diff --git a/README.ja.md b/README.ja.md
index 11e369e..59360b1 100644
--- a/README.ja.md
+++ b/README.ja.md
@@ -40,19 +40,20 @@
 </table>
 </div>
 
+<a id="categories"></a>
 <h2 align="center">カテゴリから探す</h2>
 
 <p align="center">
-  <strong>ブラウザ・PC 操作 · 14</strong> ·
-  <strong>SDK・フレームワーク · 23</strong> ·
-  <strong>ルーティング · 14</strong> ·
-  <strong>オープンモデル · 17</strong> ·
-  <strong>検索・データ · 9</strong><br>
-  <strong>安全性・レビュー · 12</strong> ·
-  <strong>Agent ワークフロー · 11</strong> ·
-  <strong>UI・自動化 · 8</strong> ·
-  <strong>開発者ツール · 27</strong> ·
-  <strong>業務特化ツール · 12</strong>
+  <a href="#browser-computer-use"><strong>ブラウザ・PC 操作 · 14</strong></a> ·
+  <a href="#sdk-integrations"><strong>SDK・フレームワーク · 23</strong></a> ·
+  <a href="#routing-optimization"><strong>ルーティング · 14</strong></a> ·
+  <a href="#open-models"><strong>オープンモデル · 17</strong></a> ·
+  <a href="#search-data"><strong>検索・データ · 9</strong></a><br>
+  <a href="#safety-review"><strong>安全性・レビュー · 12</strong></a> ·
+  <a href="#agent-workflows"><strong>Agent ワークフロー · 11</strong></a> ·
+  <a href="#interfaces"><strong>UI・自動化 · 8</strong></a> ·
+  <a href="#developer-tools"><strong>開発者ツール · 27</strong></a> ·
+  <a href="#domain-tools"><strong>業務特化ツール · 12</strong></a>
 </p>
 
 ## 注目プロジェクト
@@ -75,153 +76,212 @@
 <a id="all-projects"></a>
 ## 全 147 プロジェクト
 
-- [LangChain · TypeSafe](https://github.com/langchain-ai/langchain) · 146,779 Star
-- [AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund) · 63,642 Star
-- [LiteLLM · JEV Router](https://github.com/BerriAI/litellm) · 59,305 Star
-- [Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi) · 32,236 Star
-- [Jev Model Router](https://github.com/davila7/claude-code-templates) · 30,870 Star
-- [Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio) · 30,268 Star
-- [Vercel AI SDK · TypeSafe](https://github.com/vercel/ai) · 26,870 Star
-- [Cua · JEV Use](https://github.com/trycua/cua) · 25,422 Star
-- [Openwork](https://github.com/different-ai/openwork) · 23,682 Star
-- [Pydantic AI · TypeSafe](https://github.com/pydantic/pydantic-ai) · 20,084 Star
-- [Eliza · TypeSafe Client](https://github.com/elizaOS/eliza) · 19,404 Star
-- [LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs) · 18,215 Star
-- [json-render · JEV Compose](https://github.com/vercel-labs/json-render) · 17,731 Star
-- [Jev Ultrafast](https://github.com/browser-use/jev-ultrafast) · 13,811 Star
-- [QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger) · 11,883 Star
-- [OpenChamber · JEV Router](https://github.com/openchamber/openchamber) · 10,213 Star
-- [Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig) · 8,691 Star
-- [Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate) · 6,889 Star
-- [Laya](https://github.com/NandhaKishorM/laya) · 6,688 Star
-- [Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction) · 5,719 Star
-- [Eve](https://github.com/vercel/eve) · 5,291 Star
-- [Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway) · 4,953 Star
-- [Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm) · 4,665 Star
-- [Ax · TypeSafe Client](https://github.com/ax-llm/ax) · 2,934 Star
-- [SemIf](https://github.com/TheoLeeCJ/SemIf) · 2,749 Star
-- [JEV Trader](https://github.com/jarrodwatts/jev-trader) · 1,672 Star
-- [NanoJev](https://github.com/TianyuCodings/NanoJev) · 1,672 Star
-- [Kev 0.5B](https://github.com/jaredpalmer/kev) · 1,530 Star
-- [TypeSafe Skills](https://github.com/typesafe-ai/skills) · 1,388 Star
-- [Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop) · 1,378 Star
-- [Nimble](https://github.com/bespokelabsai/nimble) · 1,357 Star
-- [Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant) · 1,293 Star
-- [NewsJack](https://github.com/elvisun/newsjack) · 1,271 Star
-- [Jevlike](https://github.com/vinnylarouge/jevlike) · 1,132 Star
-- [Celesto](https://github.com/CelestoAI/celesto) · 946 Star
-- [Atomic](https://github.com/bastani-inc/atomic) · 809 Star
-- [AI CLI](https://github.com/vercel-labs/ai-cli) · 808 Star
-- [Awesome JEV (yibie)](https://github.com/yibie/awesome-jev) · 805 Star
-- [Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe) · 742 Star
-- [TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use) · 693 Star
-- [Aiavatarkit](https://github.com/uezo/aiavatarkit) · 678 Star
-- [Kody](https://github.com/kentcdodds/kody) · 659 Star
-- [LocalJev](https://github.com/githubnext/localjev) · 657 Star
-- [TipTour macOS](https://github.com/milind-soni/tiptour-macos) · 627 Star
-- [Agent](https://github.com/AgentiLoop/Agent) · 618 Star
-- [Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools) · 599 Star
-- [Req LLM](https://github.com/agentjido/req_llm) · 580 Star
-- [Omg.dev](https://github.com/BennyKok/omg.dev) · 533 Star
-- [Jev CU](https://github.com/Sac-Y/Jev-cu) · 519 Star
-- [Splash](https://github.com/incoai/splash) · 506 Star
-- [Foreman](https://github.com/thruwire/foreman) · 446 Star
-- [Jev Review](https://github.com/devagrawal09/jev-review) · 438 Star
-- [Simple JEV](https://github.com/featherless-ai/simple-jev) · 428 Star
-- [Vexjoy Agent](https://github.com/notque/vexjoy-agent) · 421 Star
-- [Smithers](https://github.com/smithersai/smithers) · 418 Star
-- [Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe) · 414 Star
-- [Classifier.dev](https://github.com/mrmps/classifier-dev) · 396 Star
-- [Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent) · 395 Star
-- [Jev Experiments](https://github.com/dabit3/jev-experiments) · 352 Star
-- [JEV Search](https://github.com/superagents-lab/jev-search) · 352 Star
-- [Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills) · 335 Star
-- [WrongStack](https://github.com/WrongStack/WrongStack) · 329 Star
-- [Instructor Php](https://github.com/cognesy/instructor-php) · 327 Star
-- [Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier) · 314 Star
-- [TypeSafe Mario](https://github.com/fhshaik/typesafe-mario) · 314 Star
-- [Mobile JEV](https://github.com/droidrun/mobile-jev) · 304 Star
-- [Von](https://github.com/wfzyx/von) · 297 Star
-- [Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev) · 292 Star
-- [JEV Browser Use](https://github.com/wy-coliney/jev-browser-use) · 291 Star
-- [JEV Router](https://github.com/gargpratyush/jev-router) · 283 Star
-- [Orchestkit](https://github.com/yonatangross/orchestkit) · 280 Star
-- [Third Hand](https://github.com/shhivv/third-hand) · 270 Star
-- [Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects) · 264 Star
-- [Pg JEV](https://github.com/realZachi/pg-jev) · 259 Star
-- [jev-align](https://github.com/sutro-sh/jev-align) · 253 Star
-- [Openai Scala Client](https://github.com/cequence-io/openai-scala-client) · 248 Star
-- [Openjev](https://github.com/razorback16/openjev) · 245 Star
-- [OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang) · 245 Star
-- [Pi Fabric](https://github.com/monotykamary/pi-fabric) · 241 Star
-- [OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0) · 221 Star
-- [Skillbox](https://github.com/kitze/skillbox) · 220 Star
-- [System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python) · 218 Star
-- [JEV Browser](https://github.com/jkudish/jev-browser) · 209 Star
-- [Abide](https://github.com/coldteadotai/abide) · 199 Star
-- [Notra](https://github.com/usenotra/notra) · 199 Star
-- [JEV MCP](https://github.com/jkudish/jev-mcp) · 196 Star
-- [TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js) · 196 Star
-- [JEV Visual](https://github.com/hr98w/jev-visual) · 192 Star
-- [JEV Review](https://github.com/NiazMorshed2007/jev-review) · 191 Star
-- [JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser) · 187 Star
-- [OpenWhisper](https://github.com/Knuckles92/OpenWhisper) · 187 Star
-- [Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev) · 185 Star
-- [Jeff](https://github.com/logan-markewich/jeff) · 183 Star
-- [Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev) · 181 Star
-- [Decider](https://github.com/Mapika/decider) · 180 Star
-- [Interlinked CLI](https://github.com/QuentinCody/interlinked-cli) · 178 Star
-- [TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp) · 173 Star
-- [TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python) · 171 Star
-- [Perch](https://github.com/lakeday-org/perch) · 167 Star
-- [Runline](https://github.com/Michaelliv/runline) · 162 Star
-- [Compact Adviser](https://github.com/kunchenguid/compact-adviser) · 157 Star
-- [djev-spark](https://github.com/mmastrac/djev-spark) · 152 Star
-- [Unclutter](https://github.com/kitze/unclutter) · 152 Star
-- [Jevpilot](https://github.com/standardagents/jevpilot) · 143 Star
-- [AI](https://github.com/hackclub/ai) · 133 Star
-- [Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery) · 131 Star
-- [Pi JEV](https://github.com/y0usaf/pi-jev) · 131 Star
-- [JEV Pruner](https://github.com/tamaratran/jev-pruner) · 130 Star
-- [Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill) · 128 Star
-- [JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router) · 125 Star
-- [JevRouter](https://github.com/BillionsBobby/JevRouter) · 125 Star
-- [jev-semgrep](https://github.com/uehaj/jev-semgrep) · 122 Star
-- [Effect Agent](https://github.com/danieljvdm/effect-agent) · 121 Star
-- [Pi Warden](https://github.com/DevMortimer/pi-warden) · 118 Star
-- [Taskuary](https://github.com/ldbumble/taskuary) · 116 Star
-- [Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe) · 115 Star
-- [Awesome Jev](https://github.com/hellogumbo/awesome-jev) · 109 Star
-- [Skillranker](https://github.com/Dicklesworthstone/skillranker) · 107 Star
-- [Stanley Code](https://github.com/devagrawal09/stanley-code) · 106 Star
-- [JEV Eval Agent](https://github.com/vinilana/jev-eval-agent) · 99 Star
-- [Formanator](https://github.com/timrogers/formanator) · 98 Star
-- [JEV Drone](https://github.com/RomanSlack/jev-drone) · 96 Star
-- [Reflex](https://github.com/kshetrajna12/reflex) · 91 Star
-- [Bluenoise](https://github.com/rokcso/bluenoise) · 90 Star
-- [Dasheng](https://github.com/wquguru/dasheng) · 90 Star
-- [Advocaat](https://github.com/pithings/advocaat) · 88 Star
-- [Supercov](https://github.com/supercorp-ai/supercov) · 85 Star
-- [Open JEV](https://github.com/daseinlabs/open-jev) · 82 Star
-- [Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe) · 81 Star
-- [Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection) · 81 Star
-- [JEV Shell History](https://github.com/mrnugget/jev-shell-history) · 80 Star
-- [JEV Use](https://github.com/savka777/jev-use) · 79 Star
-- [jev-gateway](https://github.com/vinilana/jev-gateway) · 79 Star
-- [Jevmeter](https://github.com/ChetasLua/jevmeter) · 77 Star
-- [Captaincore](https://github.com/CaptainCore/captaincore) · 71 Star
-- [JEV Chat](https://github.com/w3cj/jev-chat) · 71 Star
-- [Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev) · 68 Star
-- [JEV Trade](https://github.com/aowang-ai/jev-trade) · 68 Star
-- [Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev) · 66 Star
-- [TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock) · 64 Star
-- [JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser) · 62 Star
-- [Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean) · 62 Star
-- [Agent Router](https://github.com/nidhi-singh02/agent-router) · 58 Star
-- [jegrep](https://github.com/can1357/jegrep) · 57 Star
-- [Neo4JEV](https://github.com/jexp/neo4jev) · 57 Star
-- [Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent) · 54 Star
-- [Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev) · 52 Star
+<a id="browser-computer-use"></a>
+### ブラウザ・PC 操作 (14)
+
+- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.4K Star — Cua Driver の観察と実行を、制限された JEV の選択肢と組み合わせたコンピューター使用例。 [根拠](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11)
+- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 13.8K Star — JEV を使用してアクションと一致する DOM 要素を選択し、入力テキストが必要な場合にのみテキスト モデルを呼び出すブラウザ エージェント。 [根拠](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py)
+- **[Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop)** · 1.4K Star — アクセシビリティ データからネイティブ デスクトップ コントロールとアクションを選択するオプションの JEV スキル。 [根拠](https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs)
+- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 693 Star — JEV の OCR および UI 状態から候補アクションを構築して macOS を制御し、書き込みが必要な場合にのみテキスト モデルを呼び出します。 [根拠](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py)
+- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 533 Star — omg.dev モバイル テスト スクリプトは、JEV を使用してアクセシビリティ ツリーを読み取り、次のインタラクションを選択できます。 [根拠](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts)
+- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 519 Star — 次の UI 操作を JEV に決めさせる Computer Use 補助ツール。 [根拠](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs)
+- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 304 Star — Web スタジオと CLI で JEV の決定を表示し、Mobilerun を通じて Android スマートフォンを制御します。 [根拠](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224)
+- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 291 Star — Codex ブラウザ ワークフローのスキル: JEV はナビゲーション、クリック、スクロールを選択し、Codex はテキスト入力と最終チェックを処理します。 [根拠](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs)
+- **[Third Hand](https://github.com/shhivv/third-hand)** · 270 Star — ローカル Computer Use 補助を動かしつつ JEV を呼ぶ Swift クライアント。 [根拠](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift)
+- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 209 Star — タスクと URL からブラウザを起動し、最終ページ、スクリーンショット、アクション トレースを返します。 [根拠](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1)
+- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 187 Star — 増分音声トランスクリプトを JEV に送信することで、Playwright ブラウザを制御します。 [根拠](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123)
+- **[JEV Use](https://github.com/savka777/jev-use)** · 79 Star — 視覚モデルなしで Accessibility 要素を操作する macOS Computer Use ツール。 [根拠](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md)
+- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 64 Star — 候補となる DOM 要素が広告であるかどうかを JEV に尋ね、それらをハイライト表示または削除する実験的な Chrome 拡張機能。 [根拠](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js)
+- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 62 Star — LLM の計画と JEV の操作を組み合わせるブラウザー自動化ライブラリ、CLI、MCP サーバー。 [根拠](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="sdk-integrations"></a>
+### SDK・フレームワーク (23)
+
+- **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · 146.8K Star — Python LangChain ワークフロー用のオプションの JEV 分類子統合。 [根拠](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py)
+- **[Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio)** · 30.3K Star — JEV を使ってツールと許可済みの引数候補を選ぶ TypeSafe プロバイダー。 [根拠](https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts)
+- **[Vercel AI SDK · TypeSafe](https://github.com/vercel/ai)** · 26.9K Star — 共通の評価インターフェイスから JEV を利用できる、AI SDK 向け TypeSafe プロバイダー。 [根拠](https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts)
+- **[Pydantic AI · TypeSafe](https://github.com/pydantic/pydantic-ai)** · 20.1K Star — サポートされている構造化出力を JEV 質問にマッピングする TypeSafe モデル統合。 [根拠](https://github.com/pydantic/pydantic-ai/blob/c4898abb54dc25ae6f6aef208a4c0661b30a455e/pydantic_ai_slim/pydantic_ai/models/typesafe.py)
+- **[Eliza · TypeSafe Client](https://github.com/elizaOS/eliza)** · 19.4K Star — Eliza エージェント オペレーティング システムのオプションの TypeSafe HTTP アダプター。 [根拠](https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts)
+- **[LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs)** · 18.2K Star — JavaScript の LangChain ワークフロー向け TypeSafeClassifier 連携。 [根拠](https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts)
+- **[Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig)** · 8.7K Star — JEV の質問と回答を Rust タイプで表現するための実験的な Rust クレート。 [根拠](https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40)
+- **[Ax · TypeSafe Client](https://github.com/ax-llm/ax)** · 2.9K Star — ブール型、有限クラス、およびネイティブ JEV 署名の TypeSafe 統合。 [根拠](https://github.com/ax-llm/ax/blob/5c43344f9ef3016db576fa2c3b59d48ef21b4d71/src/ax/ai/typesafe/client.ts#L1)
+- **[Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant)** · 1.3K Star — 会話状態と明示的な質問を送信するオプションの JEV プロバイダー。 [根拠](https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts)
+- **[Req LLM](https://github.com/agentjido/req_llm)** · 580 Star — Elixir の ReqLLM 評価インターフェイスから JEV を呼び出す TypeSafe プロバイダー。 [根拠](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md)
+- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 428 Star — 専用の分類ヘッドを学習せずに、公開 LLM エンドポイントを JEV 互換の分類サービスへ変換するアダプター。 [根拠](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85)
+- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 396 Star — JEV を主要な型付き判断バックエンドに使うゼロショット分類サービス。 [根拠](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts)
+- **[Instructor Php](https://github.com/cognesy/instructor-php)** · 327 Star — Instructor PHP の Polyglot モジュール内の TypeSafe Decision ドライバー。 [根拠](https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md)
+- **[Openai Scala Client](https://github.com/cequence-io/openai-scala-client)** · 248 Star — 複数の AI プロバイダーをサポートする Scala クライアントの専用 TypeSafe モジュール。 [根拠](https://github.com/cequence-io/openai-scala-client/blob/cfabe8842344da713615d0121a7804840649eb46/README.md)
+- **[Openjev](https://github.com/razorback16/openjev)** · 245 Star — JEV API と互換性のある独立型 System One 意思決定サーバーで、オープンな DiffusionGemma モデルを実行します。 [根拠](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py)
+- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 241 Star — Pi のプログラム可能なランタイムには、状態の監視、意思決定、制限されたアクションの実行のためのオプションの JEV ループが含まれています。 [根拠](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md)
+- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 218 Star — 通常の LLM API で System One 呼び出しを受ける、TypeSafeClient 差し替えアダプタ。 [根拠](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py)
+- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 196 Star — TypeSafe によって公開された JavaScript および TypeScript SDK (型指定された JEV リクエストと回答を含む)。 [根拠](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md)
+- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 171 Star — JEV System One の同期および非同期クライアントを備えた公式 TypeSafe Python SDK、および質問と回答のタイプ。 [根拠](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221)
+- **[Runline](https://github.com/Michaelliv/runline)** · 162 Star — Runline Agent JavaScript で呼び出し可能なアクションとして JEV 決定を公開する TypeSafe プラグイン。 [根拠](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md)
+- **[AI](https://github.com/hackclub/ai)** · 133 Star — Hack Club AI プロキシの JEV 転送エンドポイント。認証、制限、使用状況ログを使用します。 [根拠](https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md)
+- **[Effect Agent](https://github.com/danieljvdm/effect-agent)** · 121 Star — 型付き質問セットと任意のモデル選択に対応する、Effect Agent 向け TypeSafe 意思決定プロバイダー。 [根拠](https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md)
+- **[Advocaat](https://github.com/pithings/advocaat)** · 88 Star — 同じデータについて複数の型付き質問を JEV に送るための、小さな TypeScript クライアント。 [根拠](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="routing-optimization"></a>
+### ルーティング (14)
+
+- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.3K Star — LiteLLM は、複雑さベースのモデル ルーター内で JEV を使用できます。 [根拠](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70)
+- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.2K Star — 境界の明確なワークフロー判断に、任意の TypeSafe 意思決定プロバイダーを使えるコーディング Agent。 [根拠](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4)
+- **[OpenChamber · JEV Router](https://github.com/openchamber/openchamber)** · 10.2K Star — モデルを選択する前にメッセージを分類するオプションの自動モデル ルーター。 [根拠](https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js)
+- **[Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate)** · 6.9K Star — JEV を使用してタスクの概要をルールに一致させることができるエージェント クルー ディスパッチャー。 [根拠](https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh)
+- **[Atomic](https://github.com/bastani-inc/atomic)** · 809 Star — ルーティングなど、範囲を限定した構造化選択に使える Atomic コーディング Agent の任意 JEV バックエンド。 [根拠](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts)
+- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 421 Star — VexJoy リクエストを専門エージェント、スキル、ワークフローに照合するオプションの JEV ルーティング パス。 [根拠](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md)
+- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 335 Star — Hermes エージェント向けに、JEV 駆動のルーティング・記憶・圧縮・Skill 選択・PC/ブラウザ操作。 [根拠](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py)
+- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 329 Star — WrongStack の専門 Agent から担当を選ぶための、任意で使える JEV ディスパッチ分類器。 [根拠](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md)
+- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 283 Star — Claude Code および CLI プロキシ。JEV にタスクの複雑さをスコアリングし、アカウントの利用可能なセットからモデルを選択するよう依頼します。 [根拠](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63)
+- **[Skillbox](https://github.com/kitze/skillbox)** · 220 Star — オプションの JEV 推奨事項を備えた自己ホスト型のバージョン管理されたエージェント スキル ライブラリ。 [根拠](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md)
+- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 125 Star — JEV で Codex の各ターンを分類し、ローカルルールに従ってモデル、推論強度、速度モードを選びます。 [根拠](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py)
+- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 125 Star — モデル、ツール、サブ Agent 向けの軽量 JEV ルーター。 [根拠](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts)
+- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 68 Star — 使用量ゲートと Skill テンプレートを備えた Grok Bot 向け JEV 判断レイヤー。 [根拠](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md)
+- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 58 Star — JEV でタスクをコーディング Agent、モデル、推論強度へ振り分ける CLI。 [根拠](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="open-models"></a>
+### オープンモデル (17)
+
+- **[Laya](https://github.com/NandhaKishorM/laya)** · 6.7K Star — 多言語・非自己回帰の System 1 意思決定エンジン。1 回の前向き計算で型付き choice/score/noul を出し、ルータがチェックポイントを選びます。 [根拠](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)
+- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 2.7K Star — semantic-if インターフェイス パターンの独立したオープンモデル実装。 [根拠](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md)
+- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.7K Star — 並列決定とトレーニング パイプラインを備えた JEV インターフェイスの 0.6B オープン レプリカ。 [根拠](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md)
+- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 1.5K Star — Qwen2.5-0.5B に基づく、小さなトレーニング可能な JEV のような意思決定モデル。 [根拠](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md)
+- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.4K Star — ローカルでの型付き意思決定、データキュレーション、評価に使えるオープンツールキット。 [根拠](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md)
+- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.1K Star — テキストまたはビジュアル オプションの変更リストを 1 パスでスコアリングする独立したスターター モデル。 [根拠](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md)
+- **[LocalJev](https://github.com/githubnext/localjev)** · 657 Star — 小規模なローカル モデルにわたるベンチマークを備えたローカル JEV 互換サーバー。 [根拠](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md)
+- **[Splash](https://github.com/incoai/splash)** · 506 Star — 意思決定系モデル向けの Apple Silicon ローカル推論エンジン。 [根拠](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md)
+- **[Von](https://github.com/wfzyx/von)** · 297 Star — JEV 互換インターフェースを持つローカルのオープン System One 判断モデル。 [根拠](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md)
+- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 245 Star — オープンモデル上の JEV 互換 API。prefill-only の提供経路を使います。 [根拠](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py)
+- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 221 Star — 約 151M の校正済み非自己回帰ローカル意思決定エンジン。JEV 風の型付き回答を目指す。 [根拠](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py)
+- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 192 Star — Apple Silicon 上の教育向け JEV 風ビジョン推論。共有コンテキストで候補を直接採点。 [根拠](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py)
+- **[Jeff](https://github.com/logan-markewich/jeff)** · 183 Star — GliFormer を利用したセルフホスト型の JEV 互換サービス。 [根拠](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md)
+- **[Decider](https://github.com/Mapika/decider)** · 180 Star — Qwen3.5-2B 微調整による、1 パスの型付き意思決定と校正確率。 [根拠](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py)
+- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 152 Star — DGX Spark 上で DiffusionGemma NVFP4 構造化意思決定を動かすコンテナレシピ。 [根拠](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md)
+- **[Reflex](https://github.com/kshetrajna12/reflex)** · 91 Star — Qwen 上で JEV/System One インターフェースを再現する小型オープン判断モデル。 [根拠](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md)
+- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 82 Star — カスタム微調整に対応するオープンな JEV 形式の実装。 [根拠](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="search-data"></a>
+### 検索・データ (9)
+
+- **[Kody](https://github.com/kentcdodds/kody)** · 659 Star — オプションの第 2 段階の検索: ハイブリッド プールを拡大し、Workers AI typesafe/jev を使用して候補者をスコア再ランク付けします。 [根拠](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts)
+- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 352 Star — インテント検索やエージェント支援フローを含む小規模な JEV 実験。 [根拠](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist)
+- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 352 Star — JEV を使用して Web を検索し、ソースと時間範囲を選択し、返されたリンクをランク付けします。 [根拠](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48)
+- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 314 Star — 抽出された税務書類のページを固定 IRS フォーム カタログに基づいて分類します。 [根拠](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts)
+- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 259 Star — PostgreSQL クエリに行の自然言語フィルタリング、分類、ランク付けを追加します。 [根拠](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql)
+- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 122 Star — 多言語の AND、OR、NOT、確率しきい値を使用した意味ベースの grep。 [根拠](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md)
+- **[Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe)** · 81 Star — 分類、はい/いいえの判断、スコアリングのために SQL から JEV を呼び出すためのプレアルファ版の PostgreSQL C 拡張機能。 [根拠](https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c)
+- **[jegrep](https://github.com/can1357/jegrep)** · 57 Star — ライブ コード ツリーのセマンティック grep: 必要なものを記述し、インデックスを作成せずにファイルと元の行範囲を取得します。 [根拠](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs)
+- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 57 Star — JEV で次のリレーションを分類する Neo4j グラフナビゲーター。 [根拠](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="safety-review"></a>
+### 安全性・レビュー (12)
+
+- **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 5.0K Star — モデルのリクエストとレスポンスを検査するための JEV Webhook ガードレールの例。 [根拠](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts)
+- **[Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm)** · 4.7K Star — 実行する会話チェックを選ぶための、任意で使える JEV 事前分類器。 [根拠](https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1)
+- **[Agent](https://github.com/AgentiLoop/Agent)** · 618 Star — TypeSafeKit クライアントを使用した、ネイティブ macOS エージェント内のオプションの JEV コマンド リスク アドバイザ。 [根拠](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md)
+- **[jev-align](https://github.com/sutro-sh/jev-align)** · 253 Star — GEPA を使用して人間の例から JEV 分類器を調整するための CLI。 [根拠](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md)
+- **[Abide](https://github.com/coldteadotai/abide)** · 199 Star — 通常のリンターでは表現できない制約を扱う、コーディング Agent 向けルール層。 [根拠](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md)
+- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 178 Star — Interlinked は、任意の JEV 判断と根拠チェックをローカルのコーディング Agent 検査に追加します。 [根拠](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14)
+- **[Unclutter](https://github.com/kitze/unclutter)** · 152 Star — JEV を使用して広告、プロモーション、購読ポップアップを識別し、再利用可能な非表示ルールを保存するブラウザ拡張機能。 [根拠](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts)
+- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 131 Star — 実行前にツールのリスクにフラグを立て、出力のシークレットと障害タイプをチェックする Pi 拡張機能。 [根拠](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md)
+- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 118 Star — プロジェクト ルール、範囲外のアクション、繰り返される失敗、完了要求のチェックを Pi エージェントに追加します。 [根拠](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts)
+- **[Supercov](https://github.com/supercorp-ai/supercov)** · 85 Star — JEV で限定的な品質チェックを行うコード品質・カバレッジツール。 [根拠](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs)
+- **[Captaincore](https://github.com/CaptainCore/captaincore)** · 71 Star — WordPress ツールキットCaptainCore の JEV コマンドは、構造化された質問に答え、マルウェア スキャナーの検出結果に優先順位を付けてレビューします。 [根拠](https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go)
+- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 52 Star — JEV で意味的な lint ルールを評価する Oxlint プラグイン。 [根拠](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="agent-workflows"></a>
+### Agent ワークフロー (11)
+
+- **[Jev Model Router](https://github.com/davila7/claude-code-templates)** · 30.9K Star — サブエージェント モデルと推論強度の必要性を分類する Claude Code mod。 [根拠](https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts)
+- **[Openwork](https://github.com/different-ai/openwork)** · 23.7K Star — CI と Skill ワークフローで JEV レビューを実行できる、オープンソースの cowork 風エージェント作業空間。 [根拠](https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs)
+- **[Eve](https://github.com/vercel/eve)** · 5.3K Star — Skill・評価・ツール付きワークフローをまとめる Vercel のオープンなエージェント枠組み。 [根拠](https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md)
+- **[NewsJack](https://github.com/elvisun/newsjack)** · 1.3K Star — ライブ ニュース フィードをスクリーニングしてタイムリーなブランド チャンスを見つけるオープンソースの PR ワークフロー。 [根拠](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer)
+- **[Smithers](https://github.com/smithersai/smithers)** · 418 Star — TypeScript 設定でワークフローを定義し、JEV 分類パスを持つエージェント枠組み。 [根拠](https://github.com/smithersai/smithers/blob/394ada6a3fb815b4b62cfc7bc2242e238d42ff44/apps/server/src/jev.ts)
+- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 157 Star — いつコンテキストを圧縮してトークンを節約するかを助言するコーディング Agent Skill。 [根拠](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md)
+- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 130 Star — 長い Bash 出力をモデルに渡す前に TypeSafe JEV で刈り込む Claude Code プラグイン。 [根拠](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts)
+- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 107 Star — JEV で現在のセッション文脈に対して Agent Skills を順位付けする Rust CLI。 [根拠](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md)
+- **[Bluenoise](https://github.com/rokcso/bluenoise)** · 90 Star — デフォルトでローカル ルールを使用する X/Twitter フィルタリング拡張機能。オプションで JEV が一致しない返信をチェックします。 [根拠](https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts)
+- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 79 Star — JEV 決定を Claude Code および Codex ツール フローに挿入するためのゲートウェイ。 [根拠](https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md)
+- **[Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean)** · 62 Star — 履歴を保持・短縮・削除するか JEV に判断させる文脈クリーナー。 [根拠](https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="interfaces"></a>
+### UI・自動化 (8)
+
+- **[json-render · JEV Compose](https://github.com/vercel-labs/json-render)** · 17.7K Star — 事前定義されたコンポーネントとプロパティから選択する JEV UI 構成の実験。 [根拠](https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts)
+- **[Aiavatarkit](https://github.com/uezo/aiavatarkit)** · 678 Star — オプションの AIAvatarKit コンポーネントは、JEV を使用して音声トランスクリプトからターン終了を判断します。 [根拠](https://github.com/uezo/aiavatarkit/blob/38b617b8b9269939734e70ef503d7ea6976acdbd/aiavatar/sts/vad/turn_end_gates/jev.py#L172)
+- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 627 Star — JEV または Gemini Live によって駆動されるローカル macOS コンピューター使用コンパニオン。 [根拠](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md)
+- **[Notra](https://github.com/usenotra/notra)** · 199 Star — 作業成果を公開コンテンツに変え、Agent Skill を接続するプロダクト。 [根拠](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md)
+- **[OpenWhisper](https://github.com/Knuckles92/OpenWhisper)** · 187 Star — オプションの JEV を備えたディクテーションと会議メモのアプリは、トピックの変更、メモを取る指示、機密テキストをチェックします。 [根拠](https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md)
+- **[Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection)** · 81 Star — YouTube 拡張機能は、JEV を使用してライブ音声とトランスクリプトからスポンサー付きセグメントを検出し、プロモーション ブロックを自動的にスキップします。 [根拠](https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541)
+- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 77 Star — 選択したルーブリックに対してトランスクリプト文を評価するよう JEV に依頼することで、スコア メーター付きの編集済みビデオを作成します。 [根拠](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py)
+- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 71 Star — JEV がコード提供の返答・ツール候補だけから選ぶツール利用チャット。 [根拠](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="developer-tools"></a>
+### 開発者ツール (27)
+
+- **[Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction)** · 5.7K Star — 保持されたテキストをそのまま保持しながら、Claude Code ツール履歴を圧縮します。 [根拠](https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts)
+- **[TypeSafe Skills](https://github.com/typesafe-ai/skills)** · 1.4K Star — TypeSafe の System One / JEV API 向け公式 Agent Skill 集。 [根拠](https://github.com/typesafe-ai/skills/blob/65a39f393687675ce170e6094757de20370365b9/skills/typesafe-ai/SKILL.md)
+- **[Celesto](https://github.com/CelestoAI/celesto)** · 946 Star — Celesto PR レビューの例では、サンドボックス チェックを準備し、候補となる結果について一般的なモデルと JEV を比較します。 [根拠](https://github.com/CelestoAI/celesto/blob/fff7bb567752baee4ce195fcb78b5ee5e4da889f/examples/pr-review-jev/models.py#L96)
+- **[AI CLI](https://github.com/vercel-labs/ai-cli)** · 808 Star — ターミナルからコンテンツ生成するための Agent Skill 付き CLI。 [根拠](https://github.com/vercel-labs/ai-cli/blob/6a0ed5d04ea60ee536029d469499b82898d1b214/skills/ai-cli/SKILL.md)
+- **[Awesome JEV (yibie)](https://github.com/yibie/awesome-jev)** · 805 Star — 公開 JEV プロジェクト、連携、議論をまとめた大規模コミュニティ目录。 [根拠](https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md)
+- **[Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe)** · 742 Star — 根拠付きの JEV ユースケース・パターン・プロンプト・スターター集。 [根拠](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md)
+- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 599 Star — JEV と TypeSafe System One 向けツールのキュレーション目录。 [根拠](https://github.com/v-modal/awesome-jev-tools/blob/f117e0c368d6e293bf5fdf99244a1173a6dc2ae0/README.md)
+- **[Foreman](https://github.com/thruwire/foreman)** · 446 Star — ワーカーの差分、ログ、テストを読み取り、スタック/オフトラック/検証について JEV Nouls に質問し、Python ポリシーを適用する独立したスーパーバイザー ループ。 [根拠](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py)
+- **[Jev Review](https://github.com/devagrawal09/jev-review)** · 438 Star — Git diff またはコードベースを段階的にレビューし、ローカル ダッシュボードにレビュー リードを表示します。 [根拠](https://github.com/devagrawal09/jev-review/blob/31f89602797fb7bea007f8a480bf368bf564954e/src/review/judgments.ts#L38)
+- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 414 Star — TypeSafe・System One・JEV の公式／コミュニティ資源をまとめたキュレーション一覧。 [根拠](https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md)
+- **[Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev)** · 292 Star — JEV / TypeSafe System One で作られたプロジェクトの根拠付き一覧。 [根拠](https://github.com/cobanov/awesome-jev/blob/2c8c34a7a89499a0cec3ca7de3a23fec3ea9dc97/README.md)
+- **[Orchestkit](https://github.com/yonatangross/orchestkit)** · 280 Star — OrchestKit はオプションで JEV を使用してコーディング セッションを分類し、信頼度がしきい値を満たしたときにその色を設定できます。 [根拠](https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts)
+- **[Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects)** · 264 Star — 根拠付き JEV エコシステムレーダー。平易な発見 UI と GitHub 同期付き。 [根拠](https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md)
+- **[JEV MCP](https://github.com/jkudish/jev-mcp)** · 196 Star — 証拠チェック、コンテンツ スクリーニング、検索、再ランキング、分類、比較、抽出のための 8 つの MCP ツール。 [根拠](https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127)
+- **[JEV Review](https://github.com/NiazMorshed2007/jev-review)** · 191 Star — ローカルの MCP コード品質レビュアーが、構造化スコアをコーディング Agent に返します。 [根拠](https://github.com/NiazMorshed2007/jev-review/blob/57690af54ef7d862c2483342c1e61c14dffcf727/README.md)
+- **[Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev)** · 185 Star — 根拠付き JEV ディレクトリと、再利用可能な JEV 専用 GitHub Review ワークフロー。 [根拠](https://github.com/fatwang2/awesome-jev/blob/f036095ba8203001d40be955f3486cd3e0d0a81b/.github/workflows/jev-review.yml)
+- **[Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev)** · 181 Star — JEV アプリ、ライブラリ、System One 資料のキュレーション一覧。 [根拠](https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md)
+- **[TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp)** · 173 Star — Claude Code、Claude Desktop、Codex、Pi から JEV へ型付き質問を送れる MCP サーバー。 [根拠](https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md)
+- **[Perch](https://github.com/lakeday-org/perch)** · 167 Star — 発見を発火すべきかを JEV / System One に問うセマンティック lint。 [根拠](https://github.com/lakeday-org/perch/blob/54a38d6034264dc507e97294b82316c347fe5a5e/src/systemone.js)
+- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 131 Star — System One の論文、オープン再現、独立評価を集めたギャラリー。 [根拠](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md)
+- **[Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill)** · 128 Star — JEV / System One を呼ぶプログラムの作成・改善を助ける Agent Skill。 [根拠](https://github.com/dbreunig/building-with-jev-skill/blob/04fe3666c6b8b8abfec1271c0e581c823a181f6d/skills/jev/SKILL.md)
+- **[Taskuary](https://github.com/ldbumble/taskuary)** · 116 Star — タスク状態に関するユーザー定義の条件をチェックするための Taskuary のオプションの JEV 判定モジュール。 [根拠](https://github.com/ldbumble/taskuary/blob/4ad29d7b292a7899767338cfcc83b2dde8f43330/README.md)
+- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 115 Star — 型付きで信頼度を扱う判断を中心にした TypeSafe JEV 資料一覧。 [根拠](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md)
+- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 109 Star — awesomejev.com の元カタログで、リポジトリ、連携、デモ、研究を収録。 [根拠](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json)
+- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 106 Star — 専用アダプターを備えたコーディング Agent 向けの限定 JEV ワークフロー。 [根拠](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts)
+- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 80 Star — JEV によってランク付けされた Fish スタイルの Zsh 履歴提案ツール。コンテキストに基づいてローカル履歴から候補コマンドを順序付けします。 [根拠](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196)
+- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 66 Star — 実行可能な型付き判断例を含む JEV 資料一覧。 [根拠](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
+
+<a id="domain-tools"></a>
+### 業務特化ツール (12)
+
+- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.6K Star — 構造化された戦略判断のためのオプションの JEV アダプターを備えた教育用ヘッジファンド プロトタイプ。 [根拠](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py)
+- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 11.9K Star — 選択されたライブエントリーの前に JEV 決定ゲートを備えたオープンソースの取引 OS。 [根拠](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py)
+- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.7K Star — モナドブロックごとに 1 つの JEV 取引決定を要求できるマーケットメイク実験。 [根拠](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts)
+- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 395 Star — プランナーが目標を定め、JEV が合法なゲーム操作を選ぶ Minecraft Agent。 [根拠](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs)
+- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 314 Star — JEV 構造化エミュレータ RAM とスクリーンショットの代わりにテレメトリを提供する実験的な NES マリオ コントローラ。 [根拠](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md)
+- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 143 Star — JEV がローカルで生成されたパスと速度の中から選択するブラウザー運転シミュレーター。 [根拠](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md)
+- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 99 Star — 標準 LLM ツールの選択と 100 個のモック ツールにわたる JEV ルーティングを比較するエージェント ツール評価ハーネス。 [根拠](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154)
+- **[Formanator](https://github.com/timrogers/formanator)** · 98 Star — 任意の JEV レシート分類を備えた福利厚生申請 CLI / MCP クライアント。 [根拠](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs)
+- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 96 Star — JEV 戦術的なアドバイスのためにカメラ バッファーからシーンの特徴を導出する MuJoCo ドローン実験。 [根拠](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184)
+- **[Dasheng](https://github.com/wquguru/dasheng)** · 90 Star — ストリーミング ASR と単語ごとの JEV 判断を組み合わせた音読練習アプリ。 [根拠](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js)
+- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 68 Star — JEV を限定判断レイヤーに使う Hyperliquid ライブ取引 Agent。 [根拠](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts)
+- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 54 Star — リバランス判断サービスで JEV を使う自律流動性 Agent。 [根拠](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts)
+
+<sub><a href="#categories">↑ カテゴリへ戻る</a></sub>
 
 ## BeatAPI
 
diff --git a/README.md b/README.md
index a7b0331..67a2742 100644
--- a/README.md
+++ b/README.md
@@ -40,19 +40,20 @@
 </table>
 </div>
 
+<a id="categories"></a>
 <h2 align="center">Browse by category</h2>
 
 <p align="center">
-  <strong>Browser & computer use · 14</strong> ·
-  <strong>SDK integrations · 23</strong> ·
-  <strong>Routing & optimization · 14</strong> ·
-  <strong>Open models · 17</strong> ·
-  <strong>Search & data · 9</strong><br>
-  <strong>Safety & review · 12</strong> ·
-  <strong>Agent workflows · 11</strong> ·
-  <strong>Interfaces & automation · 8</strong> ·
-  <strong>Developer tools · 27</strong> ·
-  <strong>Domain tools · 12</strong>
+  <a href="#browser-computer-use"><strong>Browser & computer use · 14</strong></a> ·
+  <a href="#sdk-integrations"><strong>SDK integrations · 23</strong></a> ·
+  <a href="#routing-optimization"><strong>Routing & optimization · 14</strong></a> ·
+  <a href="#open-models"><strong>Open models · 17</strong></a> ·
+  <a href="#search-data"><strong>Search & data · 9</strong></a><br>
+  <a href="#safety-review"><strong>Safety & review · 12</strong></a> ·
+  <a href="#agent-workflows"><strong>Agent workflows · 11</strong></a> ·
+  <a href="#interfaces"><strong>Interfaces & automation · 8</strong></a> ·
+  <a href="#developer-tools"><strong>Developer tools · 27</strong></a> ·
+  <a href="#domain-tools"><strong>Domain tools · 12</strong></a>
 </p>
 
 ## Featured project gallery
@@ -75,153 +76,212 @@
 <a id="all-projects"></a>
 ## All 147 projects
 
-- [LangChain · TypeSafe](https://github.com/langchain-ai/langchain) · 146,779 stars
-- [AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund) · 63,642 stars
-- [LiteLLM · JEV Router](https://github.com/BerriAI/litellm) · 59,305 stars
-- [Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi) · 32,236 stars
-- [Jev Model Router](https://github.com/davila7/claude-code-templates) · 30,870 stars
-- [Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio) · 30,268 stars
-- [Vercel AI SDK · TypeSafe](https://github.com/vercel/ai) · 26,870 stars
-- [Cua · JEV Use](https://github.com/trycua/cua) · 25,422 stars
-- [Openwork](https://github.com/different-ai/openwork) · 23,682 stars
-- [Pydantic AI · TypeSafe](https://github.com/pydantic/pydantic-ai) · 20,084 stars
-- [Eliza · TypeSafe Client](https://github.com/elizaOS/eliza) · 19,404 stars
-- [LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs) · 18,215 stars
-- [json-render · JEV Compose](https://github.com/vercel-labs/json-render) · 17,731 stars
-- [Jev Ultrafast](https://github.com/browser-use/jev-ultrafast) · 13,811 stars
-- [QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger) · 11,883 stars
-- [OpenChamber · JEV Router](https://github.com/openchamber/openchamber) · 10,213 stars
-- [Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig) · 8,691 stars
-- [Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate) · 6,889 stars
-- [Laya](https://github.com/NandhaKishorM/laya) · 6,688 stars
-- [Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction) · 5,719 stars
-- [Eve](https://github.com/vercel/eve) · 5,291 stars
-- [Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway) · 4,953 stars
-- [Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm) · 4,665 stars
-- [Ax · TypeSafe Client](https://github.com/ax-llm/ax) · 2,934 stars
-- [SemIf](https://github.com/TheoLeeCJ/SemIf) · 2,749 stars
-- [JEV Trader](https://github.com/jarrodwatts/jev-trader) · 1,672 stars
-- [NanoJev](https://github.com/TianyuCodings/NanoJev) · 1,672 stars
-- [Kev 0.5B](https://github.com/jaredpalmer/kev) · 1,530 stars
-- [TypeSafe Skills](https://github.com/typesafe-ai/skills) · 1,388 stars
-- [Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop) · 1,378 stars
-- [Nimble](https://github.com/bespokelabsai/nimble) · 1,357 stars
-- [Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant) · 1,293 stars
-- [NewsJack](https://github.com/elvisun/newsjack) · 1,271 stars
-- [Jevlike](https://github.com/vinnylarouge/jevlike) · 1,132 stars
-- [Celesto](https://github.com/CelestoAI/celesto) · 946 stars
-- [Atomic](https://github.com/bastani-inc/atomic) · 809 stars
-- [AI CLI](https://github.com/vercel-labs/ai-cli) · 808 stars
-- [Awesome JEV (yibie)](https://github.com/yibie/awesome-jev) · 805 stars
-- [Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe) · 742 stars
-- [TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use) · 693 stars
-- [Aiavatarkit](https://github.com/uezo/aiavatarkit) · 678 stars
-- [Kody](https://github.com/kentcdodds/kody) · 659 stars
-- [LocalJev](https://github.com/githubnext/localjev) · 657 stars
-- [TipTour macOS](https://github.com/milind-soni/tiptour-macos) · 627 stars
-- [Agent](https://github.com/AgentiLoop/Agent) · 618 stars
-- [Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools) · 599 stars
-- [Req LLM](https://github.com/agentjido/req_llm) · 580 stars
-- [Omg.dev](https://github.com/BennyKok/omg.dev) · 533 stars
-- [Jev CU](https://github.com/Sac-Y/Jev-cu) · 519 stars
-- [Splash](https://github.com/incoai/splash) · 506 stars
-- [Foreman](https://github.com/thruwire/foreman) · 446 stars
-- [Jev Review](https://github.com/devagrawal09/jev-review) · 438 stars
-- [Simple JEV](https://github.com/featherless-ai/simple-jev) · 428 stars
-- [Vexjoy Agent](https://github.com/notque/vexjoy-agent) · 421 stars
-- [Smithers](https://github.com/smithersai/smithers) · 418 stars
-- [Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe) · 414 stars
-- [Classifier.dev](https://github.com/mrmps/classifier-dev) · 396 stars
-- [Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent) · 395 stars
-- [Jev Experiments](https://github.com/dabit3/jev-experiments) · 352 stars
-- [JEV Search](https://github.com/superagents-lab/jev-search) · 352 stars
-- [Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills) · 335 stars
-- [WrongStack](https://github.com/WrongStack/WrongStack) · 329 stars
-- [Instructor Php](https://github.com/cognesy/instructor-php) · 327 stars
-- [Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier) · 314 stars
-- [TypeSafe Mario](https://github.com/fhshaik/typesafe-mario) · 314 stars
-- [Mobile JEV](https://github.com/droidrun/mobile-jev) · 304 stars
-- [Von](https://github.com/wfzyx/von) · 297 stars
-- [Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev) · 292 stars
-- [JEV Browser Use](https://github.com/wy-coliney/jev-browser-use) · 291 stars
-- [JEV Router](https://github.com/gargpratyush/jev-router) · 283 stars
-- [Orchestkit](https://github.com/yonatangross/orchestkit) · 280 stars
-- [Third Hand](https://github.com/shhivv/third-hand) · 270 stars
-- [Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects) · 264 stars
-- [Pg JEV](https://github.com/realZachi/pg-jev) · 259 stars
-- [jev-align](https://github.com/sutro-sh/jev-align) · 253 stars
-- [Openai Scala Client](https://github.com/cequence-io/openai-scala-client) · 248 stars
-- [Openjev](https://github.com/razorback16/openjev) · 245 stars
-- [OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang) · 245 stars
-- [Pi Fabric](https://github.com/monotykamary/pi-fabric) · 241 stars
-- [OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0) · 221 stars
-- [Skillbox](https://github.com/kitze/skillbox) · 220 stars
-- [System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python) · 218 stars
-- [JEV Browser](https://github.com/jkudish/jev-browser) · 209 stars
-- [Abide](https://github.com/coldteadotai/abide) · 199 stars
-- [Notra](https://github.com/usenotra/notra) · 199 stars
-- [JEV MCP](https://github.com/jkudish/jev-mcp) · 196 stars
-- [TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js) · 196 stars
-- [JEV Visual](https://github.com/hr98w/jev-visual) · 192 stars
-- [JEV Review](https://github.com/NiazMorshed2007/jev-review) · 191 stars
-- [JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser) · 187 stars
-- [OpenWhisper](https://github.com/Knuckles92/OpenWhisper) · 187 stars
-- [Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev) · 185 stars
-- [Jeff](https://github.com/logan-markewich/jeff) · 183 stars
-- [Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev) · 181 stars
-- [Decider](https://github.com/Mapika/decider) · 180 stars
-- [Interlinked CLI](https://github.com/QuentinCody/interlinked-cli) · 178 stars
-- [TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp) · 173 stars
-- [TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python) · 171 stars
-- [Perch](https://github.com/lakeday-org/perch) · 167 stars
-- [Runline](https://github.com/Michaelliv/runline) · 162 stars
-- [Compact Adviser](https://github.com/kunchenguid/compact-adviser) · 157 stars
-- [djev-spark](https://github.com/mmastrac/djev-spark) · 152 stars
-- [Unclutter](https://github.com/kitze/unclutter) · 152 stars
-- [Jevpilot](https://github.com/standardagents/jevpilot) · 143 stars
-- [AI](https://github.com/hackclub/ai) · 133 stars
-- [Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery) · 131 stars
-- [Pi JEV](https://github.com/y0usaf/pi-jev) · 131 stars
-- [JEV Pruner](https://github.com/tamaratran/jev-pruner) · 130 stars
-- [Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill) · 128 stars
-- [JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router) · 125 stars
-- [JevRouter](https://github.com/BillionsBobby/JevRouter) · 125 stars
-- [jev-semgrep](https://github.com/uehaj/jev-semgrep) · 122 stars
-- [Effect Agent](https://github.com/danieljvdm/effect-agent) · 121 stars
-- [Pi Warden](https://github.com/DevMortimer/pi-warden) · 118 stars
-- [Taskuary](https://github.com/ldbumble/taskuary) · 116 stars
-- [Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe) · 115 stars
-- [Awesome Jev](https://github.com/hellogumbo/awesome-jev) · 109 stars
-- [Skillranker](https://github.com/Dicklesworthstone/skillranker) · 107 stars
-- [Stanley Code](https://github.com/devagrawal09/stanley-code) · 106 stars
-- [JEV Eval Agent](https://github.com/vinilana/jev-eval-agent) · 99 stars
-- [Formanator](https://github.com/timrogers/formanator) · 98 stars
-- [JEV Drone](https://github.com/RomanSlack/jev-drone) · 96 stars
-- [Reflex](https://github.com/kshetrajna12/reflex) · 91 stars
-- [Bluenoise](https://github.com/rokcso/bluenoise) · 90 stars
-- [Dasheng](https://github.com/wquguru/dasheng) · 90 stars
-- [Advocaat](https://github.com/pithings/advocaat) · 88 stars
-- [Supercov](https://github.com/supercorp-ai/supercov) · 85 stars
-- [Open JEV](https://github.com/daseinlabs/open-jev) · 82 stars
-- [Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe) · 81 stars
-- [Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection) · 81 stars
-- [JEV Shell History](https://github.com/mrnugget/jev-shell-history) · 80 stars
-- [JEV Use](https://github.com/savka777/jev-use) · 79 stars
-- [jev-gateway](https://github.com/vinilana/jev-gateway) · 79 stars
-- [Jevmeter](https://github.com/ChetasLua/jevmeter) · 77 stars
-- [Captaincore](https://github.com/CaptainCore/captaincore) · 71 stars
-- [JEV Chat](https://github.com/w3cj/jev-chat) · 71 stars
-- [Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev) · 68 stars
-- [JEV Trade](https://github.com/aowang-ai/jev-trade) · 68 stars
-- [Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev) · 66 stars
-- [TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock) · 64 stars
-- [JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser) · 62 stars
-- [Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean) · 62 stars
-- [Agent Router](https://github.com/nidhi-singh02/agent-router) · 58 stars
-- [jegrep](https://github.com/can1357/jegrep) · 57 stars
-- [Neo4JEV](https://github.com/jexp/neo4jev) · 57 stars
-- [Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent) · 54 stars
-- [Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev) · 52 stars
+<a id="browser-computer-use"></a>
+### Browser & computer use (14)
+
+- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.4K stars — A computer-use example pairing Cua Driver observation and execution with bounded JEV choices. [Source](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11)
+- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 13.8K stars — A browser agent that uses JEV to choose an action and matching DOM element, calling a text model only when input text is needed. [Source](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py)
+- **[Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop)** · 1.4K stars — An optional JEV skill that chooses native desktop controls and actions from accessibility data. [Source](https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs)
+- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 693 stars — Builds candidate actions from OCR and UI state for Jev to control macOS, calling a text model only when writing is needed. [Source](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py)
+- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 533 stars — An omg.dev mobile testing script can use Jev to read the accessibility tree and choose the next interaction. [Source](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts)
+- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 519 stars — Computer-use helpers that call JEV to decide the next UI action. [Source](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs)
+- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 304 stars — Controls an Android phone through Mobilerun, with a web studio and CLI showing Jev decisions. [Source](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224)
+- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 291 stars — A Skill for Codex browser workflows: Jev chooses navigation, clicks, and scrolling while Codex handles text input and final checks. [Source](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs)
+- **[Third Hand](https://github.com/shhivv/third-hand)** · 270 stars — A Swift client stack that calls JEV while driving local computer-use style helpers. [Source](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift)
+- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 209 stars — Drives a browser from a task and URL, returning the final page, screenshot and action trace. [Source](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1)
+- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 187 stars — Controls a Playwright browser by sending incremental speech transcripts to Jev. [Source](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123)
+- **[JEV Use](https://github.com/savka777/jev-use)** · 79 stars — A macOS computer-use harness that drives Accessibility controls without a vision model. [Source](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md)
+- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 64 stars — An experimental Chrome extension that asks Jev whether candidate DOM elements are ads, then highlights or removes them. [Source](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js)
+- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 62 stars — A browser automation library, CLI, and MCP server pairing LLM plans with JEV actions. [Source](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="sdk-integrations"></a>
+### SDK integrations (23)
+
+- **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · 146.8K stars — An optional JEV classifier integration for Python LangChain workflows. [Source](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py)
+- **[Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio)** · 30.3K stars — A TypeSafe provider that uses JEV to choose among tools and bounded argument options. [Source](https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts)
+- **[Vercel AI SDK · TypeSafe](https://github.com/vercel/ai)** · 26.9K stars — The AI SDK TypeSafe provider exposes JEV through the shared evaluate interface. [Source](https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts)
+- **[Pydantic AI · TypeSafe](https://github.com/pydantic/pydantic-ai)** · 20.1K stars — A TypeSafe model integration that maps supported structured outputs to JEV questions. [Source](https://github.com/pydantic/pydantic-ai/blob/c4898abb54dc25ae6f6aef208a4c0661b30a455e/pydantic_ai_slim/pydantic_ai/models/typesafe.py)
+- **[Eliza · TypeSafe Client](https://github.com/elizaOS/eliza)** · 19.4K stars — An optional TypeSafe HTTP adapter in the Eliza agent operating system. [Source](https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts)
+- **[LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs)** · 18.2K stars — A TypeSafeClassifier integration for JavaScript LangChain workflows. [Source](https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts)
+- **[Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig)** · 8.7K stars — An experimental Rust crate for expressing JEV questions and answers with Rust types. [Source](https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40)
+- **[Ax · TypeSafe Client](https://github.com/ax-llm/ax)** · 2.9K stars — A TypeSafe integration for boolean, finite-class, and native JEV signatures. [Source](https://github.com/ax-llm/ax/blob/5c43344f9ef3016db576fa2c3b59d48ef21b4d71/src/ax/ai/typesafe/client.ts#L1)
+- **[Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant)** · 1.3K stars — An optional JEV provider that submits conversation state and explicit questions. [Source](https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts)
+- **[Req LLM](https://github.com/agentjido/req_llm)** · 580 stars — A TypeSafe provider for calling Jev through ReqLLM’s evaluate interface in Elixir. [Source](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md)
+- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 428 stars — Adapter turning open LLM endpoints into Jev-compatible classification services without training a separate classifier head. [Source](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85)
+- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 396 stars — A zero-shot classification service with JEV as its primary typed-decision backend. [Source](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts)
+- **[Instructor Php](https://github.com/cognesy/instructor-php)** · 327 stars — A TypeSafe Decision driver within Instructor PHP’s Polyglot module. [Source](https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md)
+- **[Openai Scala Client](https://github.com/cequence-io/openai-scala-client)** · 248 stars — A dedicated TypeSafe module in a Scala client that supports multiple AI providers. [Source](https://github.com/cequence-io/openai-scala-client/blob/cfabe8842344da713615d0121a7804840649eb46/README.md)
+- **[Openjev](https://github.com/razorback16/openjev)** · 245 stars — An independent System One decision server compatible with Jev’s API, running an open DiffusionGemma model. [Source](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py)
+- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 241 stars — Pi’s programmable runtime includes an optional Jev loop for observing state, making decisions and running bounded actions. [Source](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md)
+- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 218 stars — A drop-in TypeSafeClient replacement that backs System One calls with ordinary LLM APIs. [Source](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py)
+- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 196 stars — The JavaScript and TypeScript SDK published by TypeSafe, with typed Jev requests and answers. [Source](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md)
+- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 171 stars — Official TypeSafe Python SDK with synchronous and asynchronous clients for Jev System One, plus question and answer types. [Source](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221)
+- **[Runline](https://github.com/Michaelliv/runline)** · 162 stars — A TypeSafe plugin exposing Jev decisions as callable actions in Runline Agent JavaScript. [Source](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md)
+- **[AI](https://github.com/hackclub/ai)** · 133 stars — A Jev forwarding endpoint in the Hack Club AI proxy, using its authentication, limits and usage logging. [Source](https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md)
+- **[Effect Agent](https://github.com/danieljvdm/effect-agent)** · 121 stars — An Effect Agent TypeSafe decision provider for typed question sets and optional model selection. [Source](https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md)
+- **[Advocaat](https://github.com/pithings/advocaat)** · 88 stars — A small TypeScript client for asking Jev multiple typed questions about the same data. [Source](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="routing-optimization"></a>
+### Routing & optimization (14)
+
+- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.3K stars — LiteLLM can use JEV inside its complexity-based model router. [Source](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70)
+- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.2K stars — A coding agent with an optional TypeSafe judgment provider for bounded workflow decisions. [Source](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4)
+- **[OpenChamber · JEV Router](https://github.com/openchamber/openchamber)** · 10.2K stars — An optional automatic model router that classifies a message before model selection. [Source](https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js)
+- **[Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate)** · 6.9K stars — An agent crew dispatcher that can match task briefs to rules with JEV. [Source](https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh)
+- **[Atomic](https://github.com/bastani-inc/atomic)** · 809 stars — An optional Jev decision backend in the Atomic coding Agent for bounded structured choices such as routing. [Source](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts)
+- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 421 stars — An optional Jev routing path that matches VexJoy requests to specialist Agents, skills and workflows. [Source](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md)
+- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 335 stars — JEV-powered routing, memory, compaction, skill selection, and computer/browser use for Hermes agents. [Source](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py)
+- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 329 stars — An optional Jev dispatch classifier for choosing among WrongStack specialist Agents. [Source](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md)
+- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 283 stars — A Claude Code and CLI proxy that asks Jev to score task complexity and pick a model from the account’s available set. [Source](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63)
+- **[Skillbox](https://github.com/kitze/skillbox)** · 220 stars — A self-hosted, versioned Agent skills library with optional Jev recommendations. [Source](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md)
+- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 125 stars — Uses Jev to classify each Codex turn, then applies local rules to choose the model, reasoning effort, and speed mode. [Source](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py)
+- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 125 stars — A lightweight JEV router for models, tools, and subagents. [Source](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts)
+- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 68 stars — A JEV decision layer for Grok Bot with usage gates and skill templates. [Source](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md)
+- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 58 stars — A CLI that routes tasks to coding agents, models, and reasoning effort with JEV. [Source](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="open-models"></a>
+### Open models (17)
+
+- **[Laya](https://github.com/NandhaKishorM/laya)** · 6.7K stars — Multilingual non-autoregressive System 1 decision engine: typed choice/score/noul in one forward pass, with a router across checkpoints. [Source](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)
+- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 2.7K stars — An independent open-model implementation of the semantic-if interface pattern. [Source](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md)
+- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.7K stars — A 0.6B open replica of the JEV interface with parallel decisions and a training pipeline. [Source](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md)
+- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 1.5K stars — A tiny trainable Jev-like decision model based on Qwen2.5-0.5B. [Source](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md)
+- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.4K stars — An open toolkit for local typed decisions, data curation, and evaluation. [Source](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md)
+- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.1K stars — An independent starter model that scores a changing list of text or visual options in one pass. [Source](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md)
+- **[LocalJev](https://github.com/githubnext/localjev)** · 657 stars — A local Jev-compatible server with benchmarks across small local models. [Source](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md)
+- **[Splash](https://github.com/incoai/splash)** · 506 stars — A local Apple Silicon inference engine oriented around decision-style models. [Source](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md)
+- **[Von](https://github.com/wfzyx/von)** · 297 stars — An open, local System One decision model with a JEV-compatible interface. [Source](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md)
+- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 245 stars — A JEV-compatible API endpoint built on open models with a prefill-only serving path. [Source](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py)
+- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 221 stars — A calibrated ~151M non-autoregressive local decision engine aiming at JEV-style typed answers. [Source](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py)
+- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 192 stars — An educational JEV-like visual inference experiment on Apple Silicon with shared context scoring. [Source](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py)
+- **[Jeff](https://github.com/logan-markewich/jeff)** · 183 stars — A self-hosted Jev-compatible service powered by GliFormer. [Source](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md)
+- **[Decider](https://github.com/Mapika/decider)** · 180 stars — One-pass typed decisions with calibrated probabilities, fine-tuned from Qwen3.5-2B. [Source](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py)
+- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 152 stars — A DGX Spark container recipe for running DiffusionGemma NVFP4 structured decisions. [Source](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md)
+- **[Reflex](https://github.com/kshetrajna12/reflex)** · 91 stars — A small open decision model that recreates the JEV/System One interface on Qwen. [Source](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md)
+- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 82 stars — An open JEV-style implementation with custom fine-tuning support. [Source](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="search-data"></a>
+### Search & data (9)
+
+- **[Kody](https://github.com/kentcdodds/kody)** · 659 stars — Optional second-stage search: widen the hybrid pool, then Score-rerank candidates with Workers AI typesafe/jev. [Source](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts)
+- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 352 stars — Small Jev experiments including intent search and agent-assist flows. [Source](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist)
+- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 352 stars — Searches the web with Jev choosing sources and time ranges, then ranking returned links. [Source](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48)
+- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 314 stars — Classifies extracted tax-document pages against a fixed IRS form catalogue. [Source](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts)
+- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 259 stars — Adds natural-language filtering, classification, and ranking of rows to PostgreSQL queries. [Source](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql)
+- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 122 stars — Meaning-based grep with multilingual AND, OR, NOT, and probability thresholds. [Source](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md)
+- **[Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe)** · 81 stars — A pre-alpha PostgreSQL C extension for calling Jev from SQL for classification, yes/no judgments, and scoring. [Source](https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c)
+- **[jegrep](https://github.com/can1357/jegrep)** · 57 stars — Semantic grep for live code trees: describe what you need, get files and original line ranges without building an index. [Source](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs)
+- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 57 stars — A Neo4j graph navigator that uses JEV to classify the next relationship. [Source](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="safety-review"></a>
+### Safety & review (12)
+
+- **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 5.0K stars — A JEV webhook guardrail example for inspecting model requests and responses. [Source](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts)
+- **[Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm)** · 4.7K stars — An optional JEV preclassifier for selecting which conversation checks should run. [Source](https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1)
+- **[Agent](https://github.com/AgentiLoop/Agent)** · 618 stars — An optional Jev command-risk advisor inside a native macOS Agent, with a TypeSafeKit client. [Source](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md)
+- **[jev-align](https://github.com/sutro-sh/jev-align)** · 253 stars — A CLI for calibrating Jev classifiers from human examples with GEPA. [Source](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md)
+- **[Abide](https://github.com/coldteadotai/abide)** · 199 stars — A coding-agent rule layer for constraints that ordinary linters cannot express. [Source](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md)
+- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 178 stars — Interlinked adds optional Jev judgments and evidence checks to local coding-agent checks. [Source](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14)
+- **[Unclutter](https://github.com/kitze/unclutter)** · 152 stars — A browser extension using Jev to identify ads, promotions, and subscription popups and save reusable hiding rules. [Source](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts)
+- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 131 stars — A Pi extension that flags tool risks before execution and checks output for secrets and failure types. [Source](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md)
+- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 118 stars — Adds checks for project rules, out-of-scope actions, repeated failures, and completion claims to Pi Agents. [Source](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts)
+- **[Supercov](https://github.com/supercorp-ai/supercov)** · 85 stars — A code-quality and coverage tool that uses JEV for bounded quality checks. [Source](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs)
+- **[Captaincore](https://github.com/CaptainCore/captaincore)** · 71 stars — Jev commands in the WordPress toolkit CaptainCore answer structured questions and prioritize malware scanner findings for review. [Source](https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go)
+- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 52 stars — An Oxlint plugin that evaluates semantic lint rules with JEV. [Source](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="agent-workflows"></a>
+### Agent workflows (11)
+
+- **[Jev Model Router](https://github.com/davila7/claude-code-templates)** · 30.9K stars — A Claude Code mod that classifies subagent model and reasoning-effort needs. [Source](https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts)
+- **[Openwork](https://github.com/different-ai/openwork)** · 23.7K stars — An open-source cowork-style agent workspace that can run JEV-backed reviews inside CI and skill workflows. [Source](https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs)
+- **[Eve](https://github.com/vercel/eve)** · 5.3K stars — Vercel’s open agent framework for packaging skills, evals, and tool-using workflows. [Source](https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md)
+- **[NewsJack](https://github.com/elvisun/newsjack)** · 1.3K stars — An open-source PR workflow that screens a live news feed for timely brand opportunities. [Source](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer)
+- **[Smithers](https://github.com/smithersai/smithers)** · 418 stars — An agentic TypeScript workflow framework with a first-class JEV classify path. [Source](https://github.com/smithersai/smithers/blob/394ada6a3fb815b4b62cfc7bc2242e238d42ff44/apps/server/src/jev.ts)
+- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 157 stars — A coding-agent skill/plugin that advises when to compact context to save tokens. [Source](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md)
+- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 130 stars — A Claude Code plugin that trims long Bash output with TypeSafe JEV before the model sees it. [Source](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts)
+- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 107 stars — A Rust CLI that ranks agent skills against live session context with JEV. [Source](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md)
+- **[Bluenoise](https://github.com/rokcso/bluenoise)** · 90 stars — An X/Twitter filtering extension using local rules by default, with optional Jev checks for unmatched replies. [Source](https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts)
+- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 79 stars — A gateway for inserting Jev decisions into Claude Code and Codex tool flows. [Source](https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md)
+- **[Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean)** · 62 stars — A context cleaner that asks JEV which history to retain, truncate, or drop. [Source](https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="interfaces"></a>
+### Interfaces & automation (8)
+
+- **[json-render · JEV Compose](https://github.com/vercel-labs/json-render)** · 17.7K stars — A JEV UI-composition experiment that selects from predefined components and properties. [Source](https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts)
+- **[Aiavatarkit](https://github.com/uezo/aiavatarkit)** · 678 stars — An optional AIAvatarKit component uses Jev to judge turn endings from speech transcripts. [Source](https://github.com/uezo/aiavatarkit/blob/38b617b8b9269939734e70ef503d7ea6976acdbd/aiavatar/sts/vad/turn_end_gates/jev.py#L172)
+- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 627 stars — A local macOS computer-use companion driven by Jev or Gemini Live. [Source](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md)
+- **[Notra](https://github.com/usenotra/notra)** · 199 stars — A product that turns work artifacts into publishable content with agent skill hooks. [Source](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md)
+- **[OpenWhisper](https://github.com/Knuckles92/OpenWhisper)** · 187 stars — A dictation and meeting-notes app with optional Jev checks for topic changes, note-taker instructions and sensitive text. [Source](https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md)
+- **[Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection)** · 81 stars — YouTube extension detecting sponsored segments from live audio and transcripts using Jev, skipping promotional blocks automatically. [Source](https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541)
+- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 77 stars — Creates edited videos with score meters by asking Jev to rate transcript sentences against selected rubrics. [Source](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py)
+- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 71 stars — A tool-using chat interface where JEV chooses only from code-supplied reply and tool options. [Source](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="developer-tools"></a>
+### Developer tools (27)
+
+- **[Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction)** · 5.7K stars — Compacts Claude Code tool history while keeping retained text verbatim. [Source](https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts)
+- **[TypeSafe Skills](https://github.com/typesafe-ai/skills)** · 1.4K stars — Official agent skills for building against TypeSafe’s System One / JEV API. [Source](https://github.com/typesafe-ai/skills/blob/65a39f393687675ce170e6094757de20370365b9/skills/typesafe-ai/SKILL.md)
+- **[Celesto](https://github.com/CelestoAI/celesto)** · 946 stars — A Celesto PR-review example prepares sandbox checks and compares a general model with Jev on candidate findings. [Source](https://github.com/CelestoAI/celesto/blob/fff7bb567752baee4ce195fcb78b5ee5e4da889f/examples/pr-review-jev/models.py#L96)
+- **[AI CLI](https://github.com/vercel-labs/ai-cli)** · 808 stars — A terminal generator CLI that ships with an agent skill for creating content from the command line. [Source](https://github.com/vercel-labs/ai-cli/blob/6a0ed5d04ea60ee536029d469499b82898d1b214/skills/ai-cli/SKILL.md)
+- **[Awesome JEV (yibie)](https://github.com/yibie/awesome-jev)** · 805 stars — A large community directory of public JEV projects, integrations, and discussions. [Source](https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md)
+- **[Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe)** · 742 stars — An evidence-backed playbook of JEV use cases, patterns, prompts, and starter code. [Source](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md)
+- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 599 stars — A curated directory focused on tools built for JEV and TypeSafe System One. [Source](https://github.com/v-modal/awesome-jev-tools/blob/f117e0c368d6e293bf5fdf99244a1173a6dc2ae0/README.md)
+- **[Foreman](https://github.com/thruwire/foreman)** · 446 stars — An independent supervisor loop that reads worker diffs, logs and tests, asks Jev Nouls about stuck / off-track / verify, then applies a Python policy. [Source](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py)
+- **[Jev Review](https://github.com/devagrawal09/jev-review)** · 438 stars — Reviews a Git diff or a codebase in stages and displays review leads in a local dashboard. [Source](https://github.com/devagrawal09/jev-review/blob/31f89602797fb7bea007f8a480bf368bf564954e/src/review/judgments.ts#L38)
+- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 414 stars — A curated list of official and community resources for TypeSafe, System One, and JEV. [Source](https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md)
+- **[Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev)** · 292 stars — A source-backed list of projects built with JEV / TypeSafe System One. [Source](https://github.com/cobanov/awesome-jev/blob/2c8c34a7a89499a0cec3ca7de3a23fec3ea9dc97/README.md)
+- **[Orchestkit](https://github.com/yonatangross/orchestkit)** · 280 stars — OrchestKit can optionally use Jev to classify coding sessions and set their colors when confidence meets a threshold. [Source](https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts)
+- **[Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects)** · 264 stars — A source-backed JEV ecosystem radar with plain-language discovery and GitHub sync. [Source](https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md)
+- **[JEV MCP](https://github.com/jkudish/jev-mcp)** · 196 stars — Eight MCP tools for evidence checks, content screening, search, reranking, classification, comparison and extraction. [Source](https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127)
+- **[JEV Review](https://github.com/NiazMorshed2007/jev-review)** · 191 stars — A local MCP code-quality reviewer returning structured scores to coding Agents. [Source](https://github.com/NiazMorshed2007/jev-review/blob/57690af54ef7d862c2483342c1e61c14dffcf727/README.md)
+- **[Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev)** · 185 stars — A source-backed JEV directory plus a reusable JEV-only GitHub review workflow. [Source](https://github.com/fatwang2/awesome-jev/blob/f036095ba8203001d40be955f3486cd3e0d0a81b/.github/workflows/jev-review.yml)
+- **[Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev)** · 181 stars — A curated list of JEV applications, libraries, and System One resources. [Source](https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md)
+- **[TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp)** · 173 stars — An MCP server that lets Claude Code, Claude Desktop, Codex and Pi ask Jev typed questions. [Source](https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md)
+- **[Perch](https://github.com/lakeday-org/perch)** · 167 stars — Semantic code linting that asks JEV / System One whether findings should fire. [Source](https://github.com/lakeday-org/perch/blob/54a38d6034264dc507e97294b82316c347fe5a5e/src/systemone.js)
+- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 131 stars — A gallery of System One papers, open reproductions, and independent evaluations. [Source](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md)
+- **[Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill)** · 128 stars — An agent skill for writing and improving programs that call JEV / System One. [Source](https://github.com/dbreunig/building-with-jev-skill/blob/04fe3666c6b8b8abfec1271c0e581c823a181f6d/skills/jev/SKILL.md)
+- **[Taskuary](https://github.com/ldbumble/taskuary)** · 116 stars — An optional Jev judgment module in Taskuary for checking user-defined conditions on task state. [Source](https://github.com/ldbumble/taskuary/blob/4ad29d7b292a7899767338cfcc83b2dde8f43330/README.md)
+- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 115 stars — A TypeSafe JEV resource list centered on typed, confidence-aware decisions. [Source](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md)
+- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 109 stars — The source catalogue behind awesomejev.com, covering repos, integrations, demos, and research. [Source](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json)
+- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 106 stars — Bounded JEV workflows for coding agents with a dedicated adapter. [Source](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts)
+- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 80 stars — Fish-style Zsh history suggestion tool ranked by Jev, ordering candidate commands from local history based on context. [Source](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196)
+- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 66 stars — A curated JEV resource list with runnable typed-decision examples. [Source](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
+
+<a id="domain-tools"></a>
+### Domain tools (12)
+
+- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.6K stars — An educational hedge-fund prototype with an optional JEV adapter for structured strategy judgments. [Source](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py)
+- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 11.9K stars — An open-source trading OS with a JEV decision gate before selected live entries. [Source](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py)
+- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.7K stars — A market-making experiment that can request one JEV trade decision per Monad block. [Source](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts)
+- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 395 stars — A Minecraft agent where a planner sets objectives and JEV selects legal game actions. [Source](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs)
+- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 314 stars — An experimental NES Mario controller that gives Jev structured emulator RAM and telemetry instead of screenshots. [Source](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md)
+- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 143 stars — A browser driving simulator where Jev chooses among locally generated paths and speeds. [Source](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md)
+- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 99 stars — Agent tool evaluation harness comparing standard LLM tool selection against Jev routing across 100 mocked tools. [Source](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154)
+- **[Formanator](https://github.com/timrogers/formanator)** · 98 stars — A CLI and MCP client for benefit claims with optional JEV receipt classification. [Source](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs)
+- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 96 stars — A MuJoCo drone experiment deriving scene features from camera buffers for Jev tactical advice. [Source](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184)
+- **[Dasheng](https://github.com/wquguru/dasheng)** · 90 stars — A reading-practice app that combines streaming ASR with per-word JEV judgments. [Source](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js)
+- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 68 stars — A live Hyperliquid trading agent with JEV as a bounded decision layer. [Source](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts)
+- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 54 stars — An autonomous liquidity agent that uses JEV inside its rebalancing decision service. [Source](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts)
+
+<sub><a href="#categories">↑ Back to categories</a></sub>
 
 ## BeatAPI
 
diff --git a/README.zh-CN.md b/README.zh-CN.md
index acb87f1..055689a 100644
--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@@ -40,19 +40,20 @@
 </table>
 </div>
 
+<a id="categories"></a>
 <h2 align="center">按分类浏览</h2>
 
 <p align="center">
-  <strong>浏览器与电脑操作 · 14</strong> ·
-  <strong>SDK 与框架集成 · 23</strong> ·
-  <strong>路由与优化 · 14</strong> ·
-  <strong>开放模型 · 17</strong> ·
-  <strong>搜索与数据 · 9</strong><br>
-  <strong>安全与审查 · 12</strong> ·
-  <strong>Agent 工作流 · 11</strong> ·
-  <strong>界面与自动化 · 8</strong> ·
-  <strong>开发者工具 · 27</strong> ·
-  <strong>垂直工具 · 12</strong>
+  <a href="#browser-computer-use"><strong>浏览器与电脑操作 · 14</strong></a> ·
+  <a href="#sdk-integrations"><strong>SDK 与框架集成 · 23</strong></a> ·
+  <a href="#routing-optimization"><strong>路由与优化 · 14</strong></a> ·
+  <a href="#open-models"><strong>开放模型 · 17</strong></a> ·
+  <a href="#search-data"><strong>搜索与数据 · 9</strong></a><br>
+  <a href="#safety-review"><strong>安全与审查 · 12</strong></a> ·
+  <a href="#agent-workflows"><strong>Agent 工作流 · 11</strong></a> ·
+  <a href="#interfaces"><strong>界面与自动化 · 8</strong></a> ·
+  <a href="#developer-tools"><strong>开发者工具 · 27</strong></a> ·
+  <a href="#domain-tools"><strong>垂直工具 · 12</strong></a>
 </p>
 
 ## 精选项目 Gallery
@@ -75,153 +76,212 @@
 <a id="all-projects"></a>
 ## 全部 147 个项目
 
-- [LangChain · TypeSafe](https://github.com/langchain-ai/langchain) · 146,779 Star
-- [AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund) · 63,642 Star
-- [LiteLLM · JEV Router](https://github.com/BerriAI/litellm) · 59,305 Star
-- [Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi) · 32,236 Star
-- [Jev Model Router](https://github.com/davila7/claude-code-templates) · 30,870 Star
-- [Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio) · 30,268 Star
-- [Vercel AI SDK · TypeSafe](https://github.com/vercel/ai) · 26,870 Star
-- [Cua · JEV Use](https://github.com/trycua/cua) · 25,422 Star
-- [Openwork](https://github.com/different-ai/openwork) · 23,682 Star
-- [Pydantic AI · TypeSafe](https://github.com/pydantic/pydantic-ai) · 20,084 Star
-- [Eliza · TypeSafe Client](https://github.com/elizaOS/eliza) · 19,404 Star
-- [LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs) · 18,215 Star
-- [json-render · JEV Compose](https://github.com/vercel-labs/json-render) · 17,731 Star
-- [Jev Ultrafast](https://github.com/browser-use/jev-ultrafast) · 13,811 Star
-- [QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger) · 11,883 Star
-- [OpenChamber · JEV Router](https://github.com/openchamber/openchamber) · 10,213 Star
-- [Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig) · 8,691 Star
-- [Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate) · 6,889 Star
-- [Laya](https://github.com/NandhaKishorM/laya) · 6,688 Star
-- [Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction) · 5,719 Star
-- [Eve](https://github.com/vercel/eve) · 5,291 Star
-- [Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway) · 4,953 Star
-- [Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm) · 4,665 Star
-- [Ax · TypeSafe Client](https://github.com/ax-llm/ax) · 2,934 Star
-- [SemIf](https://github.com/TheoLeeCJ/SemIf) · 2,749 Star
-- [JEV Trader](https://github.com/jarrodwatts/jev-trader) · 1,672 Star
-- [NanoJev](https://github.com/TianyuCodings/NanoJev) · 1,672 Star
-- [Kev 0.5B](https://github.com/jaredpalmer/kev) · 1,530 Star
-- [TypeSafe Skills](https://github.com/typesafe-ai/skills) · 1,388 Star
-- [Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop) · 1,378 Star
-- [Nimble](https://github.com/bespokelabsai/nimble) · 1,357 Star
-- [Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant) · 1,293 Star
-- [NewsJack](https://github.com/elvisun/newsjack) · 1,271 Star
-- [Jevlike](https://github.com/vinnylarouge/jevlike) · 1,132 Star
-- [Celesto](https://github.com/CelestoAI/celesto) · 946 Star
-- [Atomic](https://github.com/bastani-inc/atomic) · 809 Star
-- [AI CLI](https://github.com/vercel-labs/ai-cli) · 808 Star
-- [Awesome JEV (yibie)](https://github.com/yibie/awesome-jev) · 805 Star
-- [Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe) · 742 Star
-- [TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use) · 693 Star
-- [Aiavatarkit](https://github.com/uezo/aiavatarkit) · 678 Star
-- [Kody](https://github.com/kentcdodds/kody) · 659 Star
-- [LocalJev](https://github.com/githubnext/localjev) · 657 Star
-- [TipTour macOS](https://github.com/milind-soni/tiptour-macos) · 627 Star
-- [Agent](https://github.com/AgentiLoop/Agent) · 618 Star
-- [Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools) · 599 Star
-- [Req LLM](https://github.com/agentjido/req_llm) · 580 Star
-- [Omg.dev](https://github.com/BennyKok/omg.dev) · 533 Star
-- [Jev CU](https://github.com/Sac-Y/Jev-cu) · 519 Star
-- [Splash](https://github.com/incoai/splash) · 506 Star
-- [Foreman](https://github.com/thruwire/foreman) · 446 Star
-- [Jev Review](https://github.com/devagrawal09/jev-review) · 438 Star
-- [Simple JEV](https://github.com/featherless-ai/simple-jev) · 428 Star
-- [Vexjoy Agent](https://github.com/notque/vexjoy-agent) · 421 Star
-- [Smithers](https://github.com/smithersai/smithers) · 418 Star
-- [Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe) · 414 Star
-- [Classifier.dev](https://github.com/mrmps/classifier-dev) · 396 Star
-- [Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent) · 395 Star
-- [Jev Experiments](https://github.com/dabit3/jev-experiments) · 352 Star
-- [JEV Search](https://github.com/superagents-lab/jev-search) · 352 Star
-- [Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills) · 335 Star
-- [WrongStack](https://github.com/WrongStack/WrongStack) · 329 Star
-- [Instructor Php](https://github.com/cognesy/instructor-php) · 327 Star
-- [Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier) · 314 Star
-- [TypeSafe Mario](https://github.com/fhshaik/typesafe-mario) · 314 Star
-- [Mobile JEV](https://github.com/droidrun/mobile-jev) · 304 Star
-- [Von](https://github.com/wfzyx/von) · 297 Star
-- [Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev) · 292 Star
-- [JEV Browser Use](https://github.com/wy-coliney/jev-browser-use) · 291 Star
-- [JEV Router](https://github.com/gargpratyush/jev-router) · 283 Star
-- [Orchestkit](https://github.com/yonatangross/orchestkit) · 280 Star
-- [Third Hand](https://github.com/shhivv/third-hand) · 270 Star
-- [Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects) · 264 Star
-- [Pg JEV](https://github.com/realZachi/pg-jev) · 259 Star
-- [jev-align](https://github.com/sutro-sh/jev-align) · 253 Star
-- [Openai Scala Client](https://github.com/cequence-io/openai-scala-client) · 248 Star
-- [Openjev](https://github.com/razorback16/openjev) · 245 Star
-- [OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang) · 245 Star
-- [Pi Fabric](https://github.com/monotykamary/pi-fabric) · 241 Star
-- [OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0) · 221 Star
-- [Skillbox](https://github.com/kitze/skillbox) · 220 Star
-- [System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python) · 218 Star
-- [JEV Browser](https://github.com/jkudish/jev-browser) · 209 Star
-- [Abide](https://github.com/coldteadotai/abide) · 199 Star
-- [Notra](https://github.com/usenotra/notra) · 199 Star
-- [JEV MCP](https://github.com/jkudish/jev-mcp) · 196 Star
-- [TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js) · 196 Star
-- [JEV Visual](https://github.com/hr98w/jev-visual) · 192 Star
-- [JEV Review](https://github.com/NiazMorshed2007/jev-review) · 191 Star
-- [JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser) · 187 Star
-- [OpenWhisper](https://github.com/Knuckles92/OpenWhisper) · 187 Star
-- [Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev) · 185 Star
-- [Jeff](https://github.com/logan-markewich/jeff) · 183 Star
-- [Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev) · 181 Star
-- [Decider](https://github.com/Mapika/decider) · 180 Star
-- [Interlinked CLI](https://github.com/QuentinCody/interlinked-cli) · 178 Star
-- [TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp) · 173 Star
-- [TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python) · 171 Star
-- [Perch](https://github.com/lakeday-org/perch) · 167 Star
-- [Runline](https://github.com/Michaelliv/runline) · 162 Star
-- [Compact Adviser](https://github.com/kunchenguid/compact-adviser) · 157 Star
-- [djev-spark](https://github.com/mmastrac/djev-spark) · 152 Star
-- [Unclutter](https://github.com/kitze/unclutter) · 152 Star
-- [Jevpilot](https://github.com/standardagents/jevpilot) · 143 Star
-- [AI](https://github.com/hackclub/ai) · 133 Star
-- [Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery) · 131 Star
-- [Pi JEV](https://github.com/y0usaf/pi-jev) · 131 Star
-- [JEV Pruner](https://github.com/tamaratran/jev-pruner) · 130 Star
-- [Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill) · 128 Star
-- [JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router) · 125 Star
-- [JevRouter](https://github.com/BillionsBobby/JevRouter) · 125 Star
-- [jev-semgrep](https://github.com/uehaj/jev-semgrep) · 122 Star
-- [Effect Agent](https://github.com/danieljvdm/effect-agent) · 121 Star
-- [Pi Warden](https://github.com/DevMortimer/pi-warden) · 118 Star
-- [Taskuary](https://github.com/ldbumble/taskuary) · 116 Star
-- [Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe) · 115 Star
-- [Awesome Jev](https://github.com/hellogumbo/awesome-jev) · 109 Star
-- [Skillranker](https://github.com/Dicklesworthstone/skillranker) · 107 Star
-- [Stanley Code](https://github.com/devagrawal09/stanley-code) · 106 Star
-- [JEV Eval Agent](https://github.com/vinilana/jev-eval-agent) · 99 Star
-- [Formanator](https://github.com/timrogers/formanator) · 98 Star
-- [JEV Drone](https://github.com/RomanSlack/jev-drone) · 96 Star
-- [Reflex](https://github.com/kshetrajna12/reflex) · 91 Star
-- [Bluenoise](https://github.com/rokcso/bluenoise) · 90 Star
-- [Dasheng](https://github.com/wquguru/dasheng) · 90 Star
-- [Advocaat](https://github.com/pithings/advocaat) · 88 Star
-- [Supercov](https://github.com/supercorp-ai/supercov) · 85 Star
-- [Open JEV](https://github.com/daseinlabs/open-jev) · 82 Star
-- [Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe) · 81 Star
-- [Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection) · 81 Star
-- [JEV Shell History](https://github.com/mrnugget/jev-shell-history) · 80 Star
-- [JEV Use](https://github.com/savka777/jev-use) · 79 Star
-- [jev-gateway](https://github.com/vinilana/jev-gateway) · 79 Star
-- [Jevmeter](https://github.com/ChetasLua/jevmeter) · 77 Star
-- [Captaincore](https://github.com/CaptainCore/captaincore) · 71 Star
-- [JEV Chat](https://github.com/w3cj/jev-chat) · 71 Star
-- [Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev) · 68 Star
-- [JEV Trade](https://github.com/aowang-ai/jev-trade) · 68 Star
-- [Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev) · 66 Star
-- [TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock) · 64 Star
-- [JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser) · 62 Star
-- [Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean) · 62 Star
-- [Agent Router](https://github.com/nidhi-singh02/agent-router) · 58 Star
-- [jegrep](https://github.com/can1357/jegrep) · 57 Star
-- [Neo4JEV](https://github.com/jexp/neo4jev) · 57 Star
-- [Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent) · 54 Star
-- [Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev) · 52 Star
+<a id="browser-computer-use"></a>
+### 浏览器与电脑操作 (14)
+
+- **[Cua · JEV Use](https://github.com/trycua/cua)** · 25.4K Star — 把 Cua Driver 的观察与执行能力和 JEV 的有限动作选择结合起来。 [源码证据](https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11)
+- **[Jev Ultrafast](https://github.com/browser-use/jev-ultrafast)** · 13.8K Star — 用 JEV 一次选出浏览器动作与对应 DOM 元素，只在需要输入文本时再调用文本模型。 [源码证据](https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py)
+- **[Agent Desktop · JEV Skill](https://github.com/lahfir/agent-desktop)** · 1.4K Star — 根据系统无障碍数据选择原生桌面控件与动作的可选 JEV Skill。 [源码证据](https://github.com/lahfir/agent-desktop/blob/7a8e4a10281c7319733aa200fd79501f34529716/scripts/jev/act.mjs)
+- **[TypeSafe Computer Use](https://github.com/awlevin/typesafe-computer-use)** · 693 Star — 用 OCR 和界面状态构造候选动作，让 Jev 决定如何操作 macOS，需要写文字时再调用文本模型。 [源码证据](https://github.com/awlevin/typesafe-computer-use/blob/cc7b5066ae1a07b5e3182e8f87a9b5b6dfdcffc1/typesafe_computer_use/decide.py)
+- **[Omg.dev](https://github.com/BennyKok/omg.dev)** · 533 Star — omg.dev 的移动端测试脚本可让 Jev 读取可访问性树并选择下一步交互。 [源码证据](https://github.com/BennyKok/omg.dev/blob/a00f56684a569ee417be787c148eaa9874946f2b/mobile/scripts/jev.ts)
+- **[Jev CU](https://github.com/Sac-Y/Jev-cu)** · 519 Star — 用 JEV 决定下一步界面动作的 Computer Use 辅助工具。 [源码证据](https://github.com/Sac-Y/Jev-cu/blob/38fb31de7dfe6209bbe6e04057c00c6e885ba577/scripts/jev-decide.mjs)
+- **[Mobile JEV](https://github.com/droidrun/mobile-jev)** · 304 Star — 通过 Mobilerun 控制 Android 手机，网页面板与命令行可查看 Jev 的操作过程。 [源码证据](https://github.com/droidrun/mobile-jev/blob/395fc222beac4f059f9a0beb337d114a2b066e99/scripts/mobile-agent/policy.mjs#L224)
+- **[JEV Browser Use](https://github.com/wy-coliney/jev-browser-use)** · 291 Star — 给 Codex 浏览器工作流加一个 Skill：Jev 选导航、点击和滚动，Codex 保留文字输入与最终核验。 [源码证据](https://github.com/wy-coliney/jev-browser-use/blob/f14b60e0ae1ee90cd73eb6650e30a666a84c021a/skills/jev-browser-use/bridge.mjs)
+- **[Third Hand](https://github.com/shhivv/third-hand)** · 270 Star — Swift 客户端栈：在驱动本地 computer-use 辅助逻辑时调用 JEV。 [源码证据](https://github.com/shhivv/third-hand/blob/430394b35dbb44ff8b303bf19da29b0828d92bd2/Sources/ThirdHand/JevClient.swift)
+- **[JEV Browser](https://github.com/jkudish/jev-browser)** · 209 Star — 给定任务与网址后驱动浏览器，返回最终页面、截图和逐步操作记录。 [源码证据](https://github.com/jkudish/jev-browser/blob/8d90c51bedbe7cd07596bfaa532ded019a31d2a8/src/navigate.ts#L1)
+- **[JEV Voice Browser](https://github.com/moritzkremb/jev-voice-browser)** · 187 Star — 用语音控制 Playwright 浏览器，将逐步转写的口令交给 Jev 判断。 [源码证据](https://github.com/moritzkremb/jev-voice-browser/blob/054db0f3dbf537af63a8117632d3f941ccd520e1/src/jev.js#L123)
+- **[JEV Use](https://github.com/savka777/jev-use)** · 79 Star — 无需视觉模型、通过无障碍控件操作 macOS 的 Computer Use 工具。 [源码证据](https://github.com/savka777/jev-use/blob/8907f85354addfa3d2b78f6a462087e4c73310b8/README.md)
+- **[TypeSafe Adblock](https://github.com/realZachi/typesafe-adblock)** · 64 Star — 一个实验性 Chrome 扩展，让 Jev 判断候选 DOM 元素是否是广告，再高亮或移除。 [源码证据](https://github.com/realZachi/typesafe-adblock/blob/7e067d243d87b7fe4d511653c0ddcd77b9beee18/src/typesafe.js)
+- **[JEV Browser](https://github.com/Ying-Kai-Liao/jev-browser)** · 62 Star — 把 LLM 规划与 JEV 动作结合的浏览器自动化库、CLI 与 MCP Server。 [源码证据](https://github.com/Ying-Kai-Liao/jev-browser/blob/578cff6e701a131733d03256078bb559a45ad188/src/jev.mjs)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="sdk-integrations"></a>
+### SDK 与框架集成 (23)
+
+- **[LangChain · TypeSafe](https://github.com/langchain-ai/langchain)** · 146.8K Star — 面向 Python LangChain 工作流的可选 JEV 分类器集成。 [源码证据](https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py)
+- **[Composio · TypeSafe Provider](https://github.com/ComposioHQ/composio)** · 30.3K Star — 用 JEV 在工具与有限参数选项之间做选择的 TypeSafe Provider。 [源码证据](https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts)
+- **[Vercel AI SDK · TypeSafe](https://github.com/vercel/ai)** · 26.9K Star — AI SDK 的 TypeSafe Provider 通过统一 evaluate 接口调用 JEV。 [源码证据](https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts)
+- **[Pydantic AI · TypeSafe](https://github.com/pydantic/pydantic-ai)** · 20.1K Star — 把受支持的结构化输出映射为 JEV 问题的 TypeSafe 模型集成。 [源码证据](https://github.com/pydantic/pydantic-ai/blob/c4898abb54dc25ae6f6aef208a4c0661b30a455e/pydantic_ai_slim/pydantic_ai/models/typesafe.py)
+- **[Eliza · TypeSafe Client](https://github.com/elizaOS/eliza)** · 19.4K Star — Eliza Agent 操作系统中的可选 TypeSafe HTTP 适配器。 [源码证据](https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts)
+- **[LangChain.js · TypeSafe](https://github.com/langchain-ai/langchainjs)** · 18.2K Star — 面向 JavaScript LangChain 工作流的 TypeSafeClassifier 集成。 [源码证据](https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts)
+- **[Rig · TypeSafe Crate](https://github.com/0xPlaygrounds/rig)** · 8.7K Star — 用 Rust 类型表达 JEV 问题与答案的实验性 crate。 [源码证据](https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40)
+- **[Ax · TypeSafe Client](https://github.com/ax-llm/ax)** · 2.9K Star — 支持布尔、有限分类以及原生 JEV 请求的 TypeSafe 集成。 [源码证据](https://github.com/ax-llm/ax/blob/5c43344f9ef3016db576fa2c3b59d48ef21b4d71/src/ax/ai/typesafe/client.ts#L1)
+- **[Vellum Assistant · JEV](https://github.com/vellum-ai/vellum-assistant)** · 1.3K Star — 提交会话状态与显式问题的可选 JEV Provider。 [源码证据](https://github.com/vellum-ai/vellum-assistant/blob/ee5ba342719e72b67698c2e1a4a78837321d0b1d/assistant/src/providers/jev/client.ts)
+- **[Req LLM](https://github.com/agentjido/req_llm)** · 580 Star — ReqLLM 的 TypeSafe provider，让 Elixir 应用通过 evaluate 接口调用 Jev。 [源码证据](https://github.com/agentjido/req_llm/blob/9cb0ee7a0fea5f3520fc953911d352c93193615e/README.md)
+- **[Simple JEV](https://github.com/featherless-ai/simple-jev)** · 428 Star — 将任意开源大语言模型转化为分类器与 Jev 兼容端点的适配服务，无需额外训练专用分类头。 [源码证据](https://github.com/featherless-ai/simple-jev/blob/0dd5396ffce671ab7c4bfc031506d8e558cf8d23/demos/jevpilot/src/simple-jev-api.js#L1-L85)
+- **[Classifier.dev](https://github.com/mrmps/classifier-dev)** · 396 Star — 以 JEV 为主要类型化决策后端的零样本分类服务。 [源码证据](https://github.com/mrmps/classifier-dev/blob/33ca63816f2bc7e93c3f2d0715f7896500370739/src/jev.ts)
+- **[Instructor Php](https://github.com/cognesy/instructor-php)** · 327 Star — Instructor PHP 的 Polyglot 模块内置 TypeSafe Decision 驱动。 [源码证据](https://github.com/cognesy/instructor-php/blob/bb1160ce2360dcf1434788c46ee97809fe782ea3/README.md)
+- **[Openai Scala Client](https://github.com/cequence-io/openai-scala-client)** · 248 Star — 让 Scala 应用也能接入 Jev。这个多模型客户端新增了独立 TypeSafe 模块，用状态和判断题获取结构化答案。 [源码证据](https://github.com/cequence-io/openai-scala-client/blob/cfabe8842344da713615d0121a7804840649eb46/README.md)
+- **[Openjev](https://github.com/razorback16/openjev)** · 245 Star — 一个兼容 Jev System One 接口的独立决策服务，使用开源 DiffusionGemma 模型运行。 [源码证据](https://github.com/razorback16/openjev/blob/91d5005effcf8cc0ecccaa9538ceabbb130fef59/openjev/api.py)
+- **[Pi Fabric](https://github.com/monotykamary/pi-fabric)** · 241 Star — 给 Pi 的工具运行时加上可编程的 Jev 决策循环。先写好观察、判断和执行步骤，再让它按预算在前台或后台运行。 [源码证据](https://github.com/monotykamary/pi-fabric/blob/2e5fcdd94cc364445b115756edefcaab24f68928/README.md)
+- **[System One Adapter (Python)](https://github.com/typesafe-ai/system-one-adapter-python)** · 218 Star — 可替换 TypeSafeClient 的适配器，用普通 LLM API 承接 System One 调用。 [源码证据](https://github.com/typesafe-ai/system-one-adapter-python/blob/adffc2eab300a4fa3c0e92252d4ffd6ceaa53700/src/system_one_adapter/_client.py)
+- **[TypeSafe SDK Js](https://github.com/typesafe-ai/typesafe-sdk-js)** · 196 Star — TypeSafe 组织发布的 JavaScript 与 TypeScript SDK，提供 Jev 请求和回答类型。 [源码证据](https://github.com/typesafe-ai/typesafe-sdk-js/blob/66880ccded6cb642dc1809620c2b108c33730214/README.md)
+- **[TypeSafe SDK Python](https://github.com/typesafe-ai/typesafe-sdk-python)** · 171 Star — TypeSafe 官方 Python SDK，提供 Jev System One 的同步、异步客户端及问题和回答类型。 [源码证据](https://github.com/typesafe-ai/typesafe-sdk-python/blob/2ce5c65f13646cab6e6f782328194c9d85f3300a/src/typesafe_sdk/_core/client/sync/client.py#L206-L221)
+- **[Runline](https://github.com/Michaelliv/runline)** · 162 Star — Runline 的 TypeSafe 插件，把 Jev 判断作为 Agent JavaScript 可调用的动作。 [源码证据](https://github.com/Michaelliv/runline/blob/6bdddfa82cd95b6b9a07e57fd93a271ae83a0d1b/README.md)
+- **[AI](https://github.com/hackclub/ai)** · 133 Star — Hack Club AI 代理中的 Jev 转发接口，复用已有鉴权、限额和用量记录。 [源码证据](https://github.com/hackclub/ai/blob/a76ea2cb159f707a60107935a5b2e0dbdc7455f5/README.md)
+- **[Effect Agent](https://github.com/danieljvdm/effect-agent)** · 121 Star — Effect Agent 的 TypeSafe 决策 provider，支持类型化问题集与可选模型选择。 [源码证据](https://github.com/danieljvdm/effect-agent/blob/88005e497e9b627eeb16d670f278903c57601da9/README.md)
+- **[Advocaat](https://github.com/pithings/advocaat)** · 88 Star — 用简短的 TypeScript 调用向 Jev 提问。把同一份数据里的多个判断一次写好，直接拿到概率、选项和分数。 [源码证据](https://github.com/pithings/advocaat/blob/bc46287fc1102b95852a81d679c6e34a2c44f4a2/README.md)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="routing-optimization"></a>
+### 路由与优化 (14)
+
+- **[LiteLLM · JEV Router](https://github.com/BerriAI/litellm)** · 59.3K Star — LiteLLM 可在按复杂度路由模型的策略中使用 JEV。 [源码证据](https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70)
+- **[Oh My Pi · JEV Judgments](https://github.com/can1357/oh-my-pi)** · 32.2K Star — 在编码 Agent 中提供可选 TypeSafe 判断器，处理有边界的工作流决策。 [源码证据](https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4)
+- **[OpenChamber · JEV Router](https://github.com/openchamber/openchamber)** · 10.2K Star — 在选择模型前先对消息分类的可选自动路由器。 [源码证据](https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js)
+- **[Firstmate · JEV Dispatch](https://github.com/kunchenguid/firstmate)** · 6.9K Star — 可用 JEV 把任务简报匹配到调度规则的 Agent 团队调度器。 [源码证据](https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh)
+- **[Atomic](https://github.com/bastani-inc/atomic)** · 809 Star — Atomic 编程 Agent 的可选 Jev 决策后端，为路由等流程提供受限的结构化选择。 [源码证据](https://github.com/bastani-inc/atomic/blob/33ca4ccb5f39488aeba67c0212a52a31cd14059d/packages/coding-agent/src/core/structured-output/jev.ts)
+- **[Vexjoy Agent](https://github.com/notque/vexjoy-agent)** · 421 Star — 给 VexJoy 的任务分派增加一条 Jev 路线。输入需求后，判断该选哪位专长 Agent、哪项技能和哪条工作流。 [源码证据](https://github.com/notque/vexjoy-agent/blob/ab51ee7da567e84f72f76d73b6e7b83cec5ef060/README.md)
+- **[Hermes JEV Skills](https://github.com/kerpopule/hermes-jev-skills)** · 335 Star — 为 Hermes Agent 提供 JEV 驱动的路由、记忆、压缩、Skill 选择与电脑/浏览器操作。 [源码证据](https://github.com/kerpopule/hermes-jev-skills/blob/a5d89014fbeca5102c5e7ccd3915afcd856505d8/jevkit/choose.py)
+- **[WrongStack](https://github.com/WrongStack/WrongStack)** · 329 Star — 给 WrongStack 编程 Agent 增加一个可选分派助手。遇到多个相近的专长 Agent 时，用 Jev 判断谁更适合当前任务。 [源码证据](https://github.com/WrongStack/WrongStack/blob/4cf97c0aa4f855751949ee8e99c719d06f4c26e0/README.md)
+- **[JEV Router](https://github.com/gargpratyush/jev-router)** · 283 Star — Claude Code / CLI 代理：Jev 给任务复杂度打分，并在当前账号可用的模型里选一个，再由本地策略决定是否更换。 [源码证据](https://github.com/gargpratyush/jev-router/blob/38da6b84ea01241bfc41fbddc0928d0f40a703f0/src/policy.mjs#L1-L63)
+- **[Skillbox](https://github.com/kitze/skillbox)** · 220 Star — 自建一个有版本管理的 Agent 技能库，还能选配 Jev 推荐：告诉它当前任务，从你有权限使用的技能里挑更相关的。 [源码证据](https://github.com/kitze/skillbox/blob/d83ba4ecd254c8dfa6a759d1feb5141384e26a9e/README.md)
+- **[JEV Codex Router](https://github.com/0xNatoshi/jev-codex-router)** · 125 Star — 每轮先让 Jev 判断任务类型与难度，再由本地策略为 Codex 选模型、思考深度和速度档。 [源码证据](https://github.com/0xNatoshi/jev-codex-router/blob/8292b519659280884627a962c826ac7721136a64/server/jev_server.py)
+- **[JevRouter](https://github.com/BillionsBobby/JevRouter)** · 125 Star — 用于模型、工具与子 Agent 的轻量 JEV 路由器。 [源码证据](https://github.com/BillionsBobby/JevRouter/blob/715970774ae8070e958e83ac9b1a780b32a9184c/src/provider.ts)
+- **[Grok Bot JEV](https://github.com/Bodila51/grok-bot-jev)** · 68 Star — 为 Grok Bot 提供用量闸门与 Skill 模板的 JEV 决策层。 [源码证据](https://github.com/Bodila51/grok-bot-jev/blob/1583e09928c138aeac0aa89818c67ea41f08e807/README.md)
+- **[Agent Router](https://github.com/nidhi-singh02/agent-router)** · 58 Star — 用 JEV 把任务路由到编码 Agent、模型与推理强度的 CLI。 [源码证据](https://github.com/nidhi-singh02/agent-router/blob/ad7571f38ea31ffbf3c28391f9e6d6383a7c08ba/packages/router/src/semantic/typesafe-client.ts)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="open-models"></a>
+### 开放模型 (17)
+
+- **[Laya](https://github.com/NandhaKishorM/laya)** · 6.7K Star — 多语言非自回归 System 1 决策引擎：单次前向完成类型化 choice/score/noul，并由路由在检查点间选型。 [源码证据](https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md)
+- **[SemIf](https://github.com/TheoLeeCJ/SemIf)** · 2.7K Star — 用开放模型实现“语义 if”接口模式的独立研究项目。 [源码证据](https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md)
+- **[NanoJev](https://github.com/TianyuCodings/NanoJev)** · 1.7K Star — 提供并行判断、动态候选与完整训练流程的 0.6B 开放 JEV 接口复刻。 [源码证据](https://github.com/TianyuCodings/NanoJev/blob/71a513bb0163b5634467842b523ee0c0ed6fb1c7/README.md)
+- **[Kev 0.5B](https://github.com/jaredpalmer/kev)** · 1.5K Star — 基于 Qwen2.5-0.5B、可在 MacBook 上训练运行的轻量决策模型。 [源码证据](https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md)
+- **[Nimble](https://github.com/bespokelabsai/nimble)** · 1.4K Star — 面向本地类型化决策、数据整理与评测的开放工具包。 [源码证据](https://github.com/bespokelabsai/nimble/blob/35fe1f4fdbc64fa3dbbf5ac0042f3f5680c1ad28/README.md)
+- **[Jevlike](https://github.com/vinnylarouge/jevlike)** · 1.1K Star — 一次为动态文本或视觉候选列表评分的独立入门模型。 [源码证据](https://github.com/vinnylarouge/jevlike/blob/94f5fd1b0b11d52bbdfdf4e0ee6aa96b568f8452/README.md)
+- **[LocalJev](https://github.com/githubnext/localjev)** · 657 Star — 基于多种本地小模型、提供 JEV 兼容接口与评测的本地服务。 [源码证据](https://github.com/githubnext/localjev/blob/3f23e36e1a3bff46c7e83e8e3781d3512bc82021/README.md)
+- **[Splash](https://github.com/incoai/splash)** · 506 Star — 面向决策类模型的本地 Apple Silicon 推理引擎。 [源码证据](https://github.com/incoai/splash/blob/f53d5ab543a7accdc332c060fd594a693f33f529/README.md)
+- **[Von](https://github.com/wfzyx/von)** · 297 Star — 提供 JEV 兼容接口的本地开放 System One 决策模型。 [源码证据](https://github.com/wfzyx/von/blob/14d09878e89b103bfbbe641f9bed02e4d72c8830/README.md)
+- **[OpenJEV SGLang](https://github.com/ekzhang/openjev-sglang)** · 245 Star — 基于开源模型的 JEV 兼容 API，采用 prefill-only 服务路径。 [源码证据](https://github.com/ekzhang/openjev-sglang/blob/604664a22b2cf44c6cc499e503092ae4e3c24c03/src/openjev/__init__.py)
+- **[OpenJEV Verdict 2.0](https://github.com/Heman10x-NGU/openJev-verdict-2.0)** · 221 Star — 约 151M 的校准非自回归本地决策引擎，目标对齐类 JEV 类型化答案。 [源码证据](https://github.com/Heman10x-NGU/openJev-verdict-2.0/blob/a458733c5f43fc7f30b6e4381636cbfbf8437633/openjev/__init__.py)
+- **[JEV Visual](https://github.com/hr98w/jev-visual)** · 192 Star — 在 Apple Silicon 上的教学向类 JEV 视觉推理实验，共享上下文直接给候选打分。 [源码证据](https://github.com/hr98w/jev-visual/blob/19af545f096e8db4c4dd5d47aed42d92ec252111/jev_visual/scoring.py)
+- **[Jeff](https://github.com/logan-markewich/jeff)** · 183 Star — 基于 GliFormer、可自托管的 JEV 兼容服务。 [源码证据](https://github.com/logan-markewich/jeff/blob/34b32f99a727c47b679adde33f4702a001e02979/README.md)
+- **[Decider](https://github.com/Mapika/decider)** · 180 Star — 一次前向的类型化决策与校准概率，基于 Qwen3.5-2B 微调。 [源码证据](https://github.com/Mapika/decider/blob/c4daaac28af9fea95d627015cffa2dd5a5926ee6/decider/__init__.py)
+- **[djev-spark](https://github.com/mmastrac/djev-spark)** · 152 Star — 在 DGX Spark 上跑 DiffusionGemma NVFP4 结构化决策的容器配方。 [源码证据](https://github.com/mmastrac/djev-spark/blob/1444f3e927f83ba508e5b28a4fd4fdd9ecd0976b/README.md)
+- **[Reflex](https://github.com/kshetrajna12/reflex)** · 91 Star — 在 Qwen 上复现 JEV/System One 接口的小型开放决策模型。 [源码证据](https://github.com/kshetrajna12/reflex/blob/e21b3b23afdfeee7021a6604fa38f57e7ff5187f/README.md)
+- **[Open JEV](https://github.com/daseinlabs/open-jev)** · 82 Star — 支持自定义微调的开放 JEV 风格实现。 [源码证据](https://github.com/daseinlabs/open-jev/blob/8a4fbdf712e78c5ef45509a16aacb81facdd79be/README.md)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="search-data"></a>
+### 搜索与数据 (9)
+
+- **[Kody](https://github.com/kentcdodds/kody)** · 659 Star — 可选的二段检索：先扩大混合召回，再用 Cloudflare Workers AI 上的 `typesafe/jev` Score 重排。 [源码证据](https://github.com/kentcdodds/kody/blob/ed9275186dc817530dd2289e62c208ac3809391f/packages/worker/src/mcp/tools/search-jev-rerank.ts)
+- **[Jev Experiments](https://github.com/dabit3/jev-experiments)** · 352 Star — 包含意图搜索与 Agent Assist 流程的一组 JEV 实验。 [源码证据](https://github.com/dabit3/jev-experiments/tree/c469e5bfdc73eb3e1999bba2569e66b579a970fd/agent-assist)
+- **[JEV Search](https://github.com/superagents-lab/jev-search)** · 352 Star — 用自然语言搜网页：Jev 选择搜索来源和时间范围，再给返回的链接排序。 [源码证据](https://github.com/superagents-lab/jev-search/blob/522868762f0637b20bf533f136e930cceb83b9f3/src/lib/typesafe.ts#L48)
+- **[Tax Document Classifier](https://github.com/kyotofin/tax-doc-classifier)** · 314 Star — 把税务文档页面归入预先定义的 IRS 表格目录。 [源码证据](https://github.com/kyotofin/tax-doc-classifier/blob/6afcf701395466d7c936ec8178daf017b9d96b0c/src/backend.ts)
+- **[Pg JEV](https://github.com/realZachi/pg-jev)** · 259 Star — 在 PostgreSQL 查询中用自然语言给数据行筛选、分类和排序。 [源码证据](https://github.com/realZachi/pg-jev/blob/afd11fa856d7a2b831a1bfd8ee7f869ce8efcd62/sql/jev--0.2.0.sql)
+- **[jev-semgrep](https://github.com/uehaj/jev-semgrep)** · 122 Star — 支持跨语言 AND、OR、NOT 与概率阈值的“按意思搜索”grep。 [源码证据](https://github.com/uehaj/jev-semgrep/blob/ba6ef50f85d0c5d6caa4db102ee4db4a08c85dd2/README.md)
+- **[Pg TypeSafe](https://github.com/giuliosmall/pg_typesafe)** · 81 Star — 一个预览阶段的 PostgreSQL C 扩展，让 SQL 直接调用 Jev 做分类、是非判断和评分。 [源码证据](https://github.com/giuliosmall/pg_typesafe/blob/4b5bfc1df11b18c3f07bb10804eeb47e4508ec6a/typesafe.c)
+- **[jegrep](https://github.com/can1357/jegrep)** · 57 Star — 面向实时代码树的语义 grep：用自然语言描述目标，无需建索引即可返回文件与原始行号范围。 [源码证据](https://github.com/can1357/jegrep/blob/a280f14f6da8163bde67e0c49f58b23517a02882/src/jev.rs)
+- **[Neo4JEV](https://github.com/jexp/neo4jev)** · 57 Star — 使用 JEV 判断下一条关系的 Neo4j 图导航器。 [源码证据](https://github.com/jexp/neo4jev/blob/d157bbe496eb91813475156942bef1c6badfb342/src/neo4jev/navigator.py)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="safety-review"></a>
+### 安全与审查 (12)
+
+- **[Agentgateway · JEV Guardrail](https://github.com/agentgateway/agentgateway)** · 5.0K Star — 用 JEV Webhook 检查模型请求与响应的 Guardrail 示例。 [源码证据](https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts)
+- **[Latitude · JEV Preclassifier](https://github.com/latitude-dev/latitude-llm)** · 4.7K Star — 选择一段会话应执行哪些检查的可选 JEV 预分类器。 [源码证据](https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1)
+- **[Agent](https://github.com/AgentiLoop/Agent)** · 618 Star — 原生 macOS Agent 内的可选 Jev 命令风险顾问，配有 TypeSafeKit 客户端。 [源码证据](https://github.com/AgentiLoop/Agent/blob/078f87ceca1d1190cc73706ac8ec16442e766a27/README.md)
+- **[jev-align](https://github.com/sutro-sh/jev-align)** · 253 Star — 用人工正反例和 GEPA 校准 JEV 分类标准的 CLI。 [源码证据](https://github.com/sutro-sh/jev-align/blob/49753df924d30c0d3642b58e0b9b1e89921dc102/README.md)
+- **[Abide](https://github.com/coldteadotai/abide)** · 199 Star — 为普通 Linter 难以表达的项目规则增加 Agent 级约束。 [源码证据](https://github.com/coldteadotai/abide/blob/ec3352e873163b74aca1ac9cf3bd0ea69a97723a/README.md)
+- **[Interlinked CLI](https://github.com/QuentinCody/interlinked-cli)** · 178 Star — Interlinked 在编程 Agent 的本地检查之外，提供可选 Jev 判断与证据检查。 [源码证据](https://github.com/QuentinCody/interlinked-cli/blob/207330d8131c5203ecc74e9fd4c24ba416463718/src/harness/jev/client.ts#L14)
+- **[Unclutter](https://github.com/kitze/unclutter)** · 152 Star — 用 Jev 帮浏览器扩展识别网页中的广告、促销与订阅弹窗，并保存可复用的隐藏规则。 [源码证据](https://github.com/kitze/unclutter/blob/9ef9beccc1e57b4e3115ae68644b8fc9c19c29f6/lib/jev.ts)
+- **[Pi JEV](https://github.com/y0usaf/pi-jev)** · 131 Star — Pi 编码 Agent 扩展：执行前提示工具风险，执行后检查秘密泄露与失败类型。 [源码证据](https://github.com/y0usaf/pi-jev/blob/b3478fd4ca1ac8ffcb703f6dc8d6069b555f531e/README.md)
+- **[Pi Warden](https://github.com/DevMortimer/pi-warden)** · 118 Star — 给 Pi Agent 加项目规则、越界操作、重复失败和完成声明的检查。 [源码证据](https://github.com/DevMortimer/pi-warden/blob/e6c801679464b1a9624225114eb5fb443c27d823/src/guard.ts)
+- **[Supercov](https://github.com/supercorp-ai/supercov)** · 85 Star — 使用 JEV 做有限质量检查的代码质量与覆盖率工具。 [源码证据](https://github.com/supercorp-ai/supercov/blob/55f5ce93a239829c224b89e6749991310be91ea4/crates/supercov-cli/src/quality.rs)
+- **[Captaincore](https://github.com/CaptainCore/captaincore)** · 71 Star — WordPress 运维工具 CaptainCore 的 Jev 命令，可询问结构化问题，并给恶意代码扫描结果排复核优先级。 [源码证据](https://github.com/CaptainCore/captaincore/blob/f54e0669350707b2f4f4c67a0130fdd6574bd0b5/cmd/typesafe.go)
+- **[Oxlint Plugin JEV](https://github.com/wobsoriano/oxlint-plugin-jev)** · 52 Star — 用 JEV 评估语义 Lint 规则的 Oxlint 插件。 [源码证据](https://github.com/wobsoriano/oxlint-plugin-jev/blob/18c5bc9097d88344382a98a78a67698c9c7ecf01/src/jev.ts)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="agent-workflows"></a>
+### Agent 工作流 (11)
+
+- **[Jev Model Router](https://github.com/davila7/claude-code-templates)** · 30.9K Star — 为 Claude Code 判断子 Agent 模型与推理强度的 Mod。 [源码证据](https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts)
+- **[Openwork](https://github.com/different-ai/openwork)** · 23.7K Star — 开源的 cowork 风格 Agent 工作区，可在 CI 与 Skill 流程里跑 JEV 驱动的审查。 [源码证据](https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs)
+- **[Eve](https://github.com/vercel/eve)** · 5.3K Star — Vercel 开源的 Agent 框架，用于打包 Skill、评测与带工具的工作流。 [源码证据](https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md)
+- **[NewsJack](https://github.com/elvisun/newsjack)** · 1.3K Star — 从实时新闻流中筛选品牌可跟进话题的开源 PR 工作流。 [源码证据](https://github.com/elvisun/newsjack/tree/092d882fc69912622f620c50eb493afe625f99dc/demos/news-desk-dealer)
+- **[Smithers](https://github.com/smithersai/smithers)** · 418 Star — 以 TypeScript 配置定义工作流的 Agent 框架，内置 JEV 分类路径。 [源码证据](https://github.com/smithersai/smithers/blob/394ada6a3fb815b4b62cfc7bc2242e238d42ff44/apps/server/src/jev.ts)
+- **[Compact Adviser](https://github.com/kunchenguid/compact-adviser)** · 157 Star — 编码 Agent 的 Skill/插件：建议何时压缩上下文以节省 token。 [源码证据](https://github.com/kunchenguid/compact-adviser/blob/d1655faa16a22b68bff60c3d7deb0123e1e52a53/packages/codex-plugin/skills/compact-adviser/SKILL.md)
+- **[JEV Pruner](https://github.com/tamaratran/jev-pruner)** · 130 Star — Claude Code 插件：在模型看到长 Bash 输出前，用 TypeSafe JEV 裁剪。 [源码证据](https://github.com/tamaratran/jev-pruner/blob/47d017c34eab7690b95f075ce6f4839247c5dc0a/src/jev.ts)
+- **[Skillranker](https://github.com/Dicklesworthstone/skillranker)** · 107 Star — 用 JEV 根据实时会话上下文排序 Agent Skills 的 Rust CLI。 [源码证据](https://github.com/Dicklesworthstone/skillranker/blob/16743e9f9dee04850d01015d8f5c863a4ed4d0ff/README.md)
+- **[Bluenoise](https://github.com/rokcso/bluenoise)** · 90 Star — 为 X/Twitter 过滤帖子与回复的浏览器扩展；默认用本地规则，可选择用 Jev 检查未匹配的回复。 [源码证据](https://github.com/rokcso/bluenoise/blob/ef81ea7a7c3677501d6de8f9235a4d6a866b573a/entrypoints/background.ts)
+- **[jev-gateway](https://github.com/vinilana/jev-gateway)** · 79 Star — 把 JEV 判断接入 Claude Code 与 Codex 工具流程的网关。 [源码证据](https://github.com/vinilana/jev-gateway/blob/9463952bf118773fb955427d2725a98f76546233/README.md)
+- **[Save Token JEV Clean](https://github.com/IAmUnbounded/save-token-jev-clean)** · 62 Star — 让 JEV 判断哪些历史应保留、截断或丢弃的上下文清理器。 [源码证据](https://github.com/IAmUnbounded/save-token-jev-clean/blob/a7007354a8d3747f06ff82130561edb2822a17df/src/client.ts)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="interfaces"></a>
+### 界面与自动化 (8)
+
+- **[json-render · JEV Compose](https://github.com/vercel-labs/json-render)** · 17.7K Star — 用 JEV 从预定义组件与属性中进行选择的 UI 组合实验。 [源码证据](https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts)
+- **[Aiavatarkit](https://github.com/uezo/aiavatarkit)** · 678 Star — AIAvatarKit 的可选 Jev 组件根据转写内容判断用户是否结束发言。 [源码证据](https://github.com/uezo/aiavatarkit/blob/38b617b8b9269939734e70ef503d7ea6976acdbd/aiavatar/sts/vad/turn_end_gates/jev.py#L172)
+- **[TipTour macOS](https://github.com/milind-soni/tiptour-macos)** · 627 Star — 由 JEV 或 Gemini Live 驱动的本地 macOS 电脑操作伴侣。 [源码证据](https://github.com/milind-soni/tiptour-macos/blob/52582467c883d66484542f3be8e259340eb524f1/README.md)
+- **[Notra](https://github.com/usenotra/notra)** · 199 Star — 把工作产物转成可发布内容的产品，并挂接 Agent Skill。 [源码证据](https://github.com/usenotra/notra/blob/f792a620ef1066b34665ec84c6f55fc9ca5d9954/README.md)
+- **[OpenWhisper](https://github.com/Knuckles92/OpenWhisper)** · 187 Star — 语音听写与会议记录应用，可选用 Jev 检查话题变化、面向记录助手的指令和敏感文本。 [源码证据](https://github.com/Knuckles92/OpenWhisper/blob/9e83653df183096104769e302a3c907cb277c551/README.md)
+- **[Youtube Sponsor Detection](https://github.com/trungdq88/youtube-sponsor-detection)** · 81 Star — 结合实时音频与字幕由 Jev 驱动的 YouTube 视频赞助广告片段检测与自动跳过扩展。 [源码证据](https://github.com/trungdq88/youtube-sponsor-detection/blob/de01f0568d043035889a296a61ce21e0accc8b16/extension/lib/jev.js#L1-L541)
+- **[Jevmeter](https://github.com/ChetasLua/jevmeter)** · 77 Star — 把视频转成带评分仪表的视频成片：Jev 按选定规则给字幕句子评分，再由渲染器叠加显示。 [源码证据](https://github.com/ChetasLua/jevmeter/blob/cbf8e117b5b8835e3294c3a8ee652c7dfa737a9a/jevmeter/score.py)
+- **[JEV Chat](https://github.com/w3cj/jev-chat)** · 71 Star — 由 JEV 仅从代码提供的回复与工具选项中选择的工具型聊天界面。 [源码证据](https://github.com/w3cj/jev-chat/blob/e543aba8c21b57a28a748ef41966502130f0f69e/apps/server/src/jev/pools.ts)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="developer-tools"></a>
+### 开发者工具 (27)
+
+- **[Fast Jev Compaction](https://github.com/tamaratran/fast-jev-compaction)** · 5.7K Star — 压缩 Claude Code 工具历史，同时原样保留仍有价值的内容。 [源码证据](https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts)
+- **[TypeSafe Skills](https://github.com/typesafe-ai/skills)** · 1.4K Star — 面向 TypeSafe System One / JEV API 的官方 Agent Skill 集合。 [源码证据](https://github.com/typesafe-ai/skills/blob/65a39f393687675ce170e6094757de20370365b9/skills/typesafe-ai/SKILL.md)
+- **[Celesto](https://github.com/CelestoAI/celesto)** · 946 Star — Celesto 的 PR 审查示例在沙盒中准备检查，再比较普通模型与 Jev 对候选问题的判断。 [源码证据](https://github.com/CelestoAI/celesto/blob/fff7bb567752baee4ce195fcb78b5ee5e4da889f/examples/pr-review-jev/models.py#L96)
+- **[AI CLI](https://github.com/vercel-labs/ai-cli)** · 808 Star — 终端生成 CLI，并附带可从命令行创作内容的 Agent Skill。 [源码证据](https://github.com/vercel-labs/ai-cli/blob/6a0ed5d04ea60ee536029d469499b82898d1b214/skills/ai-cli/SKILL.md)
+- **[Awesome JEV (yibie)](https://github.com/yibie/awesome-jev)** · 805 Star — 收录公开 JEV 项目、集成与讨论的大型社区目录。 [源码证据](https://github.com/yibie/awesome-jev/blob/a42aea88b30aeb62b3f165395f15336853e01863/README.md)
+- **[Awesome JEV by TypeSafe](https://github.com/Anil-matcha/awesome-jev-by-typesafe)** · 742 Star — 有证据支撑的 JEV 用例、模式、提示词与起步代码手册。 [源码证据](https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/0f4a1eadcdd70f4fc1cf8eadcf72794dfe416095/docs/jev-use-case-playbook.md)
+- **[Awesome JEV Tools](https://github.com/v-modal/awesome-jev-tools)** · 599 Star — 聚焦 JEV 与 TypeSafe System One 工具的精选目录。 [源码证据](https://github.com/v-modal/awesome-jev-tools/blob/f117e0c368d6e293bf5fdf99244a1173a6dc2ae0/README.md)
+- **[Foreman](https://github.com/thruwire/foreman)** · 446 Star — 独立监督环读取编码工人的 diff、日志和测试，用 Jev Noul 判断卡住、跑偏、该验证，再由 Python 策略干预。 [源码证据](https://github.com/thruwire/foreman/blob/209182dac7a3467033fd093ab4ca47d21279984a/src/foreman/foreman/jev.py)
+- **[Jev Review](https://github.com/devagrawal09/jev-review)** · 438 Star — 分阶段检查 Git diff 或整个代码库，在本地面板里展示可复核的审查线索。 [源码证据](https://github.com/devagrawal09/jev-review/blob/31f89602797fb7bea007f8a480bf368bf564954e/src/review/judgments.ts#L38)
+- **[Awesome TypeSafe](https://github.com/AbdelStark/awesome-typesafe)** · 414 Star — TypeSafe、System One 与 JEV 的官方与社区资源精选列表。 [源码证据](https://github.com/AbdelStark/awesome-typesafe/blob/d44dc0a1e26d41bc7f543d39b4b62ae5cb9f13c8/README.md)
+- **[Awesome JEV (cobanov)](https://github.com/cobanov/awesome-jev)** · 292 Star — 基于源码核对的 JEV / TypeSafe System One 项目精选列表。 [源码证据](https://github.com/cobanov/awesome-jev/blob/2c8c34a7a89499a0cec3ca7de3a23fec3ea9dc97/README.md)
+- **[Orchestkit](https://github.com/yonatangross/orchestkit)** · 280 Star — OrchestKit 可选用 Jev 给编程会话分类，符合阈值时用结果决定会话颜色。 [源码证据](https://github.com/yonatangross/orchestkit/blob/569095f35ce61a4881197dfb8117f4c3312e2bee/src/hooks/src/lib/session-category-provider.ts)
+- **[Awesome JEV Projects](https://github.com/logicrw/awesome-jev-projects)** · 264 Star — 有源码依据的 JEV 生态雷达，含白话发现页与 GitHub 同步。 [源码证据](https://github.com/logicrw/awesome-jev-projects/blob/d1b1b8d6c68c1754425778606d20d2cb14b09895/SKILL.md)
+- **[JEV MCP](https://github.com/jkudish/jev-mcp)** · 196 Star — 给 Agent 提供核对引用、筛查内容、查找、重排、分类、比较和提取等八个 MCP 判断工具。 [源码证据](https://github.com/jkudish/jev-mcp/blob/89f88b90c3180184d56961160e7178e64c98e468/src/provider.ts#L127)
+- **[JEV Review](https://github.com/NiazMorshed2007/jev-review)** · 191 Star — 供编码 Agent 使用的本地 MCP 代码质量检查器，返回多个维度的结构化评分。 [源码证据](https://github.com/NiazMorshed2007/jev-review/blob/57690af54ef7d862c2483342c1e61c14dffcf727/README.md)
+- **[Awesome JEV (fatwang2)](https://github.com/fatwang2/awesome-jev)** · 185 Star — 有源码依据的 JEV 目录，并附带可复用的纯 JEV GitHub Review 工作流。 [源码证据](https://github.com/fatwang2/awesome-jev/blob/f036095ba8203001d40be955f3486cd3e0d0a81b/.github/workflows/jev-review.yml)
+- **[Awesome JEV (AnotiaWang)](https://github.com/AnotiaWang/awesome-jev)** · 181 Star — JEV 应用、类库与 System One 资源精选清单。 [源码证据](https://github.com/AnotiaWang/awesome-jev/blob/04e65b59a936b2fed0d40eaec71a0a11e33bb422/README.md)
+- **[TypeSafe MCP](https://github.com/itsmostafa/typesafe-mcp)** · 173 Star — 让 Claude Code、Claude Desktop、Codex 和 Pi 通过 MCP 或扩展向 Jev 提问，获取结构化判断。 [源码证据](https://github.com/itsmostafa/typesafe-mcp/blob/0c9f35d9b1859189fc7e7d01947061f311ca6dde/README.md)
+- **[Perch](https://github.com/lakeday-org/perch)** · 167 Star — 语义代码检查：用 JEV / System One 判断某条发现是否该触发。 [源码证据](https://github.com/lakeday-org/perch/blob/54a38d6034264dc507e97294b82316c347fe5a5e/src/systemone.js)
+- **[Awesome JEV Gallery](https://github.com/OmniJev/awesome-jev-gallery)** · 131 Star — 汇总 System One 论文、开放复现与独立评测的 Gallery。 [源码证据](https://github.com/OmniJev/awesome-jev-gallery/blob/2b84d22ab0fb9e54098788955187feb023c40ab3/README.md)
+- **[Building with JEV Skill](https://github.com/dbreunig/building-with-jev-skill)** · 128 Star — 帮助编写与改进调用 JEV / System One 程序的 Agent Skill。 [源码证据](https://github.com/dbreunig/building-with-jev-skill/blob/04fe3666c6b8b8abfec1271c0e581c823a181f6d/skills/jev/SKILL.md)
+- **[Taskuary](https://github.com/ldbumble/taskuary)** · 116 Star — Taskuary 的可选 Jev 判断模块，对任务运行状态检查用户定义的条件。 [源码证据](https://github.com/ldbumble/taskuary/blob/4ad29d7b292a7899767338cfcc83b2dde8f43330/README.md)
+- **[Awesome JEV TypeSafe](https://github.com/valentynkit/awesome-jev-typesafe)** · 115 Star — 围绕类型化、置信度感知决策整理的 TypeSafe JEV 资源列表。 [源码证据](https://github.com/valentynkit/awesome-jev-typesafe/blob/7eec7360d502826b51d1c8862c9fd2d76eecf6e4/readme.md)
+- **[Awesome Jev](https://github.com/hellogumbo/awesome-jev)** · 109 Star — awesomejev.com 的源数据目录，覆盖仓库、集成、演示与研究。 [源码证据](https://github.com/hellogumbo/awesome-jev/blob/e18fa74fa53e27395a074cf94c7a127e912fb090/data/projects.json)
+- **[Stanley Code](https://github.com/devagrawal09/stanley-code)** · 106 Star — 为编码 Agent 提供带专用适配器的有限 JEV 工作流。 [源码证据](https://github.com/devagrawal09/stanley-code/blob/fd092558ebea389c81d44f9b10e826d9a72afaa3/src/adapters/jev.ts)
+- **[JEV Shell History](https://github.com/mrnugget/jev-shell-history)** · 80 Star — 类似于 Fish 终端样式的 Zsh 历史命令建议工具，利用 Jev 对已有历史记录根据当前上下文进行智能打分排序。 [源码证据](https://github.com/mrnugget/jev-shell-history/blob/4b2b75d26c0ccf5726263904514a22a8e11659ea/src/suggest.ts#L1-L196)
+- **[Awesome JEV (AppitStudio)](https://github.com/AppitStudio/awesome-jev)** · 66 Star — 带可运行类型化决策示例的 JEV 精选资源列表。 [源码证据](https://github.com/AppitStudio/awesome-jev/blob/5d654f24aecf992617bbc45e76f32a36eba62f65/README.md)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
+
+<a id="domain-tools"></a>
+### 垂直工具 (12)
+
+- **[AI Hedge Fund · JEV Adapter](https://github.com/virattt/ai-hedge-fund)** · 63.6K Star — 在教育型 AI 对冲基金原型中加入可选 JEV 适配器，用于结构化策略判断。 [源码证据](https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py)
+- **[QuantDinger · JEV Gate](https://github.com/OpenByteInc/QuantDinger)** · 11.9K Star — 在部分真实交易入场前增加 JEV 决策闸门的开源交易系统。 [源码证据](https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py)
+- **[JEV Trader](https://github.com/jarrodwatts/jev-trader)** · 1.7K Star — 可在 Monad 每个区块请求一次 JEV 交易判断的做市实验。 [源码证据](https://github.com/jarrodwatts/jev-trader/blob/b587759e459ea049590102e54a0b07800864cdc3/src/model.ts)
+- **[Astra + JEV Minecraft Agent](https://github.com/rmalde/minecraft-agent)** · 395 Star — 由规划模型设定目标、JEV 选择合法游戏动作的 Minecraft Agent。 [源码证据](https://github.com/rmalde/minecraft-agent/blob/78b40ed59514e5e2abde33a05ce398ecb2c39e05/models.mjs)
+- **[TypeSafe Mario](https://github.com/fhshaik/typesafe-mario)** · 314 Star — 从 NES 模拟器 RAM 和状态数据中提取环境，让 Jev 选择超级马力欧的手柄按键。 [源码证据](https://github.com/fhshaik/typesafe-mario/blob/ca22449ed187118d19326d1f54b01b6636578aa4/README.md)
+- **[Jevpilot](https://github.com/standardagents/jevpilot)** · 143 Star — 在浏览器里开一辆小车，让 Jev 从提前算好的路线和速度里选下一步。 [源码证据](https://github.com/standardagents/jevpilot/blob/e1beeb13b9a928fb76f167f86af584f4ce9cf180/README.md)
+- **[JEV Eval Agent](https://github.com/vinilana/jev-eval-agent)** · 99 Star — 智能体工具选择基准测试平台，在包含 100 个模拟工具的个人助理环境下对比大模型直接选工具与 Jev 路由的效率。 [源码证据](https://github.com/vinilana/jev-eval-agent/blob/037de1120c84b4b63cdf748e2acf258ff66d7731/agent/lib/jev-router.ts#L1-L154)
+- **[Formanator](https://github.com/timrogers/formanator)** · 98 Star — 支持可选 JEV 收据分类的福利报销 CLI 与 MCP 客户端。 [源码证据](https://github.com/timrogers/formanator/blob/548740edef37a4169eef163e4988e64f43a560ec/src/typesafe.rs)
+- **[JEV Drone](https://github.com/RomanSlack/jev-drone)** · 96 Star — MuJoCo 无人机仿真实验：从相机缓冲区提取场景，Jev 提供战术动作建议。 [源码证据](https://github.com/RomanSlack/jev-drone/blob/cbeb53ce4f17a06ea490ae43effcdad231143610/tactics.py#L184)
+- **[Dasheng](https://github.com/wquguru/dasheng)** · 90 Star — 把流式 ASR 与 JEV 逐词判断结合的朗读练习应用。 [源码证据](https://github.com/wquguru/dasheng/blob/1bacff4a075527e6c02da242a72d117e7cb3286b/lib/jev.js)
+- **[JEV Trade](https://github.com/aowang-ai/jev-trade)** · 68 Star — 以 JEV 作为有限决策层的 Hyperliquid 实盘交易 Agent。 [源码证据](https://github.com/aowang-ai/jev-trade/blob/df2c9656324a8a75996eb0612de7adcfe3ce6f89/src/model.ts)
+- **[Prism Liquidity Agent](https://github.com/irfndi/prism-liquidity-agent)** · 54 Star — 在再平衡决策服务中使用 JEV 的自动化流动性 Agent。 [源码证据](https://github.com/irfndi/prism-liquidity-agent/blob/22c67bdbe30bab608226832256a5013ad826b707/engine/jev-service.ts)
+
+<sub><a href="#categories">↑ 返回分类</a></sub>
 
 ## BeatAPI
 
diff --git a/scripts/sync-readmes.mjs b/scripts/sync-readmes.mjs
index 1af1015..0c2023c 100644
--- a/scripts/sync-readmes.mjs
+++ b/scripts/sync-readmes.mjs
@@ -21,17 +21,17 @@ const categories = [
 
 const configs = [
   {
-    file: 'README.md', index: 0, allHeading: `All ${projects.length} projects`, starWord: 'stars',
+    file: 'README.md', index: 0, allHeading: `All ${projects.length} projects`, starWord: 'stars', lang: 'en', evidence: 'Source', back: '↑ Back to categories',
     strong: 'A source-reviewed gallery of JEV-related projects with 50+ GitHub stars — integrations, tools, open models, experiments, and ecosystem resources.',
     policy: 'We list source-reviewed JEV-related repositories at or above 50 stars. See where JEV chooses, scores, routes, or filters—while application code keeps control of execution.',
   },
   {
-    file: 'README.zh-CN.md', index: 1, allHeading: `全部 ${projects.length} 个项目`, starWord: 'Star',
+    file: 'README.zh-CN.md', index: 1, allHeading: `全部 ${projects.length} 个项目`, starWord: 'Star', lang: 'zh', evidence: '源码证据', back: '↑ 返回分类',
     strong: '只整理 50+ Star、经过源码核对的 JEV 相关项目、集成、工具、开放模型、实验与生态资源。',
     policy: '收录门槛为 GitHub 50 Star 及以上。看看 JEV 如何完成选择、评分、路由与过滤，同时由应用代码掌控执行。',
   },
   {
-    file: 'README.ja.md', index: 2, allHeading: `全 ${projects.length} プロジェクト`, starWord: 'Star',
+    file: 'README.ja.md', index: 2, allHeading: `全 ${projects.length} プロジェクト`, starWord: 'Star', lang: 'ja', evidence: '根拠', back: '↑ カテゴリへ戻る',
     strong: 'GitHub 50★以上・ソース確認済みの JEV 関連プロジェクト、連携、ツール、オープンモデル、実験、エコシステム資料をまとめています。',
     policy: '掲載基準は 50 stars 以上。JEV が選択・採点・ルーティング・フィルタを担い、実行制御はアプリ側に残る事例です。',
   },
@@ -45,11 +45,16 @@ for (const config of configs) {
   text = text.replace(/<p align="center">(?:We only list|收录门槛|掲載の中心)[^<]+<\/p>/, `<p align="center">${config.policy}</p>`);
   text = text.replace(/(<tbody>\s*<tr>\s*<td align="center"><strong>)\d+(<\/strong><\/td>\s*<td align="center"><strong>)\d+(<\/strong><\/td>\s*<td align="center"><strong>)\d+(<\/strong><\/td>\s*<td align="center"><strong>)\d{4}-\d{2}-\d{2}/, `$1${projects.length}$2${over1k}$3${categoryCounts.size}$4${catalogue.capturedAt}`);
 
-  const categoryMarkup = `<p align="center">\n${categories.map(([key, labels], i) => `  <strong>${labels[config.index]} · ${categoryCounts.get(key) ?? 0}</strong>${i === categories.length - 1 ? '' : i === 4 ? '<br>' : ' ·'}`).join('\n')}\n</p>`;
-  text = text.replace(/<h2 align="center">(?:Browse by category|按分类浏览|カテゴリから探す)<\/h2>\s*<p align="center">[\s\S]*?<\/p>/, (block) => `${block.match(/^<h2[^\n]+/)[0]}\n\n${categoryMarkup}`);
+  const categoryMarkup = `<p align="center">\n${categories.map(([key, labels], i) => `  <a href="#${key}"><strong>${labels[config.index]} · ${categoryCounts.get(key) ?? 0}</strong></a>${i === categories.length - 1 ? '' : i === 4 ? '<br>' : ' ·'}`).join('\n')}\n</p>`;
+  text = text.replace(/(?:<a id="categories"><\/a>\s*)?<h2 align="center">(?:Browse by category|按分类浏览|カテゴリから探す)<\/h2>\s*<p align="center">[\s\S]*?<\/p>/, (block) => `<a id="categories"></a>\n${block.match(/<h2[^\n]+/)[0]}\n\n${categoryMarkup}`);
 
-  const list = projects.map((project) => `- [${project.name}](${project.repoUrl}) · ${project.starsAtCapture.toLocaleString('en-US')} ${config.starWord}`).join('\n');
-  const replacement = `<a id="all-projects"></a>\n## ${config.allHeading}\n\n${list}\n\n## BeatAPI`;
+  const compact = (n) => (n >= 1_000 ? `${(n / 1_000).toFixed(1)}K` : String(n));
+  const entry = (project) => `- **[${project.name}](${project.repoUrl})** · ${compact(project.starsAtCapture)} ${config.starWord} — ${project.summary[config.lang]} [${config.evidence}](${project.evidenceUrl})`;
+  const sections = categories.map(([key, labels]) => {
+    const group = projects.filter((project) => project.category === key);
+    return `<a id="${key}"></a>\n### ${labels[config.index]} (${group.length})\n\n${group.map(entry).join('\n')}\n\n<sub><a href="#categories">${config.back}</a></sub>`;
+  }).join('\n\n');
+  const replacement = `<a id="all-projects"></a>\n## ${config.allHeading}\n\n${sections}\n\n## BeatAPI`;
   text = text.replace(/(?:<a id="all-projects"><\/a>\s*)?## (?:All \d+ projects|全部 \d+ 个项目|全 \d+ プロジェクト)[\s\S]*?\n## BeatAPI/, replacement);
   text = text.replace(/\n<!-- catalogue links -->[\s\S]*$/, '');
   await writeFile(url, text);