docs: add quickstart compose file; condense README features section

Adds docker-compose.quickstart.yml that pulls the pre-built image from
the registry so users can get started without a local build. Updates
README Quick Start to use the new file as the default path.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

README.md

@@ -4,30 +4,26 @@ A self-hosted second brain and project management application with integrated LL
 
 ## Features
 
-- **Notes** — Markdown editor (Tiptap), wikilinks, backlinks, tags, version history, AI writing assist
-- **Tasks** — Status, priority, due dates, sub-tasks, milestones, work logs
-- **Projects** — Kanban view, milestone progress, three-panel project workspace (tasks / chat / notes)
-- **AI Chat** — SSE streaming, RAG, tool calls (create/update content, search web, check weather, calendar)
-- **Daily Briefing** — Scheduled digest of tasks, calendar, weather, and RSS; interactive follow-up conversation
-- **Knowledge Graph** — D3 force-directed graph of all notes and tags
-- **Sharing** — Share projects and notes with users or groups at viewer/editor/admin permissions
-- **Fable MCP** — MCP server for Claude and other clients to read/write your data via API keys
-- **PWA** — Installable, push notifications, web and Android companion app
+Notes and tasks with a Markdown editor, sub-tasks, milestones, and kanban project workspaces. AI chat with streaming responses, RAG over your notes, and tool use (web search, calendar, weather). A daily briefing that digests your tasks, RSS feeds, and weather on a schedule. Knowledge graph, per-user/group sharing, PWA with push notifications, an MCP server for external AI clients, and an Android companion app.
 
 ## Quick Start
 
 **Prerequisites:** Docker and Docker Compose. 8 GB+ RAM recommended for LLM inference.
 
+Download [`docker-compose.quickstart.yml`](docker-compose.quickstart.yml) from this repo, then:
+
 ```bash
-git clone https://git.fabledsword.com/bvandeusen/FabledAssistant.git
-cd FabledAssistant
-cp .env.example .env          # Edit .env to set SECRET_KEY
-docker compose up --build
+# Optional but recommended — set a secret key
+export SECRET_KEY=your-random-secret-here
+
+docker compose -f docker-compose.quickstart.yml up -d
 ```
 
-Open `http://localhost:5000`. The first user to register becomes admin.
+Open `http://localhost:5000`. The first user to register becomes admin. Go to **Settings → General** to pull an LLM model — `qwen3:8b` or `llama3.1:8b` are good starting points.
 
-Go to **Settings → General** to pull an LLM model. `qwen3:8b` or `llama3.1:8b` are good starting points.
+> **GPU:** Ollama runs CPU-only by default. See the comments in `docker-compose.quickstart.yml` to enable NVIDIA GPU passthrough.
+
+> **Development:** To build from source, see [Development](docs/development.md).
 
 ## Documentation
 

docker-compose.quickstart.yml

@@ -0,0 +1,82 @@
+# Fabled Assistant — Quick Start
+#
+# No build required. Pulls the latest pre-built image from the registry.
+#
+# Usage:
+#   1. Download this file
+#   2. docker compose -f docker-compose.quickstart.yml up -d
+#   3. Open http://localhost:5000 — the first account registered becomes admin
+#   4. Go to Settings → General to pull an LLM model (qwen3:8b or llama3.1:8b are good starting points)
+#
+# Set SECRET_KEY via environment variable or a .env file alongside this file:
+#   SECRET_KEY=your-random-secret-here
+
+services:
+  app:
+    image: git.fabledsword.com/bvandeusen/fabledassistant:latest
+    ports:
+      - "5000:5000"
+    environment:
+      DATABASE_URL: "postgresql+asyncpg://fabled:fabled@db:5432/fabledassistant"
+      SECRET_KEY: "${SECRET_KEY:-change-me-in-production}"
+      OLLAMA_URL: "http://ollama:11434"
+      OLLAMA_MODEL: "${OLLAMA_MODEL:-llama3.1:8b}"
+      LOG_LEVEL: "${LOG_LEVEL:-INFO}"
+    volumes:
+      - app_data:/data
+    depends_on:
+      db:
+        condition: service_healthy
+      ollama:
+        condition: service_healthy
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:5000/api/health')"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 30s
+
+  db:
+    image: postgres:16-alpine
+    volumes:
+      - pgdata:/var/lib/postgresql/data
+    environment:
+      POSTGRES_USER: fabled
+      POSTGRES_PASSWORD: fabled
+      POSTGRES_DB: fabledassistant
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U fabled"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+    restart: unless-stopped
+
+  ollama:
+    image: ollama/ollama
+    volumes:
+      - ollama_models:/root/.ollama
+    environment:
+      OLLAMA_MAX_LOADED_MODELS: "2"
+      OLLAMA_KEEP_ALIVE: "30m"
+      OLLAMA_FLASH_ATTENTION: "1"
+    healthcheck:
+      test: ["CMD-SHELL", "ollama list > /dev/null 2>&1"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 15s
+    restart: unless-stopped
+    # Uncomment to enable NVIDIA GPU passthrough (requires nvidia-container-toolkit):
+    # deploy:
+    #   resources:
+    #     reservations:
+    #       devices:
+    #         - driver: nvidia
+    #           count: all
+    #           capabilities: [gpu]
+
+volumes:
+  app_data:
+  pgdata:
+  ollama_models: