{"id":77950,"date":"2026-07-23T09:07:43","date_gmt":"2026-07-23T07:07:43","guid":{"rendered":"https:\/\/community.simplifier.io\/doc\/leitfaden-fur-makler\/miri-ai-agent-fur-die-anwendungsmigration\/daemon-docker-installation\/"},"modified":"2026-08-18T12:15:45","modified_gmt":"2026-08-18T10:15:45","slug":"daemon-docker-installation","status":"publish","type":"manual_documentation","link":"https:\/\/community.simplifier.io\/de\/doc\/leitfaden-fur-makler\/miri-ai-agent-fur-die-anwendungsmigration\/daemon-docker-installation\/","title":{"rendered":"Daemon-Docker-Installation"},"content":{"rendered":"<div class=\"wpb-content-wrapper\" id=\"wpb-content-root\"><p>[vc_row row_content_display=&#8221;in_grid&#8221; row_content_display_align=&#8221;left&#8221; row_type=&#8221;row&#8221; stretch_row_type=&#8221;yes&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Was ist der Agent-Daemon?<\/h2>\n<p>Miri kann KI f\u00fcr agentenbasierte Aufgaben nutzen, aber die KI ben\u00f6tigt auch eine lokale Verbindung f\u00fcr relevante Gesch\u00e4ftsdaten, wie etwa eine SAP ERP-Verbindung. Zu diesem Zweck wird die KI-Aufgabe nicht zentral auf der Miri-Webplattform verarbeitet, sondern dezentral innerhalb des Agent-Daemons. Der Agent-Daemon kann \u00fcberall installiert werden, sollte jedoch dort laufen, wo die Systemverbindungen m\u00f6glich sind. Miri ben\u00f6tigt keinen offenen Port oder Inbound-Kanal, um sich mit dem Agenten zu verbinden. Der Agent verbindet sich ausgehend mit der zentralen Miri-Anwendung.    <\/p>\n<p>Der Daemon ist als Docker-Image verf\u00fcgbar, um die F\u00e4higkeiten der KI einzuschr\u00e4nken, und verf\u00fcgt zudem \u00fcber eine zus\u00e4tzliche native Sicherheits-Sandbox innerhalb des KI-Agenten. Dies ist der empfohlene Ansatz f\u00fcr produktive KI-Workloads innerhalb eines Unternehmens. <\/p>\n<h2>Voraussetzungen<\/h2>\n<ul>\n<li><strong>Docker<\/strong> und <strong>Docker Compose<\/strong> sind auf dem Host installiert<\/li>\n<li><strong>Netzwerkzugriff<\/strong> auf das Agent Orchestrator-Backend<\/li>\n<li>Ein <strong>Registrierungs-Token<\/strong> aus der Agent Orchestrator-UI<\/li>\n<li>Ein <strong>API-Key<\/strong> von einem KI-Modell-Anbieter<\/li>\n<\/ul>\n<h3>Systemressourcen<\/h3>\n<p>Die Agents k\u00f6nnen auf beliebigen lokalen Ger\u00e4ten wie einem Laptop laufen, aber f\u00fcr einen stabilen Zugriff wird empfohlen, sie auf einem dedizierten Host zu installieren mit:<\/p>\n<ul>\n<li>CPU-Anforderungen: 2 vCPUs<\/li>\n<li>Arbeitsspeicher (RAM): 4 GB<\/li>\n<li>Empfohlenes Betriebssystem: Linux (Debian, Ubuntu, etc.)<\/li>\n<li>Netzwerk-Ingres: Keine Anforderungen, keine \u00f6ffentliche IP oder Proxy erforderlich<\/li>\n<li>Netzwerk-Outgres: Internetzugriff erforderlich \u2013 Kommunikation \u00fcber HTTPS 443 an miri.simplifier.cloud<\/li>\n<\/ul>\n<h2>Schritt 1: Bereite deinen API-Key von deinem KI-Modell-Anbieter vor<\/h2>\n<p>Aktuell unterst\u00fctzen wir<\/p>\n<ul>\n<li>Anthropic (via API-Key)<\/li>\n<li>OpenRouter<\/li>\n<li>GitHub Enterprise<\/li>\n<\/ul>\n<h2>Schritt 2: Erhalt eines Registrierungs-Tokens<\/h2>\n<ol>\n<li><a href=\"https:\/\/miri.simplifier.cloud\">Melde dich am Miri-Webinterface als Administrator an<\/a><\/li>\n<li>Navigiere zu <strong>Runtimes<\/strong> in der Seitenleiste.<\/li>\n<li>Dr\u00fccke die Schaltfl\u00e4che <strong>Registration Token<\/strong>.<\/li>\n<li>Kopiere den im Dialog angezeigten Token.<\/li>\n<\/ol>\n<p>Falls noch keine Runtime existiert, erstelle zuerst eine \u00fcber die Schaltfl\u00e4che <strong>New Runtime<\/strong> auf der Agent-Management-Seite.<\/p>\n<p>Wenn du keine Admin-Rechte hast, fordere einen Token bei deinem Simplifier-Ansprechpartner an.<\/p>\n<h2>Schritt 3: Bereite die Compose-Datei vor<\/h2>\n<p>Erstelle eine Umgebungsdatei und eine Docker-Compose-Konfiguration:<\/p>\n<pre><code class=\"language-bash\"># Create the environment file\r\ncat &gt; .env &lt;&lt;'EOF'\r\nAGENTHUB_SERVER_URL=https:\/\/miri.simplifier.cloud\r\nAGENTHUB_TOKEN=&lt;Enter your Registration Token here&gt;\r\nAGENTHUB_RUNTIME_NAME=Miri Agent Runtime\r\nAGENTHUB_MAX_CONCURRENT=4\r\nAGENTHUB_WUD_URL=http:\/\/miri-wud:3000\r\nAGENTHUB_WUD_USER=\r\nAGENTHUB_WUD_PASSWORD=\r\nANTHROPIC_API_KEY=\r\nOPENROUTER_API_KEY=\r\nGITHUB_ENTERPRISE_AI_KEY=\r\nOTEL_EXPORTER_OTLP_LOGS_ENDPOINT=\r\nOTEL_EXPORTER_OTLP_LOGS_HEADERS=\r\nEOF\r\n\r\n# Create docker-compose.yml\r\ncat &gt; docker-compose.yml &lt;&lt;'EOF'\r\nservices:\r\n  daemon:\r\n    image: simplifierag\/miri-daemon:latest\r\n    container_name: miri-daemon\r\n    environment:\r\n      AGENTHUB_SERVER_URL: \"${AGENTHUB_SERVER_URL}\"\r\n      AGENTHUB_TOKEN: \"${AGENTHUB_TOKEN}\"\r\n      AGENTHUB_WORKSPACE_ID: \"${AGENTHUB_WORKSPACE_ID:-}\"\r\n      AGENTHUB_RUNTIME_NAME: \"${AGENTHUB_RUNTIME_NAME:-Docker Runtime}\"\r\n      AGENTHUB_MAX_CONCURRENT: \"${AGENTHUB_MAX_CONCURRENT:-4}\"\r\n      AGENTHUB_POLL_INTERVAL: \"${AGENTHUB_POLL_INTERVAL:-3s}\"\r\n      AGENTHUB_IDLE_WATCHDOG: \"${AGENTHUB_IDLE_WATCHDOG:-}\"\r\n      # Provider API keys for opencode \u2014 the daemon spawns opencode with `env = dict(os.environ)`,\r\n      # so these are passed straight through to every agent subprocess. \r\n      # With a key set, agent can use that provider's models (set AGENTHUB_OPENCODE_MODEL to e.g.\r\n      # \"anthropic\/claude-sonnet-4-5\" or \"openrouter\/anthropic\/claude-sonnet-4-5\", or use per-agent\r\n      # model overrides). Multiple keys can be set simultaneously \u2014 agent discovers all available\r\n      # providers' models on startup.\r\n      # Daemon-mediated remote update: the daemon reports this WUD URL to the backend (so the\r\n      # \"Trigger Update\" button knows WUD is available) and calls it locally when the backend\r\n      # delivers a pending-update flag. WUD runs as a sibling container on this stack's network.\r\n      AGENTHUB_WUD_URL: \"${AGENTHUB_WUD_URL:-http:\/\/miri-wud:3000}\"\r\n      AGENTHUB_WUD_USER: \"${AGENTHUB_WUD_USER:-}\"\r\n      AGENTHUB_WUD_PASSWORD: \"${AGENTHUB_WUD_PASSWORD:-}\"  \r\n      # PostHog log shipping  \u2014 opt-in, leave empty to disable.\r\n      OTEL_EXPORTER_OTLP_LOGS_ENDPOINT: \"${OTEL_EXPORTER_OTLP_LOGS_ENDPOINT:-}\"\r\n      OTEL_EXPORTER_OTLP_LOGS_HEADERS: \"${OTEL_EXPORTER_OTLP_LOGS_HEADERS:-}\"\r\n      OTEL_SERVICE_NAME: \"agent-orchestrator-daemon\"\r\n      ANTHROPIC_API_KEY: \"${ANTHROPIC_API_KEY:-}\"\r\n      OPENROUTER_API_KEY: \"${OPENROUTER_API_KEY:-}\"\r\n      GITHUB_ENTERPRISE_AI_KEY: \"${GITHUB_ENTERPRISE_AI_KEY:-}\"\r\n    volumes:\r\n      - daemon-workspaces:\/root\/agenthub_workspaces\r\n    labels:\r\n      - wud.watch.digest=true\r\n      - wud.watch=true\r\n      - wud.trigger.miri=true\r\n    restart: unless-stopped\r\n  # WUD \u2014 What's Up Docker? Watches container images for new versions and\r\n  # exposes a web UI for status. Checks every 6 hours.\r\n  wud:\r\n    image: getwud\/wud:latest\r\n    container_name: miri-wud\r\n    environment:\r\n      WUD_WATCHER_LOCAL_WATCHBYDEFAULT: \"true\"\r\n      WUD_WATCHER_LOCAL_CRON: \"0 1 * * *\"\r\n      WUD_SERVER_ENABLED: \"true\"\r\n      WUD_TRIGGER_DOCKER_MIRI_PRUNE: \"true\"\r\n      WUD_TRIGGER_DOCKER_MIRI_DRYRUN: \"false\"\r\n    volumes:\r\n      - \"\/var\/run\/docker.sock:\/var\/run\/docker.sock\"\r\n    restart: unless-stopped \r\nvolumes:\r\n  daemon-workspaces:\r\nEOF\r\n<\/code><\/pre>\n<p>Nachdem die Konfiguration abgeschlossen ist, starte den Daemon<\/p>\n<pre><code>\r\n# Start the daemon\r\ndocker compose up -d<\/code><\/pre>\n<h3>Docker-Umgebungsvariablen<\/h3>\n<table>\n<thead>\n<tr>\n<th>Variable<\/th>\n<th>Standard<\/th>\n<th>Beschreibung<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><code>AGENTHUB_SERVER_URL<\/code><\/td>\n<td><em>(erforderlich)<\/em><\/td>\n<td>Backend-Basis-URL<\/td>\n<\/tr>\n<tr>\n<td><code>AGENTHUB_TOKEN<\/code><\/td>\n<td><em>(erforderlich)<\/em><\/td>\n<td>Runtime-Registrierungs-Token<\/td>\n<\/tr>\n<tr>\n<td><code>AGENTHUB_WORKSPACE_ID<\/code><\/td>\n<td><em>(keine)<\/em><\/td>\n<td>An einen bestimmten Workspace binden<\/td>\n<\/tr>\n<tr>\n<td><code>AGENTHUB_RUNTIME_NAME<\/code><\/td>\n<td><code>Docker Runtime<\/code><\/td>\n<td>Anzeigename in der Registry<\/td>\n<\/tr>\n<tr>\n<td><code>AGENTHUB_MAX_CONCURRENT<\/code><\/td>\n<td><code>4<\/code><\/td>\n<td>Maximale parallele Durchl\u00e4ufe<\/td>\n<\/tr>\n<tr>\n<td><code>AGENTHUB_POLL_INTERVAL<\/code><\/td>\n<td><code>3s<\/code><\/td>\n<td>Sekunden zwischen Work-Claim-Abfragen<\/td>\n<\/tr>\n<tr>\n<td><code>AGENTHUB_IDLE_WATCHDOG<\/code><\/td>\n<td><em>(deaktiviert)<\/em><\/td>\n<td>Automatischer Neustart nach Leerlaufzeit<\/td>\n<\/tr>\n<tr>\n<td><code>ANTHROPIC_API_KEY<\/code><\/td>\n<td><em>(deaktiviert)<\/em><\/td>\n<td>Anthropic-API-Key f\u00fcr den Zugriff auf Modelle wie Sonnet, Opus etc.<\/td>\n<\/tr>\n<tr>\n<td><code>OPENROUTER_API_KEY<\/code><\/td>\n<td><em>(deaktiviert)<\/em><\/td>\n<td>OpenRouter-API-Key f\u00fcr den Zugriff auf \u00fcber 500 KI-Modelle<\/td>\n<\/tr>\n<tr>\n<td><code>GITHUB_ENTERPRISE_AI_KEY<\/code><\/td>\n<td><em>(deaktiviert)<\/em><\/td>\n<td>API-Key f\u00fcr GitHub Enterprise-Abonnement<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Verwaltung des Agent Daemon<\/h3>\n<pre><code class=\"language-bash\"># View logs\r\ndocker compose logs -f\r\n\r\n# Restart\r\ndocker compose restart\r\n\r\n# Stop\r\ndocker compose down\r\n\r\n# Update to latest image\r\ndocker compose pull\r\ndocker compose up -d<\/code><\/pre>\n<h3>Mehrere Daemons<\/h3>\n<p>Um mehrere Daemons auf demselben Docker-Host auszuf\u00fchren, verwende unterschiedliche Projekt- und Containernamen:<\/p>\n<pre><code class=\"language-bash\"># Daemon 1\r\ndocker compose -p daemon1 up -d\r\n<\/code><\/pre>\n<p># Daemon 2 (mit einem anderen Runtime-Namen)<br \/>\nBearbeite die Umgebungsdatei <\/p>\n<pre><code>AGENTHUB_RUNTIME_NAME=\"GPU Worker\"<\/code><\/pre>\n<p>Starte den Container neu<\/p>\n<pre><code>docker compose -p daemon2 up -d<\/code><\/pre>\n<h2>Installation verifizieren<\/h2>\n<p>Pr\u00fcfe nach dem Starten des Daemons die Seite <strong>Runtimes<\/strong> im Agent Orchestrator. Deine neue Runtime sollte innerhalb weniger Sekunden mit einem gr\u00fcnen <strong>Connected<\/strong>-Status-Badge erscheinen. Aktuelle Durchl\u00e4ufe werden in der Spalte <strong>Activity<\/strong> angezeigt.  <\/p>\n<h2>Fehlerbehebung<\/h2>\n<table>\n<thead>\n<tr>\n<th>Symptom<\/th>\n<th>Pr\u00fcfung<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Daemon startet nicht<\/td>\n<td><code>journalctl -u agenthub-daemon -n 50<\/code><\/td>\n<\/tr>\n<tr>\n<td>Keine Durchl\u00e4ufe beansprucht<\/td>\n<td>Pr\u00fcfe, ob der Workspace Aufgaben in der Warteschlange mit Agent-Zuweisungen hat<\/td>\n<\/tr>\n<tr>\n<td>Docker: Container wird sofort beendet<\/td>\n<td>Pr\u00fcfe <code>docker compose logs daemon<\/code> auf Registrierungsfehler<\/td>\n<\/tr>\n<tr>\n<td>Docker: 403-Registrierungsfehler<\/td>\n<td>Pr\u00fcfe, ob <code>AGENTHUB_TOKEN<\/code> ein g\u00fcltiger, nicht abgelaufener Registrierungs-Token ist<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Installiere und betreibe den Agent Orchestrator-Daemon als vorgefertigtes Docker-Image, einschlie\u00dflich Konfiguration, Updates, mehrerer Daemon-Instanzen, Verifizierung und Fehlerbehebung.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":77879,"menu_order":1,"template":"","format":"standard","class_list":["post-77950","manual_documentation","type-manual_documentation","status-publish","format-standard","hentry","manualdocumentationcategory-aktueller-release"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - 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