        "llm",
        "mllm"
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      "official": false,
      "archived": false,
      "pushedAt": "2026-09-26",
      "intents": [
        "run Jev on open models without the vendor",
        "compare Jev with an LLM",
        "score or rank candidates in a pipeline"
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      "id": "moritzkremb--jev-voice-browser",
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      "kind": "repo",
      "category": "browser",
      "rule": "152",
      "description": "Intent and target decided per spoken word in about 300 ms, often before the sentence ends.",
      "descriptionZh": "约 300 ms 内逐词判定意图和目标，通常在句子结束前完成。",
      "descriptionFr": "Intention et cible décidées à chaque mot prononcé en environ 300 ms, souvent avant la fin de la phrase.",
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      "official": false,
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      "intents": [
        "drive a browser or GUI with an agent",
        "voice or realtime decisions",
        "compare Jev with an LLM"
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      "id": "typesafe-ai--system-one-adapter-python",
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      "rule": "011",
      "description": "Same `TypeSafeClient` interface backed by an LLM API, so you can compare Jev against a chat model on identical questions.",
      "descriptionZh": "官方 TypeSafeClient 替代实现，底层走 OpenAI/Anthropic 等 LLM，用来和对话模型做 Jev 对照实验",
      "descriptionFr": "Même interface `TypeSafeClient` adossée à une API LLM, pour comparer Jev à un modèle de chat sur des questions identiques.",
      "language": "Python",
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      "stars": 363,
      "forks": 55,
      "topics": [],
      "official": true,
      "archived": false,
      "pushedAt": "2026-09-22",
      "intents": [
        "compare Jev with an LLM",
        "benchmark or calibrate Jev",
        "judge or verify an agent's output"
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      "id": "kitze--unclutter",
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      "kind": "repo",
      "category": "apps",
      "rule": "191",
      "description": "Browser extension that removes page clutter with reusable template rules.",
      "descriptionZh": "使用可复用模板规则清除页面杂乱内容的浏览器扩展。",
      "descriptionFr": "Extension de navigateur qui supprime l'encombrement des pages grâce à des règles de modèles réutilisables.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 341,
      "forks": 35,
      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-18",
      "intents": [
        "review code or pull requests",
        "learn how Jev works",
        "compare Jev with an LLM"
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      "id": "itsmostafa--typesafe-mcp",
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      "category": "coding-agents",
      "rule": "104",
      "description": "Single-binary Go MCP server and CLI that exposes TypeSafe Jev judgments to Claude Desktop, Claude Code and Codex.",
      "descriptionZh": "单二进制 Go MCP 服务器和 CLI，将 TypeSafe Jev 判断开放给 Claude Desktop、Claude Code 和 Codex。",
      "descriptionFr": "Serveur MCP et CLI Go en binaire unique qui expose les jugements TypeSafe Jev à Claude Desktop, Claude Code et Codex.",
      "language": "Go",
      "license": "MIT",
      "stars": 337,
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        "mcp-tools"
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      "official": false,
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      "pushedAt": "2026-09-30",
      "intents": [
        "classify support tickets or messages",
        "serve Jev over MCP to any agent",
        "add Jev to a chat bot or Discord"
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    {
      "id": "ekzhang--openjev-sglang",
      "name": "ekzhang/openjev-sglang",
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      "category": "open-models",
      "rule": "229",
      "description": "Jev-compatible API endpoint on SGLang, prefill only.",
      "descriptionZh": "SGLang 上仅支持 prefill 的 Jev 兼容 API 端点。",
      "descriptionFr": "Point de terminaison d'API compatible Jev sur SGLang, prefill uniquement.",
      "language": "Python",
      "license": null,
      "stars": 336,
      "forks": 45,
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        "jev",
        "llm",
        "structured-generation",
        "systemone"
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      "official": false,
      "archived": false,
      "pushedAt": "2026-09-25",
      "intents": [
        "run Jev on open models without the vendor",
        "extract structured fields from text",
        "benchmark or calibrate Jev"
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      "id": "malevrigns--agent-jev",
      "name": "malevrigns/agent-jev",
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      "description": "Decision model on Qwen3-0.6B that answers without decoding tokens, reports 79.25 percent top-1 on the public Typed Decisions benchmark.",
      "descriptionZh": "基于 Qwen3-0.6B、无需解码词元即可作答的决策模型，在公开 Typed Decisions 基准上 top-1 准确率为 79.25%。",
      "descriptionFr": "Modèle de décision basé sur Qwen3-0.6B qui répond sans décoder de tokens, avec 79,25 % de top-1 sur le benchmark public Typed Decisions.",
      "language": "Python",
      "license": "Apache-2.0",
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      "intents": [
        "gate or approve tool calls before they run",
        "score or rank candidates in a pipeline",
        "benchmark or calibrate Jev"
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      "id": "lakeday-org--perch",
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      "category": "code-review",
      "rule": "147",
      "description": "Semantic linting: rules in plain language, each file judged by Jev, run locally or in CI.",
      "descriptionZh": "语义 lint：以自然语言编写规则，每个文件由 Jev 判定，可在本地或 CI 中运行。",
      "descriptionFr": "Linting sémantique : règles en langage courant, chaque fichier évalué par Jev, exécution en local ou en CI.",
      "language": "JavaScript",
      "license": "MIT",
      "stars": 316,
      "forks": 19,
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        "linter"
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      "official": false,
      "archived": false,
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      "intents": [
        "review code or pull requests",
        "call Jev from the command line",
        "judge or verify an agent's output"
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      "id": "hr98w--jev-visual",
      "name": "hr98w/jev-visual",
      "url": "https://github.com/hr98w/jev-visual",
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      "category": "open-models",
      "rule": "229",
      "description": "Educational visual-inference variant on Apple Silicon: shared context, direct candidate scoring.",
      "descriptionZh": "面向 Apple Silicon 的教学用视觉推理变体：共享上下文，直接对候选评分。",
      "descriptionFr": "Variante éducative d'inférence visuelle sur Apple Silicon : contexte partagé, notation directe des candidats.",
      "language": "Python",
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      "stars": 303,
      "forks": 27,
      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-21",
      "intents": [
        "run Jev on open models without the vendor",
        "score or rank candidates in a pipeline",
        "judge or verify an agent's output"
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      "id": "billionsbobby--jevrouter",
      "name": "BillionsBobby/JevRouter",
      "url": "https://github.com/BillionsBobby/JevRouter",
      "kind": "repo",
      "category": "routing",
      "rule": "118",
      "description": "Models, subagents, skills, MCP tools, and CLIs as one candidate set; Jev picks, the router enforces permissions and risk; reports 44 percent first-five tool-call hits against 24 for DeepSeek on Toolathlon.",
      "descriptionZh": "将模型、子代理、技能、MCP 工具和 CLI 作为统一候选集，由 Jev 选择，路由器执行权限和风险控制，在 Toolathlon 上前五次工具调用命中率为 44%，DeepSeek 为 24%。",
      "descriptionFr": "Modèles, subagents, skills, outils MCP et CLI réunis en un seul ensemble de candidats ; Jev choisit, le routeur applique les permissions et le risque ; 44 % de bons appels d'outils dans les cinq premiers contre 24 pour DeepSeek sur Toolathlon.",
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      "forks": 19,
      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-26",
      "intents": [
        "gate or approve tool calls before they run",
        "pick which skill or prompt to load",
        "benchmark or calibrate Jev"
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    {
      "id": "sutro-sh--jev-align",
      "name": "sutro-sh/jev-align",
      "url": "https://github.com/sutro-sh/jev-align",
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      "category": "benchmarks",
      "rule": "223",
      "description": "Finds the examples a Jev function is least sure about, asks you to label them, and improves the function with GEPA.",
      "descriptionZh": "找出 Jev 函数最不确定的样本，请你标注，并用 GEPA 改进该函数。",
      "descriptionFr": "Trouve les exemples dont une fonction Jev est la moins sûre, vous demande de les annoter et améliore la fonction avec GEPA.",
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        "benchmark or calibrate Jev",
        "label data or build a dataset",
        "classify support tickets or messages"
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      "url": "https://github.com/jkudish/jev-browser",
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      "category": "browser",
      "rule": "152",
      "description": "The first community browser agent on Jev, with a demo GIF.",
      "descriptionZh": "Jev 上首个社区浏览器代理，附演示 GIF。",
      "descriptionFr": "Le premier agent navigateur communautaire basé sur Jev, avec un GIF de démonstration.",
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      "stars": 297,
      "forks": 27,
      "topics": [],
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      "pushedAt": "2026-09-29",
      "intents": [
        "call Jev from the command line",
        "drive a browser or GUI with an agent",
        "benchmark or calibrate Jev"
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      "id": "miuuyy--astra-ares",
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      "rule": "104",
      "description": "Has Jev pick the reasoning effort and how long to hold it for a running Codex task, on a patched Codex CLI built from upstream source.",
      "descriptionZh": "让 Jev 为正在运行的 Codex 任务选择推理强度及保持时长，基于上游源码构建的补丁版 Codex CLI 运行。",
      "descriptionFr": "Laisse Jev choisir l'effort de raisonnement et sa durée de maintien pour une tâche Codex en cours, sur un CLI Codex patché compilé depuis la source upstream.",
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        "benchmark or calibrate Jev",
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      "descriptionZh": "非自回归 151M 决策引擎，带 WebGPU 浏览器运行时，在自有基准上报告 77.1% top-1 和 1.44% 校准误差。",
      "descriptionFr": "Moteur de décision non autorégressif de 151M avec un runtime navigateur WebGPU, annonçant 77,1 % de top-1 et 1,44 % d'erreur de calibration sur son propre benchmark.",
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        "machine-learning"
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        "judge or verify an agent's output",
        "benchmark or calibrate Jev",
        "run Jev on open models without the vendor"
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      "description": "Picks model, thinking depth, and speed mode for every Codex turn.",
      "descriptionZh": "为每一轮 Codex 对话选择模型、思考深度和速度模式。",
      "descriptionFr": "Choisit le modèle, la profondeur de réflexion et le mode de vitesse pour chaque tour de Codex.",
      "language": "JavaScript",
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      "stars": 278,
      "forks": 40,
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        "ai",
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      "pushedAt": "2026-09-22",
      "intents": [
        "route between models by task difficulty",
        "benchmark or calibrate Jev",
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      "url": "https://github.com/logan-markewich/jeff",
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      "category": "open-models",
      "rule": "229",
      "description": "Self-hosted System One API on the 400M GLiFormer, with benchmarks that say where it trails Jev.",
      "descriptionZh": "基于 400M GLiFormer 的自托管 System One API，附说明其在何处落后于 Jev 的基准测试。",
      "descriptionFr": "API System One auto-hébergée sur le GLiFormer 400M, avec des benchmarks qui indiquent où elle reste derrière Jev.",
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      "forks": 20,
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      "pushedAt": "2026-09-20",
      "intents": [
        "run Jev on open models without the vendor",
        "score or rank candidates in a pipeline",
        "compare Jev with an LLM"
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      "id": "vinilana--jev-gateway",
      "name": "vinilana/jev-gateway",
      "url": "https://github.com/vinilana/jev-gateway",
      "kind": "repo",
      "category": "routing",
      "rule": "118",
      "description": "Local gateway for Codex and Claude Code that sends the \"which tool next\" decision to Jev and everything else to your usual model.",
      "descriptionZh": "面向 Codex 和 Claude Code 的本地网关，将 which tool next 决策发送给 Jev，其余部分发送给常用模型。",
      "descriptionFr": "Passerelle locale pour Codex et Claude Code qui envoie la décision \"which tool next\" à Jev et tout le reste à votre modèle habituel.",
      "language": "TypeScript",
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      "forks": 36,
      "topics": [],
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      "pushedAt": "2026-09-25",
      "intents": [
        "gate or approve tool calls before they run",
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        "compare Jev with an LLM"
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      "id": "agricidaniel--jev-seo",
      "name": "AgriciDaniel/jev-seo",
      "url": "https://github.com/AgriciDaniel/jev-seo",
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      "category": "data-ops",
      "rule": "185",
      "description": "Crawls a site, checks it against 52 SEO rules, has Jev judge every page, and writes PDF, spreadsheet, and Markdown reports.",
      "descriptionZh": "抓取网站并依据 52 条 SEO 规则检查，由 Jev 评估每个页面，并生成 PDF、电子表格和 Markdown 报告。",
      "descriptionFr": "Explore un site, le vérifie par rapport à 52 règles SEO, fait juger chaque page par Jev, et génère des rapports PDF, tableur et Markdown.",
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      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-22",
      "intents": [
        "call Jev from the command line",
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        "benchmark or calibrate Jev"
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      "id": "ferrycorleone--crush-monitor",
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      "url": "https://github.com/FerryCorleone/crush-monitor",
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      "category": "apps",
      "rule": "191",
      "description": "Reads a chat log locally and labels every message with the three likeliest of twelve emotions and thirty-five intents.",
      "descriptionZh": "在本地读取聊天记录，并为每条消息标注十二种情绪和三十五种意图中最可能的三个。",
      "descriptionFr": "Lit un journal de discussion localement et étiquette chaque message avec les trois plus probables parmi douze émotions et trente-cinq intentions.",
      "language": "TypeScript",
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        "extract structured fields from text",
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      "id": "typesafe-ai--typesafe-sdk-js",
      "name": "typesafe-ai/typesafe-sdk-js",
      "url": "https://github.com/typesafe-ai/typesafe-sdk-js",
      "kind": "repo",
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      "rule": "011",
      "description": "TypeScript and JavaScript client with answer types inferred from your questions.",
      "descriptionZh": "官方 TypeScript/JavaScript 客户端，答案类型由问题自动推导（npm install @typesafe-ai/sdk）",
      "descriptionFr": "Client TypeScript et JavaScript avec des types de réponse inférés à partir de vos questions.",
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      "descriptionZh": "官方同步 + 异步 Python 客户端（pip install typesafe-sdk）",
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      "description": "Self-hosted, versioned skills library served over MCP, with Jev recommending which skill to load.",
      "descriptionZh": "通过 MCP 提供的自托管版本化技能库，由 Jev 推荐加载哪个技能。",
      "descriptionFr": "Bibliothèque de skills auto-hébergée et versionnée servie via MCP, avec Jev qui recommande quel skill charger.",
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        "pick which skill or prompt to load",
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        "run Jev on open models without the vendor"
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      "description": "Browser workbench for embodied experiments in MuJoCo where every robot step is a visible Jev decision, backed by a local model or a cloud API.",
      "descriptionZh": "面向 MuJoCo 中具身实验的浏览器工作台，每个机器人步骤都是可见的 Jev 决策，由本地模型或云端 API 支持。",
      "descriptionFr": "Workbench navigateur pour expériences incarnées dans MuJoCo où chaque pas du robot est une décision Jev visible, adossé à un modèle local ou à une API cloud.",
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        "compare Jev with an LLM",
        "judge or verify an agent's output",
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        "gate or approve tool calls before they run",
        "call Jev from the command line",
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      "descriptionZh": "描述你的创业想法；Jev 会判断该扼杀、修正还是发布。",
      "descriptionFr": "Décrivez votre idée de startup ; Jev dit s'il faut l'abandonner, la corriger ou la lancer.",
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        "benchmark or calibrate Jev",
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      "description": "Local-first MCP plugin for continuous quality review by coding agents.",
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        "judge or verify an agent's output",
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      "description": "Camera-only drone in MuJoCo with Jev in the loop at 2.5 Hz.",
      "descriptionZh": "在 MuJoCo 中仅使用摄像头的无人机，Jev 以 2.5 Hz 参与闭环。",
      "descriptionFr": "Drone à caméra seule dans MuJoCo avec Jev dans la boucle à 2,5 Hz.",
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        "build a game or simulation on Jev",
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      "descriptionZh": "将工作转化为内容，由 Jev 决定值得发布的内容。",
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        "judge or verify an agent's output",
        "benchmark or calibrate Jev",
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      "description": "Three.js driving simulator where Jev picks steering and speed from sampled paths up to four times a second; [drive it](https://jevpilot.standardagents.ai).",
      "descriptionZh": "Three.js 驾驶模拟器，Jev 每秒最多四次从采样路径中选择转向和速度；[drive it](https://jevpilot.standardagents.ai)。",
      "descriptionFr": "Simulateur de conduite Three.js où Jev choisit direction et vitesse parmi des trajectoires échantillonnées jusqu'à quatre fois par seconde ; [conduisez-le](https://jevpilot.standardagents.ai).",
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        "build a game or simulation on Jev",
        "voice or realtime decisions",
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      "descriptionFr": "Benchmark pour modèles de décision de classe Jev : rubrique bornée en entrée, réponse typée avec une probabilité par option en sortie, avec expériences en cascade et en comité rapportées séparément.",
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        "decisionmodels"
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      "intents": [
        "benchmark or calibrate Jev",
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      "descriptionFr": "Exécute trois bots de trading pilotés par Jev contre les perpetuals OKX avec un tableau de bord en direct, paper trading par défaut et argent réel derrière des flags explicites.",
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        "benchmark or calibrate Jev",
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      "intents": [
        "classify support tickets or messages",
        "benchmark or calibrate Jev",
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      "category": "finance",
      "rule": "242",
      "description": "Live Jev trader on Hyperliquid.",
      "descriptionZh": "在 Hyperliquid 上运行的实时 Jev 交易员。",
      "descriptionFr": "Trader Jev en direct sur Hyperliquid.",
      "language": "TypeScript",
      "license": "NOASSERTION",
      "stars": 171,
      "forks": 30,
      "topics": [
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        "trade or score financial signals",
        "benchmark or calibrate Jev",
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      "description": "Small open decision model on Qwen3.5: state plus typed questions to calibrated probabilities.",
      "descriptionZh": "基于 Qwen3.5 的小型开放决策模型：状态加类型化问题输出校准概率。",
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        "run Jev on open models without the vendor",
        "classify support tickets or messages",
        "compare Jev with an LLM"
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      "category": "coding-agents",
      "rule": "104",
      "description": "Guardrails that steer instead of interrupt: irreversible calls, off-task calls, stuck loops, unverified done claims, about 250 ms each.",
      "descriptionZh": "引导而非打断的护栏：针对不可逆调用、偏离任务调用、卡死循环和未经验证的完成声明，每次约 250 ms。",
      "descriptionFr": "Garde-fous qui orientent au lieu d'interrompre : appels irréversibles, appels hors tâche, boucles bloquées, affirmations d'achèvement non vérifiées, environ 250 ms chacun.",
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        "stop an agent from finishing early",
        "judge or verify an agent's output",
        "detect prompt injection or risky commands"
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      "category": "search-rag",
      "rule": "163",
      "description": "Walks a Neo4j graph by classifying neighbouring relationships.",
      "descriptionZh": "通过分类相邻关系遍历 Neo4j 图谱。",
      "descriptionFr": "Parcourt un graphe Neo4j en classifiant les relations voisines.",
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      "intents": [
        "compare Jev with an LLM",
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      "kind": "repo",
      "category": "context",
      "rule": "131",
      "description": "Trims long Bash output with Jev after the command runs and before the model sees it; short output, errors, and structured formats pass untouched.",
      "descriptionZh": "在命令运行后、模型可见之前，用 Jev 裁剪冗长的 Bash 输出；简短输出、错误和结构化格式原样通过。",
      "descriptionFr": "Élague les longues sorties Bash avec Jev après l'exécution de la commande et avant que le modèle ne les voie ; les sorties courtes, les erreurs et les formats structurés passent intacts.",
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        "compact or prune agent context",
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      "category": "coding-agents",
      "rule": "104",
      "description": "A measured tool-call gate plus a `jev_ask` tool for typed answers inside Pi.",
      "descriptionZh": "在 Pi 内部提供计量式工具调用门控和用于类型化回答的 `jev_ask` 工具。",
      "descriptionFr": "Un contrôle mesuré des appels d'outils plus un outil `jev_ask` pour des réponses typées dans Pi.",
      "language": "TypeScript",
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      "forks": 13,
      "topics": [
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      "category": "cli",
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      "description": "Searches the web for an agent and has Jev score and dedupe results and page chunks, so only the relevant text reaches the model.",
      "descriptionZh": "为智能体搜索网络，并对结果和页面分块进行 Jev 评分与去重，因此只有相关文本会传给模型。",
      "descriptionFr": "Recherche sur le web pour un agent et fait scorer et dédupliquer par Jev les résultats et les fragments de pages, afin que seul le texte pertinent atteigne le modèle.",
      "language": "Go",
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      "intents": [
        "compact or prune agent context",
        "rerank search results",
        "run Jev on open models without the vendor"
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      "category": "coding-agents",
      "rule": "104",
      "description": "Skill for writing and improving programs that call Jev.",
      "descriptionZh": "用于编写和改进调用 Jev 的程序的 Skill。",
      "descriptionFr": "Skill pour écrire et améliorer des programmes qui appellent Jev.",
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      "forks": 11,
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      "intents": [
        "score or rank candidates in a pipeline",
        "add Jev to a chat bot or Discord",
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      "category": "search-rag",
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      "description": "Greps by meaning instead of by regex: every line gets a probability from Jev, and meanings combine with AND, OR, and NOT.",
      "descriptionZh": "按语义而非正则进行 grep：每一行都从 Jev 获得一个概率，语义可通过 AND、OR 和 NOT 组合。",
      "descriptionFr": "Recherche par sens plutôt que par regex : chaque ligne reçoit une probabilité de Jev, et les sens se combinent avec AND, OR et NOT.",
      "language": "JavaScript",
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      "description": "TypeScript AI SDK where decide, via Jev, is a peer of generate and stream: one typed-judgment call routes model choice, prunes context, and picks MCP tools.",
      "descriptionZh": "TypeScript AI SDK，其中经由 Jev 的 decide 与 generate 和 stream 并列：一次类型化判断调用负责路由模型选择、裁剪上下文并挑选 MCP 工具。",
      "descriptionFr": "SDK d'IA TypeScript où decide, via Jev, est l'égal de generate et stream : un appel de jugement typé oriente le choix du modèle, élague le contexte et sélectionne les outils MCP.",
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      "topics": [
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      "descriptionFr": "Lisez l'anglais à voix haute et voyez-le noté : la reconnaissance vocale en continu écoute, Jev juge mot à mot, et le total est calculé arithmétiquement dans le code.",
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      "description": "Code quality and coverage signals for coding agents.",
      "descriptionZh": "为编程智能体提供代码质量与覆盖率信号。",
      "descriptionFr": "Signaux de qualité de code et de couverture pour les agents de codage.",
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        "judge or verify an agent's output",
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      "descriptionFr": "Affiche les lignes correspondant à une description en anglais courant, en continu depuis `tail -f` avec un plafond de dépenses, et rapporte un F1 de 0,91 sur le spam SMS contre 0,72 pour un grep par mots-clés.",
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      "intents": [
        "moderate content or detect abuse",
        "classify support tickets or messages",
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      "descriptionZh": "通过真实 Chrome 会话或 Windows UI Automation 为 Codex 运行委派式 GUI 任务，每一步由 Jev 选择控件。",
      "descriptionFr": "Exécute une tâche d'interface graphique déléguée pour Codex via la vraie session Chrome ou Windows UI Automation, avec Jev qui choisit le contrôle à chaque étape.",
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      "descriptionZh": "让 Jev 选择每个只读社交研究步骤，同时 socai 在真实 Chrome 会话中执行，并将可审查的 Instagram、TikTok 或 LinkedIn 证据流式汇入报告。",
      "descriptionFr": "Laisse Jev choisir chaque étape de recherche sociale en lecture seule pendant que socai l'exécute dans une vraie session Chrome et diffuse des preuves vérifiables Instagram, TikTok ou LinkedIn dans un rapport.",
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        "run Jev on open models without the vendor",
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      "descriptionZh": "使用实时会话上下文为下一步骤对已安装的 skills 进行排名的 Rust CLI 和 hooks，支持弃权。",
      "descriptionFr": "CLI Rust et hooks qui classent les skills installés pour l'étape suivante à partir du contexte live de la session, avec abstention.",
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        "pick which skill or prompt to load",
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      "descriptionZh": "编码智能体将重判断工作交给它的命令行工具包，每次请求对应一个带类型的 Jev 工作流。",
      "descriptionFr": "Boîte à outils en ligne de commande à laquelle les agents de codage confient les tâches à fort jugement, avec un workflow Jev typé par requête.",
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      "descriptionZh": "Fish 风格的 zsh 历史建议，按 Jev 排序。",
      "descriptionFr": "Suggestions d'historique zsh façon Fish, classées par Jev.",
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      "description": "Voice and typed computer use for macOS: Jev picks the next on-screen action from the Accessibility tree, with no screenshots.",
      "descriptionZh": "面向 macOS 的语音与键入计算机操作：Jev 从 Accessibility tree 中选择下一个屏幕操作，无需截图。",
      "descriptionFr": "Pilotage vocal et au clavier de macOS : Jev choisit la prochaine action à l'écran depuis l'Accessibility tree, sans captures d'écran.",
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      "descriptionFr": "Expose `/v1/systemone` sur DiffusionGemma en lisant des réponses typées et des segments de texte depuis un canvas initialisé et figé, sans génération.",
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        "benchmark or calibrate Jev",
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      "descriptionZh": "带 100 个模拟工具的个人助理智能体，用于测量经 Jev 门控的智能体所需步数。",
      "descriptionFr": "Agent assistant personnel avec 100 outils simulés, mesurant le nombre d'étapes nécessaires à un agent piloté par Jev.",
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      "descriptionZh": "与 macOS 对话：本地 whisper.cpp 转录，一次扇出的 Jev 调用选择操作及其带类型的参数，代码负责执行。",
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      "descriptionFr": "Barre de commandes en forme de chat où Jev choisit l'outil, les arguments et la forme de la réponse, et le code construit la réponse à partir des données propres aux outils, donc aucun modèle n'écrit le texte.",
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      "descriptionZh": "在每个工具结果进入上下文之前对其进行评判，从而减缓窗口填充速度，而无需事后清理。",
      "descriptionFr": "Évalue chaque résultat d'outil avant son entrée en contexte, pour que la fenêtre se remplisse moins vite au lieu d'être nettoyée ensuite.",
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      "descriptionZh": "为任务挑选 Cursor、Claude Code、Codex 或 OpenCode 以及模型和 effort，然后启动它。",
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      "descriptionZh": "配置驱动的收件箱分类，可打标签、移动、标记和通知，经由 TypeSafe 直接处理或经由 OpenRouter 处理。",
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      "descriptionZh": "作为 RubyLLM 2 结构化输出提供者的 TypeSafe。",
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      "descriptionZh": "每个步骤消耗一次 Jev 请求以选择操作的浏览器代理。",
      "descriptionFr": "Agent navigateur qui dépense une requête Jev par étape pour choisir l'action.",
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      "description": "Scores OpenTelemetry log signal before paying for LLM analysis.",
      "descriptionZh": "在为 LLM 分析付费之前对 OpenTelemetry 日志信号进行评分。",
      "descriptionFr": "Score le signal des logs OpenTelemetry avant de payer pour l'analyse LLM.",
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      "descriptionZh": "通过 Vercel AI Gateway 为 Pi 提供自动模型路由。",
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      "descriptionZh": "更强的一遍式评分器，附带与 jevlike 起始设计直接对比的基准测试。",
      "descriptionFr": "Un évaluateur en un seul passage plus puissant avec un benchmark direct contre le design de démarrage jevlike.",
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      "descriptionZh": "构建于 LiteLLM 之上的 LLM 路由器。",
      "descriptionFr": "Routeur LLM au-dessus de LiteLLM.",
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      "descriptionZh": "作为经校准的重排器的 Jev：单次调用，最多 30 个文档，每个文档一个概率。",
      "descriptionFr": "Jev comme reranker calibré : un appel, jusqu'à 30 documents, une probabilité par document.",
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      "description": "Semantic SQL for PostgreSQL, with Jev answering the predicates.",
      "descriptionZh": "面向 PostgreSQL 的语义 SQL，由 Jev 回答谓词。",
      "descriptionFr": "SQL sémantique pour PostgreSQL, avec Jev qui répond aux prédicats.",
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      "descriptionZh": "逐字压缩方案，移植到 Pi。",
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      "descriptionZh": "连接证据、Jev 判定、许可操作和已验证结果的小型工具框架。",
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      "description": "Offline server wire-compatible with the System One endpoint, checked against the official SDK; reports 80.5 percent on JevBench's public items against 86.6 percent published for the hosted API.",
      "descriptionZh": "与 System One endpoint 线路兼容的离线服务器，已对照官方 SDK 验证；在 JevBench 公开条目上得分为 80.5%，托管 API 公布的分数为 86.6%。",
      "descriptionFr": "Serveur hors ligne compatible avec le point de terminaison System One, vérifié contre le SDK officiel ; rapporte 80,5 pour cent sur les éléments publics de JevBench contre 86,6 pour cent publiés pour l'API hébergée.",
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      "intents": [
        "run Jev on open models without the vendor",
        "classify support tickets or messages",
        "compare Jev with an LLM"
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      "name": "valentynkit/jev-commit",
      "url": "https://github.com/valentynkit/jev-commit",
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      "category": "code-review",
      "rule": "147",
      "description": "Pre-commit hook: one Jev call judges whether the commit message matches the staged diff, plus debug leftovers, unmentioned work, and a credential belt; warns except on a secret, which it blocks.",
      "descriptionZh": "预提交钩子：一次 Jev 调用判断提交信息是否与暂存 diff 相符，并检查调试残留、未提及的工作和凭证带；一般仅警告，发现密钥则阻止提交。",
      "descriptionFr": "Hook pre-commit : un appel Jev juge si le message de commit correspond au diff stagé, plus les restes de débogage, le travail non mentionné et les identifiants exposés ; avertit sauf en cas de secret, qu'il bloque.",
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        "judge or verify an agent's output",
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        "compare Jev with an LLM"
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      "name": "saibimajdi/typesafeai-dotnet-sdk",
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      "category": "clients",
      "rule": "205",
      "description": "Community .NET SDK with typed Noul, Choice, and Score questions.",
      "descriptionZh": "提供类型化 Noul、Choice 和 Score 问答的社区 .NET SDK。",
      "descriptionFr": "SDK .NET communautaire avec des questions typées Noul, Choice et Score.",
      "language": "C#",
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      "forks": 1,
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        "ai",
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        "extract structured fields from text",
        "score or rank candidates in a pipeline",
        "judge or verify an agent's output"
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      "name": "HyunjunJeon/pi-quiet-ask",
      "url": "https://github.com/HyunjunJeon/pi-quiet-ask",
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      "category": "coding-agents",
      "rule": "104",
      "description": "Jev as the Pi coding agent's quiet decision layer.",
      "descriptionZh": "作为 Pi 编程智能体静默决策层的 Jev。",
      "descriptionFr": "Jev comme couche de décision silencieuse de l'agent de codage Pi.",
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      "forks": 0,
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        "gate or approve tool calls before they run",
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      "rule": "147",
      "description": "Every file in a PR judged against Clean Code rules, then reviewed by an LLM.",
      "descriptionZh": "根据 Clean Code 规则评判 PR 中的每个文件，再由 LLM 复审。",
      "descriptionFr": "Chaque fichier d'une PR jugé selon les règles Clean Code, puis relu par un LLM.",
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        "review code or pull requests",
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      "rule": "147",
      "description": "Configurable semantic linting with file-level Noul judgments.",
      "descriptionZh": "可配置的语义 lint，带文件级 Noul 判定。",
      "descriptionFr": "Linting sémantique configurable avec des jugements Noul au niveau des fichiers.",
      "language": "TypeScript",
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      "stars": 12,
      "forks": 0,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-20",
      "intents": [
        "judge or verify an agent's output",
        "review code or pull requests",
        "call Jev from the command line"
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      "description": "Packs 32 items into one request for bulk classification and calibrates the confidence cut that sends the least-sure rows to a person, reporting 533 items a second at 89.2 percent agreement with human labels.",
      "descriptionZh": "将32个条目打包进单次请求进行批量分类，并校准置信度阈值以将最不确定的行转交人工处理，报告称每秒处理533个条目，与人工标注的一致率为89.2%。",
      "descriptionFr": "Regroupe 32 éléments dans une seule requête pour la classification en masse et calibre le seuil de confiance qui envoie les lignes les moins sûres à un humain, avec 533 éléments par seconde rapportés à 89,2 pour cent d'accord avec les étiquettes humaines.",
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      "license": "NOASSERTION",
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        "batching",
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        "http2",
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        "llm",
        "throughput"
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      "official": false,
      "archived": false,
      "pushedAt": "2026-09-22",
      "intents": [
        "benchmark or calibrate Jev",
        "classify support tickets or messages",
        "label data or build a dataset"
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      "description": "Labels every post in your X timeline with what it wants you to do.",
      "descriptionZh": "为你X时间线中的每篇帖子标注它想让你做什么。",
      "descriptionFr": "Étiquette chaque publication de votre timeline X avec ce qu'elle cherche à vous faire faire.",
      "language": "JavaScript",
      "license": "MIT",
      "stars": 12,
      "forks": 3,
      "topics": [
        "ai",
        "chrome-extension",
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        "typesafe",
        "userscript",
        "x-twitter"
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      "official": false,
      "archived": false,
      "pushedAt": "2026-09-27",
      "intents": [
        "detect prompt injection or risky commands",
        "compare Jev with an LLM",
        "judge or verify an agent's output"
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      "category": "games",
      "rule": "236",
      "description": "Zero-shot English goals on a simulated Franka arm; Jev chains hardcoded primitives.",
      "descriptionZh": "在模拟Franka机械臂上实现零样本英文目标，Jev串联硬编码原语。",
      "descriptionFr": "Objectifs en anglais zero-shot sur un bras Franka simulé ; Jev enchaîne des primitives codées en dur.",
      "language": "Python",
      "license": "MIT",
      "stars": 12,
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      "intents": [
        "compare Jev with an LLM",
        "benchmark or calibrate Jev",
        "learn how Jev works"
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      "category": "demos",
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      "description": "LangGraph demo that sends a mocked email to Jev and routes on the typed Choice it returns.",
      "descriptionZh": "将模拟邮件发送给Jev并根据其返回的类型化Choice进行路由的LangGraph演示。",
      "descriptionFr": "Démo LangGraph qui envoie un e-mail simulé à Jev et route selon le Choice typé qu'elle renvoie.",
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      "license": null,
      "stars": 12,
      "forks": 3,
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        "judge or verify an agent's output",
        "classify support tickets or messages",
        "learn how Jev works"
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      "category": "context",
      "rule": "131",
      "description": "Checks every side-effecting tool call against what you said earlier in the session, so \"review only\" still holds after compaction.",
      "descriptionZh": "根据会话早期的发言检查每个有副作用的工具调用，以便在压缩后review only仍然成立。",
      "descriptionFr": "Vérifie chaque appel d'outil à effet de bord par rapport à ce qui a été dit plus tôt dans la session, pour que \"review only\" reste valable après compaction.",
      "language": "TypeScript",
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      "forks": 1,
      "topics": [
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        "gate or approve tool calls before they run",
        "compact or prune agent context",
        "judge or verify an agent's output"
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      "descriptionZh": "检查Pi工具调用、工具输出和回复中的风险操作与提示注入，支持用户审批、上下文复查、密钥擦除和可选任务固定。",
      "descriptionFr": "Vérifie les appels d'outils Pi, les sorties d'outils et les réponses contre les actions risquées et l'injection de prompt, avec approbations utilisateur, revérifications du contexte, masquage des secrets et épinglage facultatif des tâches.",
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        "gate or approve tool calls before they run",
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      "category": "coding-agents",
      "rule": "104",
      "description": "Skill for deciding where a typed judgment belongs at all and what stays in code; a companion to the official skill, not a replacement.",
      "descriptionZh": "用于决定类型化判断应放在何处以及哪些内容应保留在代码中的Skill，是官方Skill的补充而非替代。",
      "descriptionFr": "Skill pour décider où un jugement typé a sa place et ce qui reste dans le code ; un complément au skill officiel, pas un remplacement.",
      "language": "Python",
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      "topics": [
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      "intents": [
        "score or rank candidates in a pipeline",
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      "description": "One grounded Jev and Playwright core behind a typed SDK, a persistent CLI, and an MCP server.",
      "descriptionZh": "在类型化SDK、持久化CLI和MCP服务器背后的统一的有依据Jev和Playwright核心。",
      "descriptionFr": "Un cœur Jev et Playwright ancré derrière un SDK typé, une CLI persistante et un serveur MCP.",
      "language": "JavaScript",
      "license": "Apache-2.0",
      "stars": 11,
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      "intents": [
        "drive a browser or GUI with an agent",
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      "category": "code-review",
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      "description": "Turns the preferences in your AGENTS.md into a linter that runs on code changes and reports back to the agent.",
      "descriptionZh": "将AGENTS.md中的偏好转换为在代码变更上运行并向智能体回报告的linter。",
      "descriptionFr": "Transforme les préférences de votre AGENTS.md en un linter qui s'exécute sur les modifications de code et rend compte à l'agent.",
      "language": "JavaScript",
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        "judge or verify an agent's output",
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      "category": "code-review",
      "rule": "147",
      "description": "Checks the code against the requirements in a Markdown spec on every commit and fails the build when the two drift apart.",
      "descriptionZh": "在每次提交时根据Markdown规范检查代码，并在两者偏离时使构建失败。",
      "descriptionFr": "Vérifie le code par rapport aux exigences d'une spec Markdown à chaque commit et fait échouer le build lorsque les deux divergent.",
      "language": "TypeScript",
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      "archived": false,
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      "intents": [
        "call Jev from the command line",
        "judge or verify an agent's output",
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      "category": "safety",
      "rule": "179",
      "description": "Does the cited paper support the sentence citing it? Claude finds the quote, Jev scores it, a human decides.",
      "descriptionZh": "被引论文是否支持引用它的句子？Claude查找引文，Jev评分，由人工决定。",
      "descriptionFr": "L'article cité soutient-il la phrase qui le cite ? Claude trouve la citation, Jev la note, un humain décide.",
      "language": "JavaScript",
      "license": "MIT",
      "stars": 11,
      "forks": 1,
      "topics": [
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      "official": false,
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      "intents": [
        "judge or verify an agent's output",
        "label data or build a dataset",
        "compare Jev with an LLM"
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      "id": "justinhe16--trade-jev",
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      "category": "finance",
      "rule": "242",
      "description": "Backtests Jev as a buy, sell, or hold trader on NQ order-book data.",
      "descriptionZh": "在NQ订单簿数据上对作为买入、卖出或持有交易者的Jev进行回测。",
      "descriptionFr": "Évalue Jev en backtest comme trader d'achat, de vente ou de conservation sur des données de carnet d'ordres NQ.",
      "language": "Python",
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        "benchmark or calibrate Jev",
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      "descriptionZh": "停止猜测阈值：对照 LLM teacher 进行校准、阈值划分和漂移检查。",
      "descriptionFr": "Arrêtez de deviner les seuils : calibrez, seuillez et contrôlez la dérive face à un LLM enseignant.",
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        "benchmark or calibrate Jev",
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      "descriptionZh": "面向 DSPy 中 Jev 决策的可复现校准和选择性风险基准测试。",
      "descriptionFr": "Benchmarks reproductibles de calibration et de risque sélectif pour les décisions Jev dans DSPy.",
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      "stars": 11,
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        "benchmark or calibrate Jev",
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      "rule": "205",
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      "descriptionZh": "非官方 TypeSafe System One API Java 客户端，通过 HTTP 调用 Choice、Score 和 Noul 问题。",
      "descriptionFr": "Client Java non officiel pour l'API TypeSafe System One, appelant les questions Choice, Score et Noul via HTTP.",
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      "intents": [
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      "category": "clients",
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      "description": "Kotlin DSL and client.",
      "descriptionZh": "Kotlin DSL 和客户端。",
      "descriptionFr": "DSL et client Kotlin.",
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      "descriptionZh": "GitHub App，会向 Jev 询问拉取请求可安全批准还是需要专家处理，然后将裁决映射为 check run。",
      "descriptionFr": "Application GitHub qui demande à Jev si une pull request peut être approuvée sans risque ou nécessite un spécialiste, puis convertit le verdict en check run.",
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      "descriptionZh": "在分类体系上做递归选择，突破 255-option 上限。",
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      "descriptionFr": "Pokemon Red sur PyBoy : le code gère l’itinéraire et les calculs, Jev ne choisit qu’aux embranchements, et chaque tour de combat enregistre une prédiction faible évaluée par le score de Brier par rapport à ce qu’indique la RAM.",
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      "description": "Runs several coding agents locally with Jev as judge and orchestrator.",
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      "descriptionFr": "Exécute plusieurs agents de codage en local avec Jev comme juge et orchestrateur.",
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      "description": "LlamaIndex reranker and router, cheaper than an LLM judge.",
      "descriptionZh": "LlamaIndex 重排器和路由器，比 LLM 评判更便宜。",
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      "descriptionFr": "Bloc de registre shadcn/ui : résultats par mots-clés dès la première frappe, reclassés par Jev un instant après, et l'ordre par mots-clés est conservé si l'appel échoue.",
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      "description": "Voice-driven auto-advance for Slidev on Cloudflare Agents.",
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      "descriptionFr": "Plugin Neovim : posez une question en langage naturel au buffer, Treesitter le découpe en fonctions, Jev note chacune d'elles, et les réponses arrivent dans quickfix classées par probabilité.",
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      "descriptionZh": "潜行游戏，其中 Jev 负责守卫的判断，确定性代码掌管世界。",
      "descriptionFr": "Jeu d'infiltration où Jev produit les jugements des gardes et le code déterministe contrôle le monde.",
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      "descriptionZh": "四个 Hermes 工具，用于原子检查、路由和按评分标准打分；已收录于 Hermes 插件目录。",
      "descriptionFr": "Quatre outils Hermes pour vérifications atomiques, routage et notation par grille ; répertoriés dans le catalogue de plugins Hermes.",
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      "descriptionZh": "通过 USB 运行的 Android 子智能体，依次执行 observe、normalize、decide、mutate、verify，并由 Jev 进行决策。",
      "descriptionFr": "Sous-agent Android via USB exécutant observe, normalize, decide, mutate, verify, avec Jev qui décide.",
      "language": "Python",
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      "descriptionZh": "PR 风险路由与评审教练。",
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      "descriptionZh": "在 2,000 封钓鱼邮件上对比 Jev 与 Claude Haiku：准确率、校准、延迟、成本。",
      "descriptionFr": "Jev contre Claude Haiku sur 2 000 e-mails de phishing : précision, calibration, latence, coût.",
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      "descriptionZh": "一个根据自然语言规则进行判断、防止 agent 过早停止的 Stop hook。",
      "descriptionFr": "Hook Stop qui empêche l'agent de s'arrêter trop tôt, évalué selon des règles en langage naturel.",
      "language": "Python",
      "license": "MIT",
      "stars": 5,
      "forks": 1,
      "topics": [
        "ai-agents",
        "claude-code",
        "codex",
        "hooks",
        "jev"
      ],
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      "intents": [
        "stop an agent from finishing early",
        "judge or verify an agent's output",
        "benchmark or calibrate Jev"
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      "id": "suenot--codex-jev-router",
      "name": "suenot/codex-jev-router",
      "url": "https://github.com/suenot/codex-jev-router",
      "kind": "repo",
      "category": "coding-agents",
      "rule": "104",
      "description": "Uses Jev to select the model and reasoning effort for Codex subagents, with confidence gates and a Sol fallback.",
      "descriptionZh": "使用 Jev 为 Codex subagents 选择模型和推理强度，并设有置信度门槛和 Sol fallback。",
      "descriptionFr": "Utilise Jev pour sélectionner le modèle et l'effort de raisonnement des sous-agents Codex, avec des seuils de confiance et un repli Sol.",
      "language": "JavaScript",
      "license": "MIT",
      "stars": 5,
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      "topics": [],
      "official": false,
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      "intents": [
        "judge or verify an agent's output",
        "compact or prune agent context",
        "compare Jev with an LLM"
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      "id": "cephalization--jev-triage",
      "name": "cephalization/jev-triage",
      "url": "https://github.com/cephalization/jev-triage",
      "kind": "repo",
      "category": "code-review",
      "rule": "147",
      "description": "Pulls large repositories and triages their issues with typed Jev questions.",
      "descriptionZh": "拉取大型仓库并使用类型化 Jev questions 对其 issues 进行分类。",
      "descriptionFr": "Récupère de grands dépôts et trie leurs issues avec des questions Jev typées.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 5,
      "forks": 0,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-29",
      "intents": [
        "review code or pull requests",
        "judge or verify an agent's output",
        "voice or realtime decisions"
      ]
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    {
      "id": "kylemclaren--jevpdf",
      "name": "kylemclaren/jevpdf",
      "url": "https://github.com/kylemclaren/jevpdf",
      "kind": "repo",
      "category": "search-rag",
      "rule": "163",
      "description": "Searches a PDF by meaning in the browser: pdf.js extracts the lines locally, Jev answers one Noul per line in batches of 16, and matching lines light up page by page, ranked by probability.",
      "descriptionZh": "在浏览器中按语义搜索 PDF：pdf.js 在本地提取文本行，Jev 以每批 16 行的方式逐行回答一个 Noul，匹配行按概率排名逐页高亮显示。",
      "descriptionFr": "Recherche dans un PDF par le sens dans le navigateur : pdf.js extrait les lignes localement, Jev répond un Noul par ligne par lots de 16, et les lignes correspondantes s'illuminent page par page, classées par probabilité.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 5,
      "forks": 1,
      "topics": [
        "jev",
        "pdf"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-23",
      "intents": [
        "rerank search results",
        "compare Jev with an LLM",
        "score or rank candidates in a pipeline"
      ]
    },
    {
      "id": "query-farm--vgi-typesafe",
      "name": "Query-farm/vgi-typesafe",
      "url": "https://github.com/Query-farm/vgi-typesafe",
      "kind": "repo",
      "category": "data-ops",
      "rule": "185",
      "description": "DuckDB worker that exposes choice, noul, and score as lateral-joinable table functions in SQL.",
      "descriptionZh": "将 choice、noul 和 score 作为可在 SQL 中横向连接的表函数暴露的 DuckDB worker。",
      "descriptionFr": "Worker DuckDB qui expose choice, noul et score comme fonctions table utilisables en jointure latérale en SQL.",
      "language": "Python",
      "license": "MIT",
      "stars": 5,
      "forks": 0,
      "topics": [
        "ai",
        "apache-arrow",
        "arrow",
        "classification",
        "data-engineering",
        "duckdb"
      ],
      "official": false,
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      "intents": [
        "score or rank candidates in a pipeline",
        "classify support tickets or messages",
        "label data or build a dataset"
      ]
    },
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      "id": "chris-wozniczek--jev-voice-control",
      "name": "chris-wozniczek/jev-voice-control",
      "url": "https://github.com/chris-wozniczek/jev-voice-control",
      "kind": "repo",
      "category": "apps",
      "rule": "191",
      "description": "Menu-bar Swift app turning spoken commands into Jev typed decisions and macOS actions.",
      "descriptionZh": "将语音命令转换为 Jev 类型化决策和 macOS 操作的菜单栏 Swift 应用。",
      "descriptionFr": "Application Swift pour barre de menus qui transforme les commandes vocales en décisions typées Jev et en actions macOS.",
      "language": "Swift",
      "license": "MIT",
      "stars": 5,
      "forks": 2,
      "topics": [
        "computer-use",
        "cua",
        "jev",
        "jev-ai",
        "jev-api",
        "jev-model"
      ],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-21",
      "intents": [
        "drive a browser or GUI with an agent",
        "voice or realtime decisions",
        "gate or approve tool calls before they run"
      ]
    },
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      "id": "markjaquith--typesafe-ai-playground",
      "name": "markjaquith/typesafe-ai-playground",
      "url": "https://github.com/markjaquith/typesafe-ai-playground",
      "kind": "repo",
      "category": "demos",
      "rule": "248",
      "description": "Rust CLI playground for experiments around Jev.",
      "descriptionZh": "用于围绕 Jev 进行实验的 Rust CLI playground。",
      "descriptionFr": "Playground CLI en Rust pour des expériences autour de Jev.",
      "language": "Rust",
      "license": "MIT",
      "stars": 5,
      "forks": 1,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-22",
      "intents": [
        "call Jev from the command line",
        "classify support tickets or messages",
        "benchmark or calibrate Jev"
      ]
    },
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      "id": "replynodes--jev-web-analyzer",
      "name": "replynodes/jev-web-analyzer",
      "url": "https://github.com/replynodes/jev-web-analyzer",
      "kind": "repo",
      "category": "demos",
      "rule": "248",
      "description": "Turns a SaaS landing page into Markdown and asks Jev ten bounded Choice questions about what a first-time visitor understands, shown as a founder teardown.",
      "descriptionZh": "将 SaaS 落地页转换为 Markdown，并向 Jev 提出十个有界 Choice 问题以了解首次访问者的理解情况，以创始人拆解形式呈现。",
      "descriptionFr": "Convertit une landing page SaaS en Markdown et pose à Jev dix questions Choice bornées sur ce que comprend un visiteur qui découvre, présenté comme une analyse pour fondateurs.",
      "language": "TypeScript",
      "license": "Apache-2.0",
      "stars": 5,
      "forks": 0,
      "topics": [
        "ai-evaluation",
        "jev",
        "product-positioning",
        "saas",
        "typesafe-ai",
        "vercel-ai-gateway"
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      "official": false,
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      "intents": [
        "benchmark or calibrate Jev",
        "learn how Jev works",
        "judge or verify an agent's output"
      ]
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      "name": "y0usaf/typesafe-cli",
      "url": "https://github.com/y0usaf/typesafe-cli",
      "kind": "repo",
      "category": "cli",
      "rule": "217",
      "description": "Noul, choice, and score answers as numbers from the shell.",
      "descriptionZh": "从 shell 以数字形式返回 Noul、choice 和 score 答案。",
      "descriptionFr": "Réponses Noul, choice et score sous forme de nombres depuis le shell.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 5,
      "forks": 0,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-19",
      "intents": [
        "call Jev from the command line",
        "benchmark or calibrate Jev",
        "judge or verify an agent's output"
      ]
    },
    {
      "id": "alterhq--typesafe-sdk-swift",
      "name": "alterhq/typesafe-sdk-swift",
      "url": "https://github.com/alterhq/typesafe-sdk-swift",
      "kind": "repo",
      "category": "clients",
      "rule": "205",
      "description": "Unofficial Swift SDK for the TypeSafe AI API, wrapping typed questions and answers in Swift types.",
      "descriptionZh": "非官方 TypeSafe AI API Swift SDK，将类型化问题和答案封装为 Swift 类型。",
      "descriptionFr": "SDK Swift non officiel pour l'API TypeSafe AI, encapsulant les questions et réponses typées dans des types Swift.",
      "language": "Swift",
      "license": "MIT",
      "stars": 5,
      "forks": 0,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-15",
      "intents": [
        "route requests through a gateway or proxy",
        "review code or pull requests",
        "control a phone or mobile app"
      ]
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      "id": "legacybridge-tech--pi-typesafe-jev",
      "name": "legacybridge-tech/pi-typesafe-jev",
      "url": "https://github.com/legacybridge-tech/pi-typesafe-jev",
      "kind": "repo",
      "category": "coding-agents",
      "rule": "104",
      "description": "Pi extension exposing Jev judgments as five Pi tools.",
      "descriptionZh": "将 Jev 判断作为五个 Pi tools 暴露的 Pi extension。",
      "descriptionFr": "Extension Pi exposant les jugements Jev sous forme de cinq outils Pi.",
      "language": "TypeScript",
      "license": "NOASSERTION",
      "stars": 4,
      "forks": 0,
      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-17",
      "intents": [
        "judge or verify an agent's output",
        "score or rank candidates in a pipeline",
        "classify support tickets or messages"
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      "name": "BYK/jev-mcp",
      "url": "https://github.com/BYK/jev-mcp",
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      "category": "coding-agents",
      "rule": "104",
      "description": "Eval-first MCP server: prototype a question, map it over many items, then measure variants against labeled examples with a threshold sweep.",
      "descriptionZh": "Eval 优先的 MCP 服务器：先设计问题原型，将其映射到多个条目，再通过阈值扫描对照标注样本评估不同变体。",
      "descriptionFr": "Serveur MCP axé sur l'évaluation : prototyper une question, l'appliquer à de nombreux éléments, puis mesurer les variantes contre des exemples étiquetés avec un balayage de seuil.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 4,
      "forks": 0,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-18",
      "intents": [
        "benchmark or calibrate Jev",
        "judge or verify an agent's output",
        "classify support tickets or messages"
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      "id": "ramneet-singh--jevopt",
      "name": "Ramneet-Singh/jevopt",
      "url": "https://github.com/Ramneet-Singh/jevopt",
      "kind": "repo",
      "category": "code-review",
      "rule": "147",
      "description": "C/C++ compiler driver that asks Jev whether to inline each discretionary call site, from the LLVM IR and the original source.",
      "descriptionZh": "C/C++ 编译器驱动，根据 LLVM IR 和原始源码让 Jev 判断每个可选调用点是否内联。",
      "descriptionFr": "Pilote de compilateur C/C++ qui demande à Jev s'il faut inliner chaque site d'appel discrétionnaire, à partir de l'IR LLVM et du source d'origine.",
      "language": "Python",
      "license": "GPL-3.0",
      "stars": 4,
      "forks": 1,
      "topics": [],
      "official": false,
      "archived": false,
      "pushedAt": "2026-09-21",
      "intents": [
        "benchmark or calibrate Jev",
        "compare Jev with an LLM",
        "judge or verify an agent's output"
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      "id": "iamvatsalpatel--tiershift",
      "name": "iamvatsalpatel/tiershift",
      "url": "https://github.com/iamvatsalpatel/tiershift",
      "kind": "repo",
      "category": "routing",
      "rule": "118",
      "description": "Shifts every LLM call to the cheapest model that can handle it, policy in YAML, decision in about 180 ms.",
      "descriptionZh": "将每个 LLM 调用转移到能处理它的最便宜模型，策略用 YAML 配置，决策耗时约 180 ms。",
      "descriptionFr": "Bascule chaque appel LLM vers le modèle le moins cher capable de le traiter, politique en YAML, décision en environ 180 ms.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 4,
      "forks": 1,
      "topics": [
        "agents",
        "cost-optimization",
        "jev",
        "llm",
        "model-routing",
        "typesafe"
      ],
      "official": false,
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      "pushedAt": "2026-09-28",
      "intents": [
        "route between models by task difficulty",
        "route requests through a gateway or proxy",
        "monitor or observe Jev usage and cost"
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      "id": "mgaitan--sqlite-jev",
      "name": "mgaitan/sqlite-jev",
      "url": "https://github.com/mgaitan/sqlite-jev",
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      "category": "data-ops",
      "rule": "185",
      "description": "Adds Jev Noul, Choice, and Score judgments to SQLite through a loadable C extension and Python wrapper, with scalar functions and batched virtual-table queries.",
      "descriptionZh": "通过可加载的 C 扩展和 Python 封装器为 SQLite 添加 Jev Noul、Choice 和 Score 判断，支持标量函数和批量虚拟表查询。",
      "descriptionFr": "Ajoute les jugements Jev Noul, Choice et Score à SQLite via une extension C chargeable et un wrapper Python, avec fonctions scalaires et requêtes groupées sur tables virtuelles.",
      "language": "C",
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      "stars": 4,
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      "official": false,
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      "pushedAt": "2026-09-18",
      "intents": [
        "run Jev inside a database or SQL",
        "label data or build a dataset",
        "classify support tickets or messages"
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    {
      "id": "caiovicentino--jev-shield",
      "name": "caiovicentino/jev-shield",
      "url": "https://github.com/caiovicentino/jev-shield",
      "kind": "repo",
      "category": "safety",
      "rule": "179",
      "description": "Semantic MCP firewall that screens every tool call, result, and description; reports 94 percent block recall at about $0.00002 a check.",
      "descriptionZh": "筛查每次工具调用、结果和描述的语义 MCP 防火墙；拦截召回率为 94%，每次检查费用约 $0.00002。",
      "descriptionFr": "Pare-feu MCP sémantique qui filtre chaque appel d'outil, résultat et description ; annonce 94 % de rappel de blocage à environ 0,00002 $ par contrôle.",
      "language": "JavaScript",
      "license": "MIT",
      "stars": 4,
      "forks": 0,
      "topics": [
        "ai-safety",
        "mcp",
        "prompt-injection",
        "security",
        "vercel-ai-gateway"
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      "official": false,
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      "intents": [
        "gate or approve tool calls before they run",
        "detect prompt injection or risky commands",
        "route requests through a gateway or proxy"
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      "url": "https://github.com/noelzappy/tripwire",
      "kind": "repo",
      "category": "safety",
      "rule": "179",
      "description": "AI SDK middleware and proxy that runs seven Jev checks on every LLM response before the user sees it; no accuracy numbers yet, and it says so.",
      "descriptionZh": "在用户看到每个 LLM 响应之前运行七项 Jev 检查的 AI SDK 中间件和代理；暂无准确率数据，并已如实说明。",
      "descriptionFr": "Middleware et proxy pour AI SDK qui exécute sept contrôles Jev sur chaque réponse LLM avant qu'elle ne parvienne à l'utilisateur ; aucun chiffre de précision pour l'instant, et il l'indique clairement.",
      "language": "TypeScript",
      "license": "MIT",
      "stars": 4,
      "forks": 0,
      "topics": [
        "ai-sdk",
        "guardrails",
        "llm",
        "pii",
        "prompt-injection"
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      "official": false,
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      "intents": [
        "route requests through a gateway or proxy",
        "detect prompt injection or risky commands",
        "moderate content or detect abuse"
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      "url": "https://github.com/hellogumbo/should-ai-kill-us-all",
      "kind": "repo",
      "category": "apps",
      "rule": "191",
      "description": "Asks Jev the question every ten minutes, using the actual headlines.",
      "descriptionZh": "每十分钟使用真实头条新闻向 Jev 提出该问题。",
      "descriptionFr": "Pose la question à Jev toutes les dix minutes en s'appuyant sur les titres d'actualité réels.",
      "language": "JavaScript",
      "license": "CC0-1.0",
      "stars": 4,
      "forks": 1,
      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-18",
      "intents": [
        "benchmark or calibrate Jev",
        "compare Jev with an LLM",
        "call Jev from the command line"
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      "id": "vishxrad--clashroyale-jev",
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      "url": "https://github.com/vishxrad/clashroyale-jev",
      "kind": "repo",
      "category": "games",
      "rule": "236",
      "description": "Plays Clash Royale with Jev choosing cards and placements from Qwen battlefield vision and local OpenCV hand and elixir recognition.",
      "descriptionZh": "用 Jev 根据 Qwen 战场视觉和本地 OpenCV 手牌与圣水识别选择卡牌和放置位置来玩 Clash Royale。",
      "descriptionFr": "Joue à Clash Royale avec Jev qui choisit les cartes et les placements à partir de la vision du champ de bataille Qwen et de la reconnaissance locale de la main et de l'élixir par OpenCV.",
      "language": "Python",
      "license": null,
      "stars": 4,
      "forks": 1,
      "topics": [],
      "official": false,
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      "pushedAt": "2026-09-22",
      "intents": [
        "control a phone or mobile app",
        "benchmark or calibrate Jev",
        "learn how Jev works"
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      "id": "gaurav-gosain--jev-sec-bench",
      "name": "Gaurav-Gosain/jev-sec-bench",
      "url": "https://github.com/Gaurav-Gosain/jev-sec-bench",
      "kind": "repo",
      "category": "benchmarks",
      "rule": "223",
      "description": "Blind benchmarks for prompt injection and vulnerable-code detection.",
      "descriptionZh": "针对提示注入和易受攻击代码检测的盲测基准。",
      "descriptionFr": "Benchmarks aveugles pour l'injection de prompts et la détection de code vulnérable.",
      "language": "Go",
      "license": "MIT",
      "stars": 4,
      "forks": 0,
      "topics": [],
      "official": false,
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      "intents": [
        "benchmark or calibrate Jev",
        "judge or verify an agent's output",
        "moderate content or detect abuse"
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      "id": "tokentrim--jev-agent-failure-benchmark",
      "name": "TokenTrim/jev-agent-failure-benchmark",
      "url": "https://github.com/TokenTrim/jev-agent-failure-benchmark",
      "kind": "repo",
      "category": "benchmarks",
      "rule": "223",
      "description": "Jev against a strong LLM on the Who and When agent-failure-attribution benchmark.",
      "descriptionZh": "在 Who and When 智能体失败归因基准上对比 Jev 与强 LLM 的表现。",
      "descriptionFr": "Jev face à un LLM puissant sur le benchmark d'attribution des échecs d'agents Who and When.",
      "language": "Python",
      "license": "Apache-2.0",
      "stars": 4,
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      "official": false,
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      "intents": [
        "benchmark or calibrate Jev",
        "compare Jev with an LLM",
        "judge or verify an agent's output"
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      "category": "benchmarks",
      "rule": "223",
      "description": "Controlled prompt experiments on jev-1.13.0, raw results and offline verification.",
      "descriptionZh": "在 jev-1.13.0 上进行的受控提示实验，包含原始结果和离线验证。",
      "descriptionFr": "Expériences contrôlées de prompts sur jev-1.13.0, résultats bruts et vérification hors ligne.",
      "language": "Python",
      "license": "MIT",
      "stars": 4,
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      "intents": [
        "benchmark or calibrate Jev",
        "judge or verify an agent's output",
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      "url": "https://github.com/chenmingtang830/jevarena",
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      "category": "benchmarks",
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      "descriptionZh": "供应商自有的关于 Jev 适用与不适用场景的目录。",
      "descriptionFr": "Le catalogue du fournisseur indiquant où Jev convient et où il ne convient pas.",
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      "descriptionZh": "可复现配方：并行提问、重排、护栏、引用校验、抽取、层次化分类",
      "descriptionFr": "Recettes pratiques, en commençant par le regroupement de plusieurs questions en une seule requête ; la barre latérale contient les autres.",
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      "descriptionZh": "该厂商在四个工作流上的基准测试，相关注意事项已列在页面上。",
      "descriptionFr": "Le benchmark du fournisseur sur quatre workflows, avec les réserves indiquées sur la page.",
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      "stars": null,
      "forks": null,
      "topics": [],
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      "intents": []
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      "url": "https://docs.typesafe.ai/llms.txt",
      "kind": "resource",
      "category": "start-here",
      "rule": "001",
      "description": "Every documentation page as plain Markdown, for feeding to an agent.",
      "descriptionZh": "所有文档页面均为纯 Markdown 格式，可喂给智能体使用。",
      "descriptionFr": "Chaque page de documentation en Markdown brut, à fournir à un agent.",
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      "stars": null,
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      "id": "console",
      "name": "Console",
      "url": "https://console.typesafe.ai/",
      "kind": "resource",
      "category": "start-here",
      "rule": "001",
      "description": "Waitlist, API keys, and usage.",
      "descriptionZh": "等候名单、API keys 和用量。",
      "descriptionFr": "Liste d'attente, clés API et utilisation.",
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      "license": null,
      "stars": null,
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      "topics": [],
      "official": true,
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    {
      "id": "agent-skill",
      "name": "Agent skill",
      "url": "https://docs.typesafe.ai/agent-skill",
      "kind": "resource",
      "category": "official",
      "rule": "011",
      "description": "How to install the official skill in Claude Code, Cursor, and friends.",
      "descriptionZh": "如何在 Claude Code、Cursor 等工具中安装官方 skill。",
      "descriptionFr": "Comment installer le skill officiel dans Claude Code, Cursor et les outils associés.",
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      "forks": null,
      "topics": [],
      "official": true,
      "archived": false,
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      "intents": [
        "drive a browser or GUI with an agent",
        "call Jev from a language SDK",
        "pick which skill or prompt to load"
      ]
    }
  ]
}