[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"package:cask:jan:ja":3,"releases:stats:cask:jan:ja":485,"dependencies:cask:jan:ja:golden_gate":486},{"accentColor":4,"artifacts":5,"autoUpdates":29,"categories":30,"conflictsWith":37,"dependsOn":40,"deprecated":33,"description":47,"descriptionEn":48,"developer":49,"disabled":33,"displayName":50,"downloadSha256":51,"downloadSize":52,"downloadUrl":53,"editorChoice":33,"formulaeUrl":54,"homepage":55,"iconUrl":56,"installCommand":57,"installs":58,"installs30d":59,"isFont":33,"isLibrary":33,"kegOnly":33,"kind":62,"latestRelease":63,"machineTranslated":29,"name":50,"names":85,"platforms":87,"primaryCategory":446,"rank30d":447,"releaseCount":448,"releaseStats":449,"repoUrl":455,"screenshots":456,"sourceLocale":79,"sourceUrl":470,"summary":471,"summaryTranslation":472,"supports":475,"tags":477,"tap":483,"token":86,"version":114,"versionChangedAt":484},"#FFCB28",{"apps":6,"binaries":8,"entries":9,"pkgs":28},[7],"Jan.app",[],[10,17],{"declaration":11,"phase":14,"sources":15,"target":13,"type":16},{"app":12,"target":13},[7],"\u002FApplications\u002FJan.app","install",[7],"app",{"declaration":18,"phase":25,"sources":26,"type":27},{"zap":19},[20],{"trash":21},[22,23,24],"~\u002FLibrary\u002FApplication Support\u002FJan","~\u002FLibrary\u002FPreferences\u002Fjan.ai.app.plist","~\u002FLibrary\u002FSaved Application State\u002Fjan.ai.app.savedState","cleanup",[],"zap",[],true,[31],{"icon":32,"machineTranslated":33,"name":34,"slug":35,"sourceLocale":36},"lucide:sparkles",false,"AI Tools","ai","zh-CN",{"casks":38,"formulae":39},[],[],{"arch":41,"casks":44,"formulae":45,"requirements":46},[42,43],"arm64","x86_64",[],[],{},"Janは、自分のコンピューター上または構成済みのクラウドプロバイダーを通じて大規模言語モデルとチャットするためのオープンソースデスクトップアプリケーションです。Homebrew caskは公式のユニバーサルmacOS ZIPからJan.appをインストールし、AppleシリコンとIntel Macの両方をサポートします。\n\n## ローカルAIと接続AI\nHugging Faceからモデルをダウンロードし、サポートされているLlama、Gemma、Qwen、GPT-ossモデルを含めてローカルで実行できます。ローカル推論では、ローカル専用機能を選択した場合、会話を自分のマシン上に保持できます。クラウド統合にはOpenAI、Anthropic、Mistral、Groq、その他のプロバイダーが含まれます。これらのプロバイダーへのリクエストは自分のマシンから送信され、それらの認証情報とサービス条件が必要です。\n\n## アシスタントと統合\nさまざまなタスク向けに特化したアシスタントを作成できます。Model Context Protocol統合は、エージェント型ワークフロー用のツールを接続します。localhost:1337で文書化されているOpenAI互換のローカルサーバーにより、他のアプリケーションがJanのモデルを使用できます。バージョン0.8.4では、ネイティブのWeb検索とフェッチ、および翻訳APIゲートウェイが追加されます。接続されたツールとWeb機能は、オフライン専用の操作ではありません。\n\n## 要件とセットアップ\n公式READMEでは、macOS 13.6以降と、3Bモデルなら8 GB RAM、7Bなら16 GB、13Bモデルなら32 GBを推奨しています。実際のリソース使用量は、モデルとコンテキストサイズによって異なります。アプリをインストールし、ローカルモデルを選択してダウンロードするか、クラウドプロバイダーを構成します。リポジトリ内のNode.js、Yarn、Rustの要件は、ソースからのビルド用であり、パッケージ化されたアプリケーションの実行用ではありません。\n\n## バージョン0.8.4への移行\n設定はwebviewのlocalStorageからバックエンド管理のストアに移行し、シークレットはOSキーリングに保存されます。既存の設定とAPIキーは初回起動時に自動的に移行されます。古いlocalStorageはダウングレード用スナップショットとして残ります。0.8.4以降で行われた変更は、その古いスナップショットを更新しません。JanはApache-2.0の下でライセンスされています。\n\n## 出典\n- [公式リポジトリとREADME](https:\u002F\u002Fgithub.com\u002Fjanhq\u002Fjan)\n- [macOSインストールドキュメント](https:\u002F\u002Fjan.ai\u002Fdocs\u002Fdesktop\u002Fmac)\n- [公式0.8.4リリース](https:\u002F\u002Fgithub.com\u002Fjanhq\u002Fjan\u002Freleases\u002Ftag\u002Fv0.8.4)\n- [Homebrew cask](https:\u002F\u002Fgithub.com\u002FHomebrew\u002Fhomebrew-cask\u002Fblob\u002FHEAD\u002FCasks\u002Fj\u002Fjan.rb)\n","Offline AI chat tool","Menlo Research","Jan","2ae6e41073debe33c7d81ac2be3125c2fc8505756339d73df4be5e2b9372edf1",102371540,"https:\u002F\u002Fgithub.com\u002Fjanhq\u002Fjan\u002Freleases\u002Fdownload\u002Fv0.8.4\u002Fjan-mac-universal-0.8.4.zip","https:\u002F\u002Fformulae.brew.sh\u002Fcask\u002Fjan","https:\u002F\u002Fjan.ai\u002F","https:\u002F\u002Fcdn.opennavo.com\u002Ficons\u002Fuploads\u002F959cc9db27d5\u002Faba6ce13c525-256.png","brew install --cask jan",{"d30":59,"d365":60,"d90":61},206,3708,889,"cask",{"bodyMarkdown":64,"brewCommittedAt":65,"hasNotes":29,"id":66,"isLatest":29,"isPrerelease":33,"machineTranslated":33,"publishedAt":67,"sections":68,"source":78,"sourceLocale":79,"summary":80,"title":81,"translation":82,"version":84},"## Jan 0.8.5\n\nThis stable release announces fixes and migration changes, not the nightly Cowork capability. The bundled llama.cpp engine replaces separately downloaded backends; old backends are unused and can be removed. macOS local models use Apple Silicon and Metal. Intel Macs can still open 0.8.5 with remote\u002Fcustom providers, but local llama.cpp models do not load; the publisher tells existing Intel local-model users to stay on 0.8.4.\n\n- Bundles llama.cpp 0.5.0 in a separate worker process; macOS uses Metal.\n- Local models require Apple Silicon; Intel Macs can use remote providers.\n- Renames the desktop executable to Jan-Desktop and separates CLI installation.\n- Enforces Trusted Hosts when the local API binds to 0.0.0.0.\n- Adds guided first-run setup and fixes project chat and provider behavior.\n- Stops engines, MCP servers and agent shells before an in-app update.\n\nThe old desktop-bundled jan CLI remains at 0.8.4 on macOS\u002FLinux and requires a separate reinstall to update. The API now rejects untrusted Host headers with 403; add intended names to Trusted Hosts. Conversation prompt caches are now retained on disk by default, capped at 8192 MiB, and can be disabled in llama.cpp provider settings. Parallel Sequences changes from 1 to 0 for automatic slot selection. Fixes also cover context trimming, oversized MCP results, shell error reporting and command-grant scanning. A failed in-app update can still close its dialog without an error; inspect the log.\n\nSource: [Official Jan 0.8.5 release](https:\u002F\u002Fgithub.com\u002Fjanhq\u002Fjan\u002Freleases\u002Ftag\u002Fv0.8.5).","2026-10-08T10:51:47Z",3435,"0001-01-01T00:00:00Z",[69],{"area":70,"items":71},"Changes",[72,73,74,75,76,77],"Bundles llama.cpp 0.5.0 in a separate worker process; macOS uses Metal.","Local models require Apple Silicon; Intel Macs can use remote providers.","Renames the desktop executable to Jan-Desktop and separates CLI installation.","Enforces Trusted Hosts when the local API binds to 0.0.0.0.","Adds guided first-run setup and fixes project chat and provider behavior.","Stops engines, MCP servers and agent shells before an in-app update.","editorial","en-US","Bundles the local engine, changes migration behavior and hardens the local API.","Jan 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