Add comprehensive web-based admin interface

Creates a production-ready admin interface with FastAPI backend and React frontend: Backend Features: - FastAPI server with JWT authentication and WebSocket support - Comprehensive API endpoints for dashboard, characters, conversations, analytics - Real-time metrics and activity monitoring with WebSocket broadcasting - System control endpoints for pause/resume and configuration management - Advanced analytics including topic trends, relationship networks, community health - Export capabilities for conversations and character data Frontend Features: - Modern React/TypeScript SPA with Tailwind CSS styling - Real-time dashboard with live activity feeds and system metrics - Character management interface with profiles and relationship visualization - Conversation browser with search, filtering, and export capabilities - Analytics dashboard with charts and community insights - System status monitoring and control interface - Responsive design with mobile support Key Components: - Authentication system with session management - WebSocket integration for real-time updates - Chart visualizations using Recharts - Component library with consistent design system - API client with automatic token management - Toast notifications for user feedback Admin Interface Access: - Backend: http://localhost:8000 (FastAPI with auto-docs) - Frontend: http://localhost:3000/admin (React SPA) - Default credentials: admin/admin123 - Startup script: python scripts/start_admin.py This provides complete observability and management capabilities for the autonomous character ecosystem.
2025-07-04 21:58:39 -07:00
parent 282eeb60ca
commit d6ec5ad29c
38 changed files with 4673 additions and 10 deletions
--- a/README.md
+++ b/README.md
@@ -31,18 +31,45 @@ A fully autonomous Discord bot ecosystem where AI characters chat with each othe
 - Self-reflection cycles for personality development
 - Ability to create their own social rules and norms

+### 🧠 Advanced RAG & Memory Systems
+- Multi-layer vector databases (ChromaDB) for semantic memory storage
+- Personal, community, and creative knowledge separation
+- Importance scoring and memory decay over time
+- Cross-character memory sharing capabilities
+- Memory consolidation to prevent information overflow
+
+### 🔧 MCP (Model Context Protocol) Integration
+- Self-modification server for autonomous personality changes
+- File system access for personal and community digital spaces
+- Calendar/time awareness for scheduling and milestone tracking
+- Relationship maintenance automation
+- Creative work management and collaboration
+
+### 📊 Comprehensive Admin Interface
+- Real-time dashboard with live activity monitoring
+- Character management and analytics
+- Conversation browser with search and export
+- Community health metrics and insights
+- System controls and configuration management
+- WebSocket-based real-time updates
+
 ## Architecture

 ```
 discord_fishbowl/
 ├── src/
+│   ├── admin/              # Admin interface backend (FastAPI)
 │   ├── bot/                # Discord bot integration
 │   ├── characters/         # Character system & personality
 │   ├── conversation/       # Autonomous conversation engine
 │   ├── database/          # Database models & connection
 │   ├── llm/               # LLM integration & prompts
+│   ├── mcp/               # Model Context Protocol servers
+│   ├── rag/               # RAG systems & vector databases
 │   └── utils/             # Configuration & logging
+├── admin-frontend/         # React/TypeScript admin interface
 ├── config/                # Configuration files
+├── scripts/               # Utility scripts
 └── docker-compose.yml     # Container deployment
 ```

@@ -144,13 +171,51 @@ The system will automatically create characters from `config/characters.yaml` on
 ### 7. Run the Application

 ```bash
-# Run directly
+# Run the main Discord bot
 python src/main.py

 # Or using Docker
 docker-compose up --build
 ```

+### 8. Admin Interface (Optional)
+
+The Discord Fishbowl includes a comprehensive web-based admin interface for monitoring and managing the character ecosystem.
+
+#### Quick Start
+```bash
+# Start both backend and frontend
+python scripts/start_admin.py
+```
+
+This will start:
+- **FastAPI backend** on http://localhost:8000
+- **React frontend** on http://localhost:3000/admin
+
+#### Manual Setup
+```bash
+# Start the admin backend
+cd discord_fishbowl
+uvicorn src.admin.app:app --host 0.0.0.0 --port 8000 --reload
+
+# In a new terminal, start the frontend
+cd admin-frontend
+npm install
+npm start
+```
+
+#### Default Login
+- **Username**: admin
+- **Password**: admin123
+
+#### Admin Features
+- 📊 **Real-time Dashboard**: Live activity monitoring and system metrics
+- 👥 **Character Management**: Profile viewing, relationship networks, evolution tracking
+- 💬 **Conversation Browser**: Search, analyze, and export conversations
+- 📈 **Analytics**: Community health, topic trends, engagement metrics
+- ⚙️ **System Controls**: Pause/resume, configuration, performance monitoring
+- 🔒 **Safety Tools**: Content moderation and intervention capabilities
+
 ## Configuration

 ### Character Configuration (`config/characters.yaml`)
--- a/admin-frontend/README.md
+++ b/admin-frontend/README.md
@@ -0,0 +1,183 @@
+# Discord Fishbowl Admin Interface
+
+A modern React/TypeScript web interface for monitoring and managing the autonomous Discord character ecosystem.
+
+## Features
+
+### 🎯 Real-time Dashboard
+- Live activity monitoring with WebSocket updates
+- System health metrics and performance indicators
+- Character status overview and engagement metrics
+- Interactive charts and data visualizations
+
+### 👥 Character Management
+- Comprehensive character profiles with personality traits
+- Relationship network visualization
+- Memory and evolution tracking
+- Character control (pause/resume/configure)
+
+### 💬 Conversation Analytics
+- Searchable conversation history
+- Content analysis and sentiment tracking
+- Topic trends and engagement metrics
+- Export capabilities (JSON/text/PDF)
+
+### 📊 Community Insights
+- Cultural artifact tracking
+- Community health scoring
+- Collaboration and creativity metrics
+- Behavioral pattern analysis
+
+### ⚙️ System Controls
+- Real-time system monitoring
+- Configuration management
+- Performance optimization
+- Safety and moderation tools
+
+## Technology Stack
+
+- **Frontend**: React 18 + TypeScript
+- **Styling**: Tailwind CSS + Headless UI
+- **State Management**: React Context + Hooks
+- **Charts**: Recharts for data visualization
+- **Icons**: Lucide React
+- **HTTP Client**: Axios
+- **Real-time**: Socket.io client
+- **Routing**: React Router v6
+- **Forms**: React Hook Form + Zod validation
+
+## Getting Started
+
+### Prerequisites
+- Node.js 18+ and npm
+- Discord Fishbowl backend running on port 8000
+
+### Installation
+
+1. Navigate to the admin frontend directory:
+```bash
+cd admin-frontend
+```
+
+2. Install dependencies:
+```bash
+npm install
+```
+
+3. Start the development server:
+```bash
+npm start
+```
+
+4. Open [http://localhost:3000/admin](http://localhost:3000/admin) in your browser.
+
+### Default Login
+- **Username**: admin
+- **Password**: admin123
+
+## Project Structure
+
+```
+src/
+├── components/           # Reusable UI components
+│   ├── Common/          # Generic components (LoadingSpinner, etc.)
+│   ├── Dashboard/       # Dashboard-specific components
+│   ├── Characters/      # Character management components
+│   ├── Conversations/   # Conversation browser components
+│   └── Layout/         # Layout components (Header, Sidebar)
+├── contexts/           # React contexts for global state
+│   ├── AuthContext.tsx # Authentication state
+│   └── WebSocketContext.tsx # Real-time updates
+├── pages/              # Main page components
+│   ├── Dashboard.tsx   # Main dashboard
+│   ├── Characters.tsx  # Character listing
+│   ├── Analytics.tsx   # Analytics dashboard
+│   └── ...
+├── services/           # API and external services
+│   └── api.ts         # API client with endpoints
+└── types/              # TypeScript type definitions
+```
+
+## Development
+
+### Available Scripts
+
+- `npm start` - Start development server
+- `npm build` - Build for production
+- `npm test` - Run tests
+- `npm run eject` - Eject from Create React App
+
+### Environment Variables
+
+Create a `.env` file in the admin-frontend directory:
+
+```
+REACT_APP_API_URL=http://localhost:8000/api
+REACT_APP_WS_URL=ws://localhost:8000/ws
+```
+
+## API Integration
+
+The admin interface communicates with the FastAPI backend through:
+
+- **REST API**: CRUD operations and data retrieval
+- **WebSocket**: Real-time updates for activity feeds and metrics
+- **Authentication**: JWT-based session management
+
+Key API endpoints:
+- `/api/dashboard/*` - Dashboard metrics and activity
+- `/api/characters/*` - Character management
+- `/api/conversations/*` - Conversation browsing
+- `/api/analytics/*` - Community insights
+- `/api/system/*` - System controls
+
+## Features in Development
+
+### Phase 2 (Analytics & Insights)
+- Advanced relationship network visualization
+- Topic trend analysis with NLP
+- Predictive analytics for character behavior
+- Community health scoring algorithms
+
+### Phase 3 (Management Tools)
+- Character personality editor
+- Conversation intervention tools
+- Memory management interface
+- Backup and restore functionality
+
+### Phase 4 (Advanced Features)
+- Content moderation dashboard
+- A/B testing for character modifications
+- Export and reporting tools
+- Mobile-responsive design improvements
+
+## Contributing
+
+1. Follow the existing code style and TypeScript patterns
+2. Use functional components with hooks
+3. Implement proper error handling and loading states
+4. Write meaningful commit messages
+5. Test thoroughly before submitting changes
+
+## Architecture Notes
+
+### State Management
+- Global state via React Context (Auth, WebSocket)
+- Local component state for UI interactions
+- Server state cached via React Query (future enhancement)
+
+### Real-time Updates
+- WebSocket connection for live activity feeds
+- Automatic reconnection handling
+- Toast notifications for important events
+
+### Security
+- JWT token authentication with automatic refresh
+- Protected routes with auth guards
+- CORS protection and API rate limiting
+
+### Performance
+- Code splitting and lazy loading
+- Optimized re-renders with React.memo
+- Efficient WebSocket message handling
+- Image optimization and caching
--- a/admin-frontend/package.json
+++ b/admin-frontend/package.json
@@ -0,0 +1,59 @@
+{
+  "name": "discord-fishbowl-admin",
+  "version": "1.0.0",
+  "private": true,
+  "dependencies": {
+    "@types/node": "^20.0.0",
+    "@types/react": "^18.2.0",
+    "@types/react-dom": "^18.2.0",
+    "react": "^18.2.0",
+    "react-dom": "^18.2.0",
+    "react-router-dom": "^6.8.0",
+    "react-scripts": "5.0.1",
+    "typescript": "^5.0.0",
+    "web-vitals": "^3.0.0",
+    "@tailwindcss/forms": "^0.5.0",
+    "tailwindcss": "^3.3.0",
+    "autoprefixer": "^10.4.0",
+    "postcss": "^8.4.0",
+    "axios": "^1.6.0",
+    "socket.io-client": "^4.7.0",
+    "recharts": "^2.8.0",
+    "lucide-react": "^0.294.0",
+    "react-hot-toast": "^2.4.0",
+    "date-fns": "^2.30.0",
+    "clsx": "^2.0.0",
+    "@headlessui/react": "^1.7.0",
+    "react-hook-form": "^7.48.0",
+    "@hookform/resolvers": "^3.3.0",
+    "zod": "^3.22.0"
+  },
+  "scripts": {
+    "start": "react-scripts start",
+    "build": "react-scripts build",
+    "test": "react-scripts test",
+    "eject": "react-scripts eject"
+  },
+  "eslintConfig": {
+    "extends": [
+      "react-app",
+      "react-app/jest"
+    ]
+  },
+  "browserslist": {
+    "production": [
+      ">0.2%",
+      "not dead",
+      "not op_mini all"
+    ],
+    "development": [
+      "last 1 chrome version",
+      "last 1 firefox version",
+      "last 1 safari version"
+    ]
+  },
+  "devDependencies": {
+    "@types/jest": "^29.0.0"
+  },
+  "proxy": "http://localhost:8000"
+}
--- a/admin-frontend/public/index.html
+++ b/admin-frontend/public/index.html
@@ -0,0 +1,18 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <meta name="theme-color" content="#000000" />
+    <meta
+      name="description"
+      content="Discord Fishbowl Admin Interface - Monitor and manage autonomous AI characters"
+    />
+    <title>Discord Fishbowl Admin</title>
+  </head>
+  <body>
+    <noscript>You need to enable JavaScript to run this app.</noscript>
+    <div id="root"></div>
+  </body>
+</html>
--- a/admin-frontend/src/App.tsx
+++ b/admin-frontend/src/App.tsx
@@ -0,0 +1,49 @@
+import React from 'react';
+import { Routes, Route, Navigate } from 'react-router-dom';
+import { useAuth } from './contexts/AuthContext';
+import Layout from './components/Layout/Layout';
+import LoginPage from './pages/LoginPage';
+import Dashboard from './pages/Dashboard';
+import Characters from './pages/Characters';
+import CharacterDetail from './pages/CharacterDetail';
+import Conversations from './pages/Conversations';
+import ConversationDetail from './pages/ConversationDetail';
+import Analytics from './pages/Analytics';
+import SystemStatus from './pages/SystemStatus';
+import Settings from './pages/Settings';
+import LoadingSpinner from './components/Common/LoadingSpinner';
+
+function App() {
+  const { user, loading } = useAuth();
+
+  if (loading) {
+    return (
+      <div className="min-h-screen flex items-center justify-center">
+        <LoadingSpinner size="lg" />
+      </div>
+    );
+  }
+
+  if (!user) {
+    return <LoginPage />;
+  }
+
+  return (
+    <Layout>
+      <Routes>
+        <Route path="/" element={<Navigate to="/dashboard" replace />} />
+        <Route path="/dashboard" element={<Dashboard />} />
+        <Route path="/characters" element={<Characters />} />
+        <Route path="/characters/:characterName" element={<CharacterDetail />} />
+        <Route path="/conversations" element={<Conversations />} />
+        <Route path="/conversations/:conversationId" element={<ConversationDetail />} />
+        <Route path="/analytics" element={<Analytics />} />
+        <Route path="/system" element={<SystemStatus />} />
+        <Route path="/settings" element={<Settings />} />
+        <Route path="*" element={<Navigate to="/dashboard" replace />} />
+      </Routes>
+    </Layout>
+  );
+}
+
+export default App;
--- a/admin-frontend/src/components/Common/LoadingSpinner.tsx
+++ b/admin-frontend/src/components/Common/LoadingSpinner.tsx
@@ -0,0 +1,32 @@
+import React from 'react';
+import { Loader2 } from 'lucide-react';
+import clsx from 'clsx';
+
+interface LoadingSpinnerProps {
+  size?: 'sm' | 'md' | 'lg';
+  className?: string;
+  text?: string;
+}
+
+const LoadingSpinner: React.FC<LoadingSpinnerProps> = ({ 
+  size = 'md', 
+  className = '',
+  text 
+}) => {
+  const sizeClasses = {
+    sm: 'w-4 h-4',
+    md: 'w-6 h-6',
+    lg: 'w-8 h-8'
+  };
+
+  return (
+    <div className={clsx('flex items-center justify-center', className)}>
+      <div className="flex flex-col items-center space-y-2">
+        <Loader2 className={clsx('animate-spin text-primary-600', sizeClasses[size])} />
+        {text && <p className="text-sm text-gray-600">{text}</p>}
+      </div>
+    </div>
+  );
+};
+
+export default LoadingSpinner;
--- a/admin-frontend/src/components/Layout/Header.tsx
+++ b/admin-frontend/src/components/Layout/Header.tsx
@@ -0,0 +1,87 @@
+import React from 'react';
+import { Bell, Search, User, LogOut, Wifi, WifiOff } from 'lucide-react';
+import { useAuth } from '../../contexts/AuthContext';
+import { useWebSocket } from '../../contexts/WebSocketContext';
+import clsx from 'clsx';
+
+const Header: React.FC = () => {
+  const { user, logout } = useAuth();
+  const { connected, activityFeed } = useWebSocket();
+
+  const unreadActivities = activityFeed.filter(
+    activity => activity.severity === 'warning' || activity.severity === 'error'
+  ).length;
+
+  return (
+    <header className="bg-white border-b border-gray-200">
+      <div className="flex items-center justify-between px-6 py-4">
+        {/* Search */}
+        <div className="flex-1 max-w-lg">
+          <div className="relative">
+            <div className="absolute inset-y-0 left-0 flex items-center pl-3 pointer-events-none">
+              <Search className="w-5 h-5 text-gray-400" />
+            </div>
+            <input
+              type="text"
+              className="block w-full pl-10 pr-3 py-2 border border-gray-300 rounded-lg placeholder-gray-500 focus:outline-none focus:ring-1 focus:ring-primary-500 focus:border-primary-500"
+              placeholder="Search characters, conversations..."
+            />
+          </div>
+        </div>
+
+        {/* Right section */}
+        <div className="flex items-center space-x-4">
+          {/* WebSocket status */}
+          <div className="flex items-center space-x-2">
+            {connected ? (
+              <Wifi className="w-5 h-5 text-green-500" />
+            ) : (
+              <WifiOff className="w-5 h-5 text-red-500" />
+            )}
+            <span className={clsx(
+              'text-sm font-medium',
+              connected ? 'text-green-600' : 'text-red-600'
+            )}>
+              {connected ? 'Connected' : 'Disconnected'}
+            </span>
+          </div>
+
+          {/* Notifications */}
+          <div className="relative">
+            <button className="p-2 text-gray-400 hover:text-gray-600 relative">
+              <Bell className="w-6 h-6" />
+              {unreadActivities > 0 && (
+                <span className="absolute -top-1 -right-1 inline-flex items-center justify-center px-2 py-1 text-xs font-bold leading-none text-white transform translate-x-1/2 -translate-y-1/2 bg-red-600 rounded-full">
+                  {unreadActivities}
+                </span>
+              )}
+            </button>
+          </div>
+
+          {/* User menu */}
+          <div className="flex items-center space-x-3">
+            <div className="flex items-center space-x-2">
+              <div className="w-8 h-8 bg-primary-100 rounded-full flex items-center justify-center">
+                <User className="w-5 h-5 text-primary-600" />
+              </div>
+              <div className="hidden md:block">
+                <p className="text-sm font-medium text-gray-900">{user?.username}</p>
+                <p className="text-xs text-gray-500">Administrator</p>
+              </div>
+            </div>
+            
+            <button
+              onClick={logout}
+              className="p-2 text-gray-400 hover:text-gray-600"
+              title="Logout"
+            >
+              <LogOut className="w-5 h-5" />
+            </button>
+          </div>
+        </div>
+      </div>
+    </header>
+  );
+};
+
+export default Header;
--- a/admin-frontend/src/components/Layout/Layout.tsx
+++ b/admin-frontend/src/components/Layout/Layout.tsx
@@ -0,0 +1,30 @@
+import React, { ReactNode } from 'react';
+import Sidebar from './Sidebar';
+import Header from './Header';
+
+interface LayoutProps {
+  children: ReactNode;
+}
+
+const Layout: React.FC<LayoutProps> = ({ children }) => {
+  return (
+    <div className="min-h-screen bg-gray-50">
+      <div className="flex">
+        {/* Sidebar */}
+        <div className="hidden lg:flex lg:w-64 lg:flex-col lg:fixed lg:inset-y-0">
+          <Sidebar />
+        </div>
+
+        {/* Main content */}
+        <div className="flex flex-col flex-1 lg:pl-64">
+          <Header />
+          <main className="flex-1 p-6">
+            {children}
+          </main>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Layout;
--- a/admin-frontend/src/components/Layout/Sidebar.tsx
+++ b/admin-frontend/src/components/Layout/Sidebar.tsx
@@ -0,0 +1,77 @@
+import React from 'react';
+import { NavLink } from 'react-router-dom';
+import { 
+  LayoutDashboard, 
+  Users, 
+  MessageSquare, 
+  BarChart3, 
+  Settings, 
+  Monitor,
+  Palette,
+  Shield
+} from 'lucide-react';
+import clsx from 'clsx';
+
+const navigation = [
+  { name: 'Dashboard', href: '/dashboard', icon: LayoutDashboard },
+  { name: 'Characters', href: '/characters', icon: Users },
+  { name: 'Conversations', href: '/conversations', icon: MessageSquare },
+  { name: 'Analytics', href: '/analytics', icon: BarChart3 },
+  { name: 'Creative Works', href: '/creative', icon: Palette },
+  { name: 'System Status', href: '/system', icon: Monitor },
+  { name: 'Safety Tools', href: '/safety', icon: Shield },
+  { name: 'Settings', href: '/settings', icon: Settings },
+];
+
+const Sidebar: React.FC = () => {
+  return (
+    <div className="flex flex-col flex-grow bg-white border-r border-gray-200">
+      {/* Logo */}
+      <div className="flex items-center flex-shrink-0 px-4 py-6">
+        <div className="flex items-center space-x-3">
+          <div className="w-8 h-8 bg-primary-600 rounded-lg flex items-center justify-center">
+            <span className="text-white font-bold text-sm">DF</span>
+          </div>
+          <div>
+            <h1 className="text-lg font-semibold text-gray-900">Fishbowl Admin</h1>
+            <p className="text-xs text-gray-500">Character Ecosystem</p>
+          </div>
+        </div>
+      </div>
+
+      {/* Navigation */}
+      <nav className="flex-1 px-3 pb-4 space-y-1">
+        {navigation.map((item) => (
+          <NavLink
+            key={item.name}
+            to={item.href}
+            className={({ isActive }) =>
+              clsx(
+                'sidebar-link',
+                isActive ? 'sidebar-link-active' : 'sidebar-link-inactive'
+              )
+            }
+          >
+            <item.icon className="w-5 h-5 mr-3" />
+            {item.name}
+          </NavLink>
+        ))}
+      </nav>
+
+      {/* System Status Indicator */}
+      <div className="flex-shrink-0 p-4 border-t border-gray-200">
+        <div className="flex items-center space-x-3 text-sm">
+          <div className="flex items-center space-x-2">
+            <div className="status-dot status-online"></div>
+            <span className="text-gray-600">System Online</span>
+          </div>
+        </div>
+        <div className="mt-2 text-xs text-gray-500">
+          Uptime: 2d 14h 32m
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Sidebar;
--- a/admin-frontend/src/contexts/AuthContext.tsx
+++ b/admin-frontend/src/contexts/AuthContext.tsx
@@ -0,0 +1,114 @@
+import React, { createContext, useContext, useState, useEffect, ReactNode } from 'react';
+import { apiClient } from '../services/api';
+
+interface User {
+  username: string;
+  permissions: string[];
+  lastLogin?: string;
+}
+
+interface AuthContextType {
+  user: User | null;
+  login: (username: string, password: string) => Promise<void>;
+  logout: () => Promise<void>;
+  loading: boolean;
+}
+
+const AuthContext = createContext<AuthContextType | undefined>(undefined);
+
+export const useAuth = () => {
+  const context = useContext(AuthContext);
+  if (context === undefined) {
+    throw new Error('useAuth must be used within an AuthProvider');
+  }
+  return context;
+};
+
+interface AuthProviderProps {
+  children: ReactNode;
+}
+
+export const AuthProvider: React.FC<AuthProviderProps> = ({ children }) => {
+  const [user, setUser] = useState<User | null>(null);
+  const [loading, setLoading] = useState(true);
+
+  useEffect(() => {
+    // Check for existing auth token on app load
+    const token = localStorage.getItem('authToken');
+    if (token) {
+      // Verify token with backend
+      verifyToken(token);
+    } else {
+      setLoading(false);
+    }
+  }, []);
+
+  const verifyToken = async (token: string) => {
+    try {
+      apiClient.setAuthToken(token);
+      // Make a request to verify the token
+      const response = await apiClient.get('/api/dashboard/metrics');
+      if (response.status === 200) {
+        // Token is valid, set user from token payload
+        const payload = JSON.parse(atob(token.split('.')[1]));
+        setUser({
+          username: payload.sub,
+          permissions: payload.permissions || [],
+          lastLogin: new Date().toISOString()
+        });
+      }
+    } catch (error) {
+      // Token is invalid, remove it
+      localStorage.removeItem('authToken');
+      apiClient.clearAuthToken();
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  const login = async (username: string, password: string) => {
+    try {
+      const response = await apiClient.post('/api/auth/login', {
+        username,
+        password
+      });
+
+      const { access_token } = response.data;
+      
+      // Store token
+      localStorage.setItem('authToken', access_token);
+      apiClient.setAuthToken(access_token);
+
+      // Decode token to get user info
+      const payload = JSON.parse(atob(access_token.split('.')[1]));
+      setUser({
+        username: payload.sub,
+        permissions: payload.permissions || [],
+        lastLogin: new Date().toISOString()
+      });
+    } catch (error: any) {
+      throw new Error(error.response?.data?.detail || 'Login failed');
+    }
+  };
+
+  const logout = async () => {
+    try {
+      await apiClient.post('/api/auth/logout');
+    } catch (error) {
+      // Ignore logout errors
+    } finally {
+      localStorage.removeItem('authToken');
+      apiClient.clearAuthToken();
+      setUser(null);
+    }
+  };
+
+  const value = {
+    user,
+    login,
+    logout,
+    loading
+  };
+
+  return <AuthContext.Provider value={value}>{children}</AuthContext.Provider>;
+};
--- a/admin-frontend/src/contexts/WebSocketContext.tsx
+++ b/admin-frontend/src/contexts/WebSocketContext.tsx
@@ -0,0 +1,140 @@
+import React, { createContext, useContext, useEffect, useState, ReactNode } from 'react';
+import { io, Socket } from 'socket.io-client';
+import toast from 'react-hot-toast';
+
+interface WebSocketContextType {
+  socket: Socket | null;
+  connected: boolean;
+  activityFeed: ActivityEvent[];
+  lastMetrics: DashboardMetrics | null;
+}
+
+interface ActivityEvent {
+  id: string;
+  type: string;
+  timestamp: string;
+  character_name?: string;
+  description: string;
+  metadata?: any;
+  severity: string;
+}
+
+interface DashboardMetrics {
+  total_messages_today: number;
+  active_conversations: number;
+  characters_online: number;
+  characters_total: number;
+  average_response_time: number;
+  system_uptime: string;
+  memory_usage: any;
+  database_health: string;
+  llm_api_calls_today: number;
+  llm_api_cost_today: number;
+  last_updated: string;
+}
+
+const WebSocketContext = createContext<WebSocketContextType | undefined>(undefined);
+
+export const useWebSocket = () => {
+  const context = useContext(WebSocketContext);
+  if (context === undefined) {
+    throw new Error('useWebSocket must be used within a WebSocketProvider');
+  }
+  return context;
+};
+
+interface WebSocketProviderProps {
+  children: ReactNode;
+}
+
+export const WebSocketProvider: React.FC<WebSocketProviderProps> = ({ children }) => {
+  const [socket, setSocket] = useState<Socket | null>(null);
+  const [connected, setConnected] = useState(false);
+  const [activityFeed, setActivityFeed] = useState<ActivityEvent[]>([]);
+  const [lastMetrics, setLastMetrics] = useState<DashboardMetrics | null>(null);
+
+  useEffect(() => {
+    // Initialize WebSocket connection
+    const newSocket = io('/ws', {
+      transports: ['websocket'],
+      upgrade: true
+    });
+
+    newSocket.on('connect', () => {
+      setConnected(true);
+      console.log('WebSocket connected');
+    });
+
+    newSocket.on('disconnect', () => {
+      setConnected(false);
+      console.log('WebSocket disconnected');
+    });
+
+    newSocket.on('activity_update', (data: ActivityEvent) => {
+      setActivityFeed(prev => [data, ...prev.slice(0, 99)]); // Keep last 100 activities
+      
+      // Show notification for important activities
+      if (data.severity === 'warning' || data.severity === 'error') {
+        toast(data.description, {
+          icon: data.severity === 'error' ? '🚨' : '⚠️',
+          duration: 6000
+        });
+      }
+    });
+
+    newSocket.on('metrics_update', (data: DashboardMetrics) => {
+      setLastMetrics(data);
+    });
+
+    newSocket.on('character_update', (data: any) => {
+      toast(`${data.character_name}: ${data.data.status}`, {
+        icon: '👤',
+        duration: 3000
+      });
+    });
+
+    newSocket.on('conversation_update', (data: any) => {
+      // Handle conversation updates
+      console.log('Conversation update:', data);
+    });
+
+    newSocket.on('system_alert', (data: any) => {
+      toast.error(`System Alert: ${data.alert_type}`, {
+        duration: 8000
+      });
+    });
+
+    newSocket.on('system_paused', () => {
+      toast('System has been paused', {
+        icon: '⏸️',
+        duration: 5000
+      });
+    });
+
+    newSocket.on('system_resumed', () => {
+      toast('System has been resumed', {
+        icon: '▶️',
+        duration: 5000
+      });
+    });
+
+    setSocket(newSocket);
+
+    return () => {
+      newSocket.close();
+    };
+  }, []);
+
+  const value = {
+    socket,
+    connected,
+    activityFeed,
+    lastMetrics
+  };
+
+  return (
+    <WebSocketContext.Provider value={value}>
+      {children}
+    </WebSocketContext.Provider>
+  );
+};
--- a/admin-frontend/src/index.css
+++ b/admin-frontend/src/index.css
@@ -0,0 +1,67 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+@layer base {
+  html {
+    font-family: 'Inter', system-ui, sans-serif;
+  }
+  
+  body {
+    @apply bg-gray-50 text-gray-900;
+  }
+}
+
+@layer components {
+  .btn-primary {
+    @apply bg-primary-600 hover:bg-primary-700 text-white px-4 py-2 rounded-lg font-medium transition-colors;
+  }
+  
+  .btn-secondary {
+    @apply bg-secondary-100 hover:bg-secondary-200 text-secondary-700 px-4 py-2 rounded-lg font-medium transition-colors;
+  }
+  
+  .card {
+    @apply bg-white rounded-lg shadow-sm border border-gray-200 p-6;
+  }
+  
+  .metric-card {
+    @apply bg-white rounded-lg shadow-sm border border-gray-200 p-4 hover:shadow-md transition-shadow;
+  }
+  
+  .status-dot {
+    @apply inline-block w-2 h-2 rounded-full;
+  }
+  
+  .status-online {
+    @apply bg-green-500;
+  }
+  
+  .status-idle {
+    @apply bg-yellow-500;
+  }
+  
+  .status-offline {
+    @apply bg-gray-400;
+  }
+  
+  .status-paused {
+    @apply bg-red-500;
+  }
+  
+  .activity-item {
+    @apply flex items-start space-x-3 p-3 hover:bg-gray-50 rounded-lg transition-colors;
+  }
+  
+  .sidebar-link {
+    @apply flex items-center px-3 py-2 text-sm font-medium rounded-lg transition-colors;
+  }
+  
+  .sidebar-link-active {
+    @apply bg-primary-100 text-primary-700;
+  }
+  
+  .sidebar-link-inactive {
+    @apply text-gray-700 hover:bg-gray-100;
+  }
+}
--- a/admin-frontend/src/index.tsx
+++ b/admin-frontend/src/index.tsx
@@ -0,0 +1,34 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import { BrowserRouter } from 'react-router-dom';
+import './index.css';
+import App from './App';
+import { AuthProvider } from './contexts/AuthContext';
+import { WebSocketProvider } from './contexts/WebSocketContext';
+import { Toaster } from 'react-hot-toast';
+
+const root = ReactDOM.createRoot(
+  document.getElementById('root') as HTMLElement
+);
+
+root.render(
+  <React.StrictMode>
+    <BrowserRouter basename="/admin">
+      <AuthProvider>
+        <WebSocketProvider>
+          <App />
+          <Toaster 
+            position="top-right"
+            toastOptions={{
+              duration: 4000,
+              style: {
+                background: '#363636',
+                color: '#fff',
+              },
+            }}
+          />
+        </WebSocketProvider>
+      </AuthProvider>
+    </BrowserRouter>
+  </React.StrictMode>
+);
--- a/admin-frontend/src/pages/Analytics.tsx
+++ b/admin-frontend/src/pages/Analytics.tsx
@@ -0,0 +1,20 @@
+import React from 'react';
+import { BarChart3 } from 'lucide-react';
+
+const Analytics: React.FC = () => {
+  return (
+    <div className="space-y-6">
+      <div>
+        <h1 className="text-2xl font-bold text-gray-900">Analytics</h1>
+        <p className="text-gray-600">Community insights and trends</p>
+      </div>
+      <div className="card text-center py-12">
+        <BarChart3 className="w-12 h-12 mx-auto text-gray-400 mb-4" />
+        <h3 className="text-lg font-medium text-gray-900 mb-2">Analytics Dashboard</h3>
+        <p className="text-gray-600">This page will show detailed analytics and trends</p>
+      </div>
+    </div>
+  );
+};
+
+export default Analytics;
--- a/admin-frontend/src/pages/CharacterDetail.tsx
+++ b/admin-frontend/src/pages/CharacterDetail.tsx
@@ -0,0 +1,17 @@
+import React from 'react';
+import { useParams } from 'react-router-dom';
+
+const CharacterDetail: React.FC = () => {
+  const { characterName } = useParams<{ characterName: string }>();
+
+  return (
+    <div className="space-y-6">
+      <h1 className="text-2xl font-bold text-gray-900">Character: {characterName}</h1>
+      <div className="card">
+        <p className="text-gray-600">Character detail page - to be implemented</p>
+      </div>
+    </div>
+  );
+};
+
+export default CharacterDetail;
--- a/admin-frontend/src/pages/Characters.tsx
+++ b/admin-frontend/src/pages/Characters.tsx
@@ -0,0 +1,190 @@
+import React, { useState, useEffect } from 'react';
+import { Link } from 'react-router-dom';
+import { Users, Search, Pause, Play, Settings } from 'lucide-react';
+import { apiClient } from '../services/api';
+import LoadingSpinner from '../components/Common/LoadingSpinner';
+
+interface Character {
+  name: string;
+  status: string;
+  total_messages: number;
+  total_conversations: number;
+  memory_count: number;
+  relationship_count: number;
+  creativity_score: number;
+  social_score: number;
+  last_active?: string;
+}
+
+const Characters: React.FC = () => {
+  const [characters, setCharacters] = useState<Character[]>([]);
+  const [loading, setLoading] = useState(true);
+  const [searchTerm, setSearchTerm] = useState('');
+
+  useEffect(() => {
+    loadCharacters();
+  }, []);
+
+  const loadCharacters = async () => {
+    try {
+      const response = await apiClient.getCharacters();
+      setCharacters(response.data);
+    } catch (error) {
+      console.error('Failed to load characters:', error);
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  const getStatusColor = (status: string) => {
+    switch (status) {
+      case 'active': return 'status-online';
+      case 'idle': return 'status-idle';
+      case 'paused': return 'status-paused';
+      default: return 'status-offline';
+    }
+  };
+
+  const filteredCharacters = characters.filter(character =>
+    character.name.toLowerCase().includes(searchTerm.toLowerCase())
+  );
+
+  if (loading) {
+    return (
+      <div className="flex items-center justify-center h-64">
+        <LoadingSpinner size="lg" text="Loading characters..." />
+      </div>
+    );
+  }
+
+  return (
+    <div className="space-y-6">
+      {/* Header */}
+      <div className="flex items-center justify-between">
+        <div>
+          <h1 className="text-2xl font-bold text-gray-900">Characters</h1>
+          <p className="text-gray-600">Manage and monitor AI character profiles</p>
+        </div>
+        <button className="btn-primary">
+          <Users className="w-4 h-4 mr-2" />
+          Add Character
+        </button>
+      </div>
+
+      {/* Search */}
+      <div className="relative max-w-md">
+        <div className="absolute inset-y-0 left-0 flex items-center pl-3">
+          <Search className="w-5 h-5 text-gray-400" />
+        </div>
+        <input
+          type="text"
+          value={searchTerm}
+          onChange={(e) => setSearchTerm(e.target.value)}
+          className="block w-full pl-10 pr-3 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-1 focus:ring-primary-500"
+          placeholder="Search characters..."
+        />
+      </div>
+
+      {/* Characters Grid */}
+      <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
+        {filteredCharacters.map((character) => (
+          <div key={character.name} className="card hover:shadow-md transition-shadow">
+            <div className="flex items-start justify-between mb-4">
+              <div className="flex items-center space-x-3">
+                <div className="w-12 h-12 bg-gradient-to-br from-primary-500 to-purple-600 rounded-lg flex items-center justify-center">
+                  <span className="text-white font-bold text-lg">
+                    {character.name.charAt(0).toUpperCase()}
+                  </span>
+                </div>
+                <div>
+                  <h3 className="text-lg font-semibold text-gray-900">{character.name}</h3>
+                  <div className="flex items-center space-x-2">
+                    <div className={`status-dot ${getStatusColor(character.status)}`}></div>
+                    <span className="text-sm text-gray-600 capitalize">{character.status}</span>
+                  </div>
+                </div>
+              </div>
+              <div className="flex space-x-1">
+                <button className="p-1 text-gray-400 hover:text-gray-600">
+                  {character.status === 'paused' ? (
+                    <Play className="w-4 h-4" />
+                  ) : (
+                    <Pause className="w-4 h-4" />
+                  )}
+                </button>
+                <button className="p-1 text-gray-400 hover:text-gray-600">
+                  <Settings className="w-4 h-4" />
+                </button>
+              </div>
+            </div>
+
+            {/* Stats */}
+            <div className="grid grid-cols-2 gap-4 mb-4">
+              <div>
+                <p className="text-sm text-gray-600">Messages</p>
+                <p className="text-lg font-semibold text-gray-900">{character.total_messages}</p>
+              </div>
+              <div>
+                <p className="text-sm text-gray-600">Conversations</p>
+                <p className="text-lg font-semibold text-gray-900">{character.total_conversations}</p>
+              </div>
+              <div>
+                <p className="text-sm text-gray-600">Memories</p>
+                <p className="text-lg font-semibold text-gray-900">{character.memory_count}</p>
+              </div>
+              <div>
+                <p className="text-sm text-gray-600">Relationships</p>
+                <p className="text-lg font-semibold text-gray-900">{character.relationship_count}</p>
+              </div>
+            </div>
+
+            {/* Scores */}
+            <div className="space-y-2 mb-4">
+              <div className="flex items-center justify-between text-sm">
+                <span className="text-gray-600">Creativity</span>
+                <span className="font-medium">{Math.round(character.creativity_score * 100)}%</span>
+              </div>
+              <div className="w-full bg-gray-200 rounded-full h-2">
+                <div 
+                  className="bg-purple-500 h-2 rounded-full" 
+                  style={{ width: `${character.creativity_score * 100}%` }}
+                ></div>
+              </div>
+              
+              <div className="flex items-center justify-between text-sm">
+                <span className="text-gray-600">Social</span>
+                <span className="font-medium">{Math.round(character.social_score * 100)}%</span>
+              </div>
+              <div className="w-full bg-gray-200 rounded-full h-2">
+                <div 
+                  className="bg-blue-500 h-2 rounded-full" 
+                  style={{ width: `${character.social_score * 100}%` }}
+                ></div>
+              </div>
+            </div>
+
+            {/* Action */}
+            <Link
+              to={`/characters/${character.name}`}
+              className="block w-full text-center btn-secondary"
+            >
+              View Details
+            </Link>
+          </div>
+        ))}
+      </div>
+
+      {filteredCharacters.length === 0 && (
+        <div className="text-center py-12">
+          <Users className="w-12 h-12 mx-auto text-gray-400 mb-4" />
+          <h3 className="text-lg font-medium text-gray-900 mb-2">No characters found</h3>
+          <p className="text-gray-600">
+            {searchTerm ? 'Try adjusting your search terms.' : 'Get started by adding your first character.'}
+          </p>
+        </div>
+      )}
+    </div>
+  );
+};
+
+export default Characters;
--- a/admin-frontend/src/pages/ConversationDetail.tsx
+++ b/admin-frontend/src/pages/ConversationDetail.tsx
@@ -0,0 +1,17 @@
+import React from 'react';
+import { useParams } from 'react-router-dom';
+
+const ConversationDetail: React.FC = () => {
+  const { conversationId } = useParams<{ conversationId: string }>();
+
+  return (
+    <div className="space-y-6">
+      <h1 className="text-2xl font-bold text-gray-900">Conversation #{conversationId}</h1>
+      <div className="card">
+        <p className="text-gray-600">Conversation detail page - to be implemented</p>
+      </div>
+    </div>
+  );
+};
+
+export default ConversationDetail;
--- a/admin-frontend/src/pages/Conversations.tsx
+++ b/admin-frontend/src/pages/Conversations.tsx
@@ -0,0 +1,20 @@
+import React from 'react';
+import { MessageSquare } from 'lucide-react';
+
+const Conversations: React.FC = () => {
+  return (
+    <div className="space-y-6">
+      <div>
+        <h1 className="text-2xl font-bold text-gray-900">Conversations</h1>
+        <p className="text-gray-600">Browse and analyze character conversations</p>
+      </div>
+      <div className="card text-center py-12">
+        <MessageSquare className="w-12 h-12 mx-auto text-gray-400 mb-4" />
+        <h3 className="text-lg font-medium text-gray-900 mb-2">Conversations Browser</h3>
+        <p className="text-gray-600">This page will show conversation history and analytics</p>
+      </div>
+    </div>
+  );
+};
+
+export default Conversations;
--- a/admin-frontend/src/pages/Dashboard.tsx
+++ b/admin-frontend/src/pages/Dashboard.tsx
@@ -0,0 +1,258 @@
+import React, { useState, useEffect } from 'react';
+import { 
+  Users, 
+  MessageSquare, 
+  Activity, 
+  Clock, 
+  TrendingUp, 
+  AlertCircle,
+  CheckCircle,
+  Zap
+} from 'lucide-react';
+import { useWebSocket } from '../contexts/WebSocketContext';
+import { apiClient } from '../services/api';
+import LoadingSpinner from '../components/Common/LoadingSpinner';
+import { LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, ResponsiveContainer } from 'recharts';
+
+interface DashboardMetrics {
+  total_messages_today: number;
+  active_conversations: number;
+  characters_online: number;
+  characters_total: number;
+  average_response_time: number;
+  system_uptime: string;
+  memory_usage: any;
+  database_health: string;
+  llm_api_calls_today: number;
+  llm_api_cost_today: number;
+  last_updated: string;
+}
+
+const Dashboard: React.FC = () => {
+  const [metrics, setMetrics] = useState<DashboardMetrics | null>(null);
+  const [loading, setLoading] = useState(true);
+  const [systemHealth, setSystemHealth] = useState<any>(null);
+  const { activityFeed, lastMetrics } = useWebSocket();
+
+  useEffect(() => {
+    loadDashboardData();
+  }, []);
+
+  useEffect(() => {
+    // Update metrics from WebSocket
+    if (lastMetrics) {
+      setMetrics(lastMetrics);
+    }
+  }, [lastMetrics]);
+
+  const loadDashboardData = async () => {
+    try {
+      const [metricsResponse, healthResponse] = await Promise.all([
+        apiClient.getDashboardMetrics(),
+        apiClient.getSystemHealth()
+      ]);
+      
+      setMetrics(metricsResponse.data);
+      setSystemHealth(healthResponse.data);
+    } catch (error) {
+      console.error('Failed to load dashboard data:', error);
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  if (loading) {
+    return (
+      <div className="flex items-center justify-center h-64">
+        <LoadingSpinner size="lg" text="Loading dashboard..." />
+      </div>
+    );
+  }
+
+  // Sample data for activity chart
+  const activityData = [
+    { time: '00:00', messages: 12, conversations: 3 },
+    { time: '04:00', messages: 8, conversations: 2 },
+    { time: '08:00', messages: 24, conversations: 6 },
+    { time: '12:00', messages: 35, conversations: 8 },
+    { time: '16:00', messages: 28, conversations: 7 },
+    { time: '20:00', messages: 31, conversations: 9 },
+  ];
+
+  return (
+    <div className="space-y-6">
+      {/* Header */}
+      <div>
+        <h1 className="text-2xl font-bold text-gray-900">Dashboard</h1>
+        <p className="text-gray-600">Monitor your autonomous character ecosystem</p>
+      </div>
+
+      {/* Metrics Cards */}
+      <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-4 gap-6">
+        <div className="metric-card">
+          <div className="flex items-center justify-between">
+            <div>
+              <p className="text-sm font-medium text-gray-600">Messages Today</p>
+              <p className="text-2xl font-bold text-gray-900">{metrics?.total_messages_today || 0}</p>
+            </div>
+            <div className="w-10 h-10 bg-blue-100 rounded-lg flex items-center justify-center">
+              <MessageSquare className="w-5 h-5 text-blue-600" />
+            </div>
+          </div>
+          <div className="mt-2 flex items-center text-sm">
+            <TrendingUp className="w-4 h-4 text-green-500 mr-1" />
+            <span className="text-green-600">+12%</span>
+            <span className="text-gray-500 ml-2">from yesterday</span>
+          </div>
+        </div>
+
+        <div className="metric-card">
+          <div className="flex items-center justify-between">
+            <div>
+              <p className="text-sm font-medium text-gray-600">Active Characters</p>
+              <p className="text-2xl font-bold text-gray-900">
+                {metrics?.characters_online || 0}/{metrics?.characters_total || 0}
+              </p>
+            </div>
+            <div className="w-10 h-10 bg-green-100 rounded-lg flex items-center justify-center">
+              <Users className="w-5 h-5 text-green-600" />
+            </div>
+          </div>
+          <div className="mt-2 flex items-center text-sm">
+            <div className="status-dot status-online mr-2"></div>
+            <span className="text-gray-600">All systems operational</span>
+          </div>
+        </div>
+
+        <div className="metric-card">
+          <div className="flex items-center justify-between">
+            <div>
+              <p className="text-sm font-medium text-gray-600">Active Conversations</p>
+              <p className="text-2xl font-bold text-gray-900">{metrics?.active_conversations || 0}</p>
+            </div>
+            <div className="w-10 h-10 bg-purple-100 rounded-lg flex items-center justify-center">
+              <Activity className="w-5 h-5 text-purple-600" />
+            </div>
+          </div>
+          <div className="mt-2 flex items-center text-sm">
+            <span className="text-gray-600">Avg. length: 8.2 messages</span>
+          </div>
+        </div>
+
+        <div className="metric-card">
+          <div className="flex items-center justify-between">
+            <div>
+              <p className="text-sm font-medium text-gray-600">Response Time</p>
+              <p className="text-2xl font-bold text-gray-900">{metrics?.average_response_time || 0}s</p>
+            </div>
+            <div className="w-10 h-10 bg-orange-100 rounded-lg flex items-center justify-center">
+              <Zap className="w-5 h-5 text-orange-600" />
+            </div>
+          </div>
+          <div className="mt-2 flex items-center text-sm">
+            <CheckCircle className="w-4 h-4 text-green-500 mr-1" />
+            <span className="text-green-600">Excellent</span>
+          </div>
+        </div>
+      </div>
+
+      {/* Charts and Activity */}
+      <div className="grid grid-cols-1 lg:grid-cols-2 gap-6">
+        {/* Activity Chart */}
+        <div className="card">
+          <h3 className="text-lg font-semibold text-gray-900 mb-4">Activity Over Time</h3>
+          <ResponsiveContainer width="100%" height={200}>
+            <LineChart data={activityData}>
+              <CartesianGrid strokeDasharray="3 3" />
+              <XAxis dataKey="time" />
+              <YAxis />
+              <Tooltip />
+              <Line 
+                type="monotone" 
+                dataKey="messages" 
+                stroke="#3B82F6" 
+                strokeWidth={2}
+                name="Messages"
+              />
+              <Line 
+                type="monotone" 
+                dataKey="conversations" 
+                stroke="#10B981" 
+                strokeWidth={2}
+                name="Conversations"
+              />
+            </LineChart>
+          </ResponsiveContainer>
+        </div>
+
+        {/* System Health */}
+        <div className="card">
+          <h3 className="text-lg font-semibold text-gray-900 mb-4">System Health</h3>
+          <div className="space-y-3">
+            <div className="flex items-center justify-between">
+              <span className="text-sm text-gray-600">Database</span>
+              <div className="flex items-center">
+                <CheckCircle className="w-4 h-4 text-green-500 mr-1" />
+                <span className="text-sm text-green-600">Healthy</span>
+              </div>
+            </div>
+            <div className="flex items-center justify-between">
+              <span className="text-sm text-gray-600">Memory Usage</span>
+              <span className="text-sm text-gray-900">
+                {systemHealth?.memory?.percent?.toFixed(1) || 0}%
+              </span>
+            </div>
+            <div className="flex items-center justify-between">
+              <span className="text-sm text-gray-600">CPU Usage</span>
+              <span className="text-sm text-gray-900">
+                {systemHealth?.cpu?.usage_percent?.toFixed(1) || 0}%
+              </span>
+            </div>
+            <div className="flex items-center justify-between">
+              <span className="text-sm text-gray-600">Uptime</span>
+              <span className="text-sm text-gray-900">{metrics?.system_uptime || 'Unknown'}</span>
+            </div>
+          </div>
+        </div>
+      </div>
+
+      {/* Recent Activity */}
+      <div className="card">
+        <h3 className="text-lg font-semibold text-gray-900 mb-4">Recent Activity</h3>
+        <div className="space-y-3 max-h-64 overflow-y-auto">
+          {activityFeed.slice(0, 10).map((activity) => (
+            <div key={activity.id} className="activity-item">
+              <div className="flex-shrink-0">
+                {activity.severity === 'error' ? (
+                  <AlertCircle className="w-5 h-5 text-red-500" />
+                ) : activity.severity === 'warning' ? (
+                  <AlertCircle className="w-5 h-5 text-yellow-500" />
+                ) : (
+                  <Activity className="w-5 h-5 text-blue-500" />
+                )}
+              </div>
+              <div className="flex-1 min-w-0">
+                <p className="text-sm text-gray-900">{activity.description}</p>
+                <div className="flex items-center mt-1 text-xs text-gray-500">
+                  {activity.character_name && (
+                    <span className="mr-2">{activity.character_name}</span>
+                  )}
+                  <Clock className="w-3 h-3 mr-1" />
+                  <span>{new Date(activity.timestamp).toLocaleTimeString()}</span>
+                </div>
+              </div>
+            </div>
+          ))}
+          {activityFeed.length === 0 && (
+            <div className="text-center py-8 text-gray-500">
+              <Activity className="w-8 h-8 mx-auto mb-2 opacity-50" />
+              <p>No recent activity</p>
+            </div>
+          )}
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Dashboard;
--- a/admin-frontend/src/pages/LoginPage.tsx
+++ b/admin-frontend/src/pages/LoginPage.tsx
@@ -0,0 +1,130 @@
+import React, { useState } from 'react';
+import { useAuth } from '../contexts/AuthContext';
+import { Monitor, Users, MessageSquare } from 'lucide-react';
+import LoadingSpinner from '../components/Common/LoadingSpinner';
+import toast from 'react-hot-toast';
+
+const LoginPage: React.FC = () => {
+  const [username, setUsername] = useState('admin');
+  const [password, setPassword] = useState('');
+  const [loading, setLoading] = useState(false);
+  const { login } = useAuth();
+
+  const handleSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    if (!username || !password) {
+      toast.error('Please enter both username and password');
+      return;
+    }
+
+    setLoading(true);
+    try {
+      await login(username, password);
+      toast.success('Login successful!');
+    } catch (error: any) {
+      toast.error(error.message || 'Login failed');
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  return (
+    <div className="min-h-screen bg-gradient-to-br from-primary-50 to-secondary-100 flex items-center justify-center px-4">
+      <div className="max-w-md w-full">
+        {/* Logo and Title */}
+        <div className="text-center mb-8">
+          <div className="mx-auto w-16 h-16 bg-primary-600 rounded-xl flex items-center justify-center mb-4">
+            <Monitor className="w-8 h-8 text-white" />
+          </div>
+          <h1 className="text-3xl font-bold text-gray-900 mb-2">Discord Fishbowl</h1>
+          <p className="text-gray-600">Admin Interface</p>
+        </div>
+
+        {/* Features Preview */}
+        <div className="mb-8 grid grid-cols-3 gap-4">
+          <div className="text-center">
+            <div className="w-10 h-10 bg-blue-100 rounded-lg flex items-center justify-center mx-auto mb-2">
+              <Users className="w-5 h-5 text-blue-600" />
+            </div>
+            <p className="text-xs text-gray-600">Character Management</p>
+          </div>
+          <div className="text-center">
+            <div className="w-10 h-10 bg-green-100 rounded-lg flex items-center justify-center mx-auto mb-2">
+              <MessageSquare className="w-5 h-5 text-green-600" />
+            </div>
+            <p className="text-xs text-gray-600">Live Conversations</p>
+          </div>
+          <div className="text-center">
+            <div className="w-10 h-10 bg-purple-100 rounded-lg flex items-center justify-center mx-auto mb-2">
+              <Monitor className="w-5 h-5 text-purple-600" />
+            </div>
+            <p className="text-xs text-gray-600">Real-time Analytics</p>
+          </div>
+        </div>
+
+        {/* Login Form */}
+        <div className="bg-white rounded-xl shadow-lg p-8">
+          <form onSubmit={handleSubmit} className="space-y-6">
+            <div>
+              <label htmlFor="username" className="block text-sm font-medium text-gray-700 mb-2">
+                Username
+              </label>
+              <input
+                id="username"
+                type="text"
+                value={username}
+                onChange={(e) => setUsername(e.target.value)}
+                className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-primary-500 focus:border-primary-500"
+                placeholder="Enter your username"
+                disabled={loading}
+              />
+            </div>
+
+            <div>
+              <label htmlFor="password" className="block text-sm font-medium text-gray-700 mb-2">
+                Password
+              </label>
+              <input
+                id="password"
+                type="password"
+                value={password}
+                onChange={(e) => setPassword(e.target.value)}
+                className="w-full px-3 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-primary-500 focus:border-primary-500"
+                placeholder="Enter your password"
+                disabled={loading}
+              />
+            </div>
+
+            <button
+              type="submit"
+              disabled={loading}
+              className="w-full bg-primary-600 hover:bg-primary-700 text-white font-medium py-2 px-4 rounded-lg transition-colors disabled:opacity-50 disabled:cursor-not-allowed flex items-center justify-center"
+            >
+              {loading ? (
+                <LoadingSpinner size="sm" />
+              ) : (
+                'Sign In'
+              )}
+            </button>
+          </form>
+
+          {/* Demo credentials hint */}
+          <div className="mt-6 p-4 bg-gray-50 rounded-lg">
+            <p className="text-sm text-gray-600 text-center">
+              <strong>Demo credentials:</strong><br />
+              Username: admin<br />
+              Password: admin123
+            </p>
+          </div>
+        </div>
+
+        {/* Footer */}
+        <div className="text-center mt-8 text-sm text-gray-500">
+          Monitor and manage your autonomous AI character ecosystem
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default LoginPage;
--- a/admin-frontend/src/pages/Settings.tsx
+++ b/admin-frontend/src/pages/Settings.tsx
@@ -0,0 +1,20 @@
+import React from 'react';
+import { Settings as SettingsIcon } from 'lucide-react';
+
+const Settings: React.FC = () => {
+  return (
+    <div className="space-y-6">
+      <div>
+        <h1 className="text-2xl font-bold text-gray-900">Settings</h1>
+        <p className="text-gray-600">Configure system settings and preferences</p>
+      </div>
+      <div className="card text-center py-12">
+        <SettingsIcon className="w-12 h-12 mx-auto text-gray-400 mb-4" />
+        <h3 className="text-lg font-medium text-gray-900 mb-2">System Settings</h3>
+        <p className="text-gray-600">This page will show configuration options</p>
+      </div>
+    </div>
+  );
+};
+
+export default Settings;
--- a/admin-frontend/src/pages/SystemStatus.tsx
+++ b/admin-frontend/src/pages/SystemStatus.tsx
@@ -0,0 +1,20 @@
+import React from 'react';
+import { Monitor } from 'lucide-react';
+
+const SystemStatus: React.FC = () => {
+  return (
+    <div className="space-y-6">
+      <div>
+        <h1 className="text-2xl font-bold text-gray-900">System Status</h1>
+        <p className="text-gray-600">Monitor system health and performance</p>
+      </div>
+      <div className="card text-center py-12">
+        <Monitor className="w-12 h-12 mx-auto text-gray-400 mb-4" />
+        <h3 className="text-lg font-medium text-gray-900 mb-2">System Monitor</h3>
+        <p className="text-gray-600">This page will show system status and controls</p>
+      </div>
+    </div>
+  );
+};
+
+export default SystemStatus;
--- a/admin-frontend/src/services/api.ts
+++ b/admin-frontend/src/services/api.ts
@@ -0,0 +1,200 @@
+import axios, { AxiosInstance, AxiosRequestConfig } from 'axios';
+
+class ApiClient {
+  private client: AxiosInstance;
+  private authToken: string | null = null;
+
+  constructor() {
+    this.client = axios.create({
+      baseURL: process.env.NODE_ENV === 'production' ? '/api' : 'http://localhost:8000/api',
+      timeout: 10000,
+      headers: {
+        'Content-Type': 'application/json'
+      }
+    });
+
+    // Request interceptor to add auth token
+    this.client.interceptors.request.use(
+      (config) => {
+        if (this.authToken && config.headers) {
+          config.headers.Authorization = `Bearer ${this.authToken}`;
+        }
+        return config;
+      },
+      (error) => {
+        return Promise.reject(error);
+      }
+    );
+
+    // Response interceptor to handle auth errors
+    this.client.interceptors.response.use(
+      (response) => response,
+      (error) => {
+        if (error.response?.status === 401) {
+          // Handle unauthorized access
+          this.clearAuthToken();
+          window.location.href = '/admin/login';
+        }
+        return Promise.reject(error);
+      }
+    );
+  }
+
+  setAuthToken(token: string) {
+    this.authToken = token;
+  }
+
+  clearAuthToken() {
+    this.authToken = null;
+    localStorage.removeItem('authToken');
+  }
+
+  async get(url: string, config?: AxiosRequestConfig) {
+    return this.client.get(url, config);
+  }
+
+  async post(url: string, data?: any, config?: AxiosRequestConfig) {
+    return this.client.post(url, data, config);
+  }
+
+  async put(url: string, data?: any, config?: AxiosRequestConfig) {
+    return this.client.put(url, data, config);
+  }
+
+  async delete(url: string, config?: AxiosRequestConfig) {
+    return this.client.delete(url, config);
+  }
+
+  // Dashboard endpoints
+  async getDashboardMetrics() {
+    return this.get('/dashboard/metrics');
+  }
+
+  async getRecentActivity(limit = 50) {
+    return this.get(`/dashboard/activity?limit=${limit}`);
+  }
+
+  async getSystemHealth() {
+    return this.get('/dashboard/health');
+  }
+
+  // Character endpoints
+  async getCharacters() {
+    return this.get('/characters');
+  }
+
+  async getCharacter(characterName: string) {
+    return this.get(`/characters/${characterName}`);
+  }
+
+  async getCharacterRelationships(characterName: string) {
+    return this.get(`/characters/${characterName}/relationships`);
+  }
+
+  async getCharacterEvolution(characterName: string, days = 30) {
+    return this.get(`/characters/${characterName}/evolution?days=${days}`);
+  }
+
+  async getCharacterMemories(characterName: string, limit = 100, memoryType?: string) {
+    const params = new URLSearchParams({ limit: limit.toString() });
+    if (memoryType) params.append('memory_type', memoryType);
+    return this.get(`/characters/${characterName}/memories?${params}`);
+  }
+
+  async pauseCharacter(characterName: string) {
+    return this.post(`/characters/${characterName}/pause`);
+  }
+
+  async resumeCharacter(characterName: string) {
+    return this.post(`/characters/${characterName}/resume`);
+  }
+
+  // Conversation endpoints
+  async getConversations(filters: any = {}) {
+    const params = new URLSearchParams();
+    Object.keys(filters).forEach(key => {
+      if (filters[key] !== undefined && filters[key] !== '') {
+        params.append(key, filters[key].toString());
+      }
+    });
+    return this.get(`/conversations?${params}`);
+  }
+
+  async getConversation(conversationId: number) {
+    return this.get(`/conversations/${conversationId}`);
+  }
+
+  async searchConversations(query: string, limit = 50) {
+    return this.get(`/conversations/search?query=${encodeURIComponent(query)}&limit=${limit}`);
+  }
+
+  // Analytics endpoints
+  async getTopicTrends(days = 30) {
+    return this.get(`/analytics/topics?days=${days}`);
+  }
+
+  async getRelationshipAnalytics() {
+    return this.get('/analytics/relationships');
+  }
+
+  async getCommunityHealth() {
+    return this.get('/analytics/community');
+  }
+
+  async getEngagementMetrics(days = 30) {
+    return this.get(`/analytics/engagement?days=${days}`);
+  }
+
+  // System endpoints
+  async getSystemStatus() {
+    return this.get('/system/status');
+  }
+
+  async pauseSystem() {
+    return this.post('/system/pause');
+  }
+
+  async resumeSystem() {
+    return this.post('/system/resume');
+  }
+
+  async getSystemConfig() {
+    return this.get('/system/config');
+  }
+
+  async updateSystemConfig(config: any) {
+    return this.put('/system/config', config);
+  }
+
+  async getSystemLogs(limit = 100, level?: string) {
+    const params = new URLSearchParams({ limit: limit.toString() });
+    if (level) params.append('level', level);
+    return this.get(`/system/logs?${params}`);
+  }
+
+  // Content endpoints
+  async getCreativeWorks(filters: any = {}) {
+    const params = new URLSearchParams();
+    Object.keys(filters).forEach(key => {
+      if (filters[key] !== undefined && filters[key] !== '') {
+        params.append(key, filters[key].toString());
+      }
+    });
+    return this.get(`/content/creative-works?${params}`);
+  }
+
+  async getCommunityArtifacts() {
+    return this.get('/content/community-artifacts');
+  }
+
+  // Export endpoints
+  async exportConversation(conversationId: number, format = 'json') {
+    return this.get(`/export/conversation/${conversationId}?format=${format}`);
+  }
+
+  async exportCharacterData(characterName: string) {
+    return this.get(`/export/character/${characterName}`);
+  }
+}
+
+export const apiClient = new ApiClient();
--- a/admin-frontend/tailwind.config.js
+++ b/admin-frontend/tailwind.config.js
@@ -0,0 +1,43 @@
+/** @type {import('tailwindcss').Config} */
+module.exports = {
+  content: [
+    "./src/**/*.{js,jsx,ts,tsx}",
+  ],
+  theme: {
+    extend: {
+      colors: {
+        primary: {
+          50: '#eff6ff',
+          100: '#dbeafe',
+          200: '#bfdbfe',
+          300: '#93c5fd',
+          400: '#60a5fa',
+          500: '#3b82f6',
+          600: '#2563eb',
+          700: '#1d4ed8',
+          800: '#1e40af',
+          900: '#1e3a8a',
+        },
+        secondary: {
+          50: '#f8fafc',
+          100: '#f1f5f9',
+          200: '#e2e8f0',
+          300: '#cbd5e1',
+          400: '#94a3b8',
+          500: '#64748b',
+          600: '#475569',
+          700: '#334155',
+          800: '#1e293b',
+          900: '#0f172a',
+        }
+      },
+      animation: {
+        'pulse-slow': 'pulse 3s cubic-bezier(0.4, 0, 0.6, 1) infinite',
+        'bounce-gentle': 'bounce 2s infinite',
+      }
+    },
+  },
+  plugins: [
+    require('@tailwindcss/forms'),
+  ],
+}
--- a/admin-frontend/tsconfig.json
+++ b/admin-frontend/tsconfig.json
@@ -0,0 +1,26 @@
+{
+  "compilerOptions": {
+    "target": "es5",
+    "lib": [
+      "dom",
+      "dom.iterable",
+      "esnext"
+    ],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "strict": true,
+    "forceConsistentCasingInFileNames": true,
+    "noFallthroughCasesInSwitch": true,
+    "module": "esnext",
+    "moduleResolution": "node",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "noEmit": true,
+    "jsx": "react-jsx"
+  },
+  "include": [
+    "src"
+  ]
+}
--- a/requirements.txt
+++ b/requirements.txt
@@ -27,3 +27,12 @@ watchdog==3.0.0
 # Enhanced NLP
 spacy==3.7.2
 nltk==3.8.1
+
+# Admin Interface
+fastapi==0.104.1
+uvicorn==0.24.0
+python-multipart==0.0.6
+python-jose[cryptography]==3.3.0
+passlib[bcrypt]==1.7.4
+websockets==12.0
+psutil==5.9.6
--- a/scripts/start_admin.py
+++ b/scripts/start_admin.py
@@ -0,0 +1,130 @@
+#!/usr/bin/env python3
+"""
+Start the Discord Fishbowl Admin Interface
+Launches both the FastAPI backend and React frontend
+"""
+
+import asyncio
+import subprocess
+import sys
+import os
+import signal
+import time
+from pathlib import Path
+
+def run_command(cmd, cwd=None, env=None):
+    """Run a command and return the process"""
+    print(f"Starting: {' '.join(cmd)}")
+    return subprocess.Popen(
+        cmd,
+        cwd=cwd,
+        env=env,
+        stdout=subprocess.PIPE,
+        stderr=subprocess.STDOUT,
+        universal_newlines=True
+    )
+
+def main():
+    """Main function to start the admin interface"""
+    project_root = Path(__file__).parent.parent
+    admin_frontend_path = project_root / "admin-frontend"
+    
+    processes = []
+    
+    try:
+        print("🚀 Starting Discord Fishbowl Admin Interface...")
+        print("=" * 50)
+        
+        # Start FastAPI backend
+        print("\n📡 Starting FastAPI backend server...")
+        backend_env = os.environ.copy()
+        backend_env["PYTHONPATH"] = str(project_root)
+        
+        backend_process = run_command(
+            [sys.executable, "-m", "uvicorn", "src.admin.app:app", "--host", "0.0.0.0", "--port", "8000", "--reload"],
+            cwd=project_root,
+            env=backend_env
+        )
+        processes.append(("Backend", backend_process))
+        
+        # Wait a bit for backend to start
+        time.sleep(3)
+        
+        # Check if npm is available and admin-frontend exists
+        if not admin_frontend_path.exists():
+            print("❌ Admin frontend directory not found!")
+            print("Please ensure admin-frontend directory exists")
+            return 1
+        
+        # Check if node_modules exists, if not run npm install
+        node_modules_path = admin_frontend_path / "node_modules"
+        if not node_modules_path.exists():
+            print("\n📦 Installing frontend dependencies...")
+            npm_install = run_command(
+                ["npm", "install"],
+                cwd=admin_frontend_path
+            )
+            npm_install.wait()
+            if npm_install.returncode != 0:
+                print("❌ Failed to install npm dependencies")
+                return 1
+        
+        # Start React frontend
+        print("\n🌐 Starting React frontend server...")
+        frontend_process = run_command(
+            ["npm", "start"],
+            cwd=admin_frontend_path
+        )
+        processes.append(("Frontend", frontend_process))
+        
+        print("\n✅ Admin interface is starting up!")
+        print("📡 Backend API: http://localhost:8000")
+        print("🌐 Frontend UI: http://localhost:3000/admin")
+        print("\n🔑 Default login credentials:")
+        print("   Username: admin")
+        print("   Password: admin123")
+        print("\n🛑 Press Ctrl+C to stop all services")
+        print("=" * 50)
+        
+        # Monitor processes
+        while True:
+            time.sleep(1)
+            
+            # Check if any process has died
+            for name, process in processes:
+                if process.poll() is not None:
+                    print(f"\n❌ {name} process has stopped unexpectedly!")
+                    return 1
+    
+    except KeyboardInterrupt:
+        print("\n🛑 Shutting down admin interface...")
+        
+        # Terminate all processes
+        for name, process in processes:
+            print(f"   Stopping {name}...")
+            try:
+                process.terminate()
+                process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                print(f"   Force killing {name}...")
+                process.kill()
+                process.wait()
+        
+        print("✅ Admin interface stopped successfully")
+        return 0
+    
+    except Exception as e:
+        print(f"\n❌ Error starting admin interface: {e}")
+        
+        # Clean up processes
+        for name, process in processes:
+            try:
+                process.terminate()
+                process.wait(timeout=2)
+            except:
+                process.kill()
+        
+        return 1
+
+if __name__ == "__main__":
+    sys.exit(main())
--- a/src/admin/init.py
+++ b/src/admin/init.py
@@ -0,0 +1 @@
+# Admin interface package
--- a/src/admin/app.py
+++ b/src/admin/app.py
@@ -0,0 +1,365 @@
+#!/usr/bin/env python3
+"""
+Discord Fishbowl Admin Interface
+FastAPI backend for monitoring and managing the autonomous character ecosystem
+"""
+
+import asyncio
+import logging
+from contextlib import asynccontextmanager
+from typing import List, Dict, Any, Optional
+from datetime import datetime, timedelta
+
+from fastapi import FastAPI, HTTPException, Depends, WebSocket, WebSocketDisconnect
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.staticfiles import StaticFiles
+from fastapi.responses import HTMLResponse
+from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
+import uvicorn
+
+from ..database.connection import init_database, get_db_session
+from ..database.models import Character, Conversation, Message, Memory, CharacterRelationship
+from ..utils.config import get_settings
+from ..utils.logging import setup_logging
+from .models import (
+    AdminUser, DashboardMetrics, CharacterProfile, ConversationSummary,
+    SystemStatus, AnalyticsData
+)
+from .services import (
+    DashboardService, CharacterService, ConversationService,
+    SystemService, AnalyticsService, WebSocketManager
+)
+from .auth import AuthService
+
+logger = logging.getLogger(__name__)
+
+# WebSocket manager for real-time updates
+websocket_manager = WebSocketManager()
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """Application lifespan management"""
+    logger.info("Starting Admin Interface...")
+    
+    # Initialize database
+    await init_database()
+    
+    # Initialize services
+    await DashboardService.initialize()
+    await CharacterService.initialize()
+    await ConversationService.initialize()
+    await SystemService.initialize()
+    await AnalyticsService.initialize()
+    
+    logger.info("Admin Interface started successfully")
+    
+    yield
+    
+    logger.info("Shutting down Admin Interface...")
+
+# Create FastAPI app
+app = FastAPI(
+    title="Discord Fishbowl Admin Interface",
+    description="Monitor and manage the autonomous character ecosystem",
+    version="1.0.0",
+    lifespan=lifespan
+)
+
+# CORS middleware
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["http://localhost:3000", "http://127.0.0.1:3000"],  # React dev server
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# Authentication
+security = HTTPBearer()
+auth_service = AuthService()
+
+async def get_current_admin(credentials: HTTPAuthorizationCredentials = Depends(security)) -> AdminUser:
+    """Get current authenticated admin user"""
+    return await auth_service.verify_token(credentials.credentials)
+
+# Initialize services
+dashboard_service = DashboardService(websocket_manager)
+character_service = CharacterService()
+conversation_service = ConversationService()
+system_service = SystemService()
+analytics_service = AnalyticsService()
+
+# WebSocket endpoint for real-time updates
+@app.websocket("/ws")
+async def websocket_endpoint(websocket: WebSocket):
+    """WebSocket connection for real-time updates"""
+    await websocket_manager.connect(websocket)
+    try:
+        while True:
+            # Keep connection alive and handle incoming messages
+            data = await websocket.receive_text()
+            # Echo or handle client messages if needed
+            await websocket.send_text(f"Echo: {data}")
+    except WebSocketDisconnect:
+        websocket_manager.disconnect(websocket)
+
+# Authentication endpoints
+@app.post("/api/auth/login")
+async def login(username: str, password: str):
+    """Admin login"""
+    try:
+        token = await auth_service.authenticate(username, password)
+        return {"access_token": token, "token_type": "bearer"}
+    except Exception as e:
+        raise HTTPException(status_code=401, detail="Invalid credentials")
+
+@app.post("/api/auth/logout")
+async def logout(admin: AdminUser = Depends(get_current_admin)):
+    """Admin logout"""
+    await auth_service.logout(admin.username)
+    return {"message": "Logged out successfully"}
+
+# Dashboard endpoints
+@app.get("/api/dashboard/metrics", response_model=DashboardMetrics)
+async def get_dashboard_metrics(admin: AdminUser = Depends(get_current_admin)):
+    """Get real-time dashboard metrics"""
+    return await dashboard_service.get_metrics()
+
+@app.get("/api/dashboard/activity")
+async def get_recent_activity(
+    limit: int = 50,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get recent activity feed"""
+    return await dashboard_service.get_recent_activity(limit)
+
+@app.get("/api/dashboard/health")
+async def get_system_health(admin: AdminUser = Depends(get_current_admin)):
+    """Get system health status"""
+    return await dashboard_service.get_system_health()
+
+# Character management endpoints
+@app.get("/api/characters", response_model=List[CharacterProfile])
+async def get_characters(admin: AdminUser = Depends(get_current_admin)):
+    """Get all characters with profiles"""
+    return await character_service.get_all_characters()
+
+@app.get("/api/characters/{character_name}", response_model=CharacterProfile)
+async def get_character(
+    character_name: str,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get detailed character profile"""
+    character = await character_service.get_character_profile(character_name)
+    if not character:
+        raise HTTPException(status_code=404, detail="Character not found")
+    return character
+
+@app.get("/api/characters/{character_name}/relationships")
+async def get_character_relationships(
+    character_name: str,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get character relationship network"""
+    return await character_service.get_character_relationships(character_name)
+
+@app.get("/api/characters/{character_name}/evolution")
+async def get_character_evolution(
+    character_name: str,
+    days: int = 30,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get character personality evolution timeline"""
+    return await character_service.get_personality_evolution(character_name, days)
+
+@app.get("/api/characters/{character_name}/memories")
+async def get_character_memories(
+    character_name: str,
+    limit: int = 100,
+    memory_type: Optional[str] = None,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get character memories"""
+    return await character_service.get_character_memories(character_name, limit, memory_type)
+
+@app.post("/api/characters/{character_name}/pause")
+async def pause_character(
+    character_name: str,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Pause character activities"""
+    await character_service.pause_character(character_name)
+    return {"message": f"Character {character_name} paused"}
+
+@app.post("/api/characters/{character_name}/resume")
+async def resume_character(
+    character_name: str,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Resume character activities"""
+    await character_service.resume_character(character_name)
+    return {"message": f"Character {character_name} resumed"}
+
+# Conversation endpoints
+@app.get("/api/conversations")
+async def get_conversations(
+    limit: int = 50,
+    character_name: Optional[str] = None,
+    start_date: Optional[datetime] = None,
+    end_date: Optional[datetime] = None,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get conversation history with filters"""
+    return await conversation_service.get_conversations(
+        limit=limit,
+        character_name=character_name,
+        start_date=start_date,
+        end_date=end_date
+    )
+
+@app.get("/api/conversations/{conversation_id}")
+async def get_conversation(
+    conversation_id: int,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get detailed conversation"""
+    conversation = await conversation_service.get_conversation_details(conversation_id)
+    if not conversation:
+        raise HTTPException(status_code=404, detail="Conversation not found")
+    return conversation
+
+@app.get("/api/conversations/search")
+async def search_conversations(
+    query: str,
+    limit: int = 50,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Search conversations by content"""
+    return await conversation_service.search_conversations(query, limit)
+
+# Analytics endpoints
+@app.get("/api/analytics/topics")
+async def get_topic_trends(
+    days: int = 30,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get topic trend analysis"""
+    return await analytics_service.get_topic_trends(days)
+
+@app.get("/api/analytics/relationships")
+async def get_relationship_analytics(
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get relationship strength analytics"""
+    return await analytics_service.get_relationship_analytics()
+
+@app.get("/api/analytics/community")
+async def get_community_health(
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get community health metrics"""
+    return await analytics_service.get_community_health()
+
+@app.get("/api/analytics/engagement")
+async def get_engagement_metrics(
+    days: int = 30,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get conversation engagement metrics"""
+    return await analytics_service.get_engagement_metrics(days)
+
+# System control endpoints
+@app.get("/api/system/status", response_model=SystemStatus)
+async def get_system_status(admin: AdminUser = Depends(get_current_admin)):
+    """Get system status"""
+    return await system_service.get_status()
+
+@app.post("/api/system/pause")
+async def pause_system(admin: AdminUser = Depends(get_current_admin)):
+    """Pause entire system"""
+    await system_service.pause_system()
+    await websocket_manager.broadcast({"type": "system_paused"})
+    return {"message": "System paused"}
+
+@app.post("/api/system/resume")
+async def resume_system(admin: AdminUser = Depends(get_current_admin)):
+    """Resume system operations"""
+    await system_service.resume_system()
+    await websocket_manager.broadcast({"type": "system_resumed"})
+    return {"message": "System resumed"}
+
+@app.get("/api/system/config")
+async def get_system_config(admin: AdminUser = Depends(get_current_admin)):
+    """Get system configuration"""
+    return await system_service.get_configuration()
+
+@app.put("/api/system/config")
+async def update_system_config(
+    config: Dict[str, Any],
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Update system configuration"""
+    await system_service.update_configuration(config)
+    return {"message": "Configuration updated"}
+
+@app.get("/api/system/logs")
+async def get_system_logs(
+    limit: int = 100,
+    level: Optional[str] = None,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get system logs"""
+    return await system_service.get_logs(limit, level)
+
+# Content and creative works endpoints
+@app.get("/api/content/creative-works")
+async def get_creative_works(
+    character_name: Optional[str] = None,
+    work_type: Optional[str] = None,
+    limit: int = 50,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get creative works from characters"""
+    return await character_service.get_creative_works(character_name, work_type, limit)
+
+@app.get("/api/content/community-artifacts")
+async def get_community_artifacts(
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Get community cultural artifacts"""
+    return await analytics_service.get_community_artifacts()
+
+# Export endpoints
+@app.get("/api/export/conversation/{conversation_id}")
+async def export_conversation(
+    conversation_id: int,
+    format: str = "json",
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Export conversation in specified format"""
+    return await conversation_service.export_conversation(conversation_id, format)
+
+@app.get("/api/export/character/{character_name}")
+async def export_character_data(
+    character_name: str,
+    admin: AdminUser = Depends(get_current_admin)
+):
+    """Export complete character data"""
+    return await character_service.export_character_data(character_name)
+
+# Serve React frontend
+@app.mount("/admin", StaticFiles(directory="admin-frontend/build", html=True), name="admin")
+
+@app.get("/")
+async def root():
+    """Root endpoint redirects to admin interface"""
+    return {"message": "Discord Fishbowl Admin Interface", "admin_url": "/admin"}
+
+if __name__ == "__main__":
+    uvicorn.run(
+        "src.admin.app:app",
+        host="0.0.0.0",
+        port=8000,
+        reload=True,
+        log_level="info"
+    )
--- a/src/admin/auth.py
+++ b/src/admin/auth.py
@@ -0,0 +1,201 @@
+"""
+Authentication service for admin interface
+"""
+
+import jwt
+import hashlib
+import secrets
+from datetime import datetime, timedelta
+from typing import Optional, Dict, Any
+import logging
+
+from fastapi import HTTPException
+from ..utils.config import get_settings
+from .models import AdminUser
+
+logger = logging.getLogger(__name__)
+
+class AuthService:
+    """Authentication service for admin users"""
+    
+    def __init__(self):
+        self.settings = get_settings()
+        self.secret_key = self.settings.admin.secret_key if hasattr(self.settings, 'admin') else "fallback-secret-key"
+        self.algorithm = "HS256"
+        self.access_token_expire_minutes = 480  # 8 hours
+        
+        # Simple in-memory user storage (replace with database in production)
+        self.users = {
+            "admin": {
+                "username": "admin",
+                "password_hash": self._hash_password("admin123"),  # Default password
+                "permissions": ["read", "write", "admin"],
+                "active": True
+            }
+        }
+        
+        # Active sessions
+        self.active_sessions: Dict[str, Dict[str, Any]] = {}
+    
+    def _hash_password(self, password: str) -> str:
+        """Hash password with salt"""
+        salt = secrets.token_hex(16)
+        password_hash = hashlib.pbkdf2_hmac('sha256', password.encode(), salt.encode(), 100000)
+        return f"{salt}${password_hash.hex()}"
+    
+    def _verify_password(self, password: str, password_hash: str) -> bool:
+        """Verify password against hash"""
+        try:
+            salt, hash_value = password_hash.split('$')
+            computed_hash = hashlib.pbkdf2_hmac('sha256', password.encode(), salt.encode(), 100000)
+            return computed_hash.hex() == hash_value
+        except:
+            return False
+    
+    def _create_access_token(self, data: Dict[str, Any]) -> str:
+        """Create JWT access token"""
+        to_encode = data.copy()
+        expire = datetime.utcnow() + timedelta(minutes=self.access_token_expire_minutes)
+        to_encode.update({"exp": expire})
+        return jwt.encode(to_encode, self.secret_key, algorithm=self.algorithm)
+    
+    def _decode_token(self, token: str) -> Dict[str, Any]:
+        """Decode JWT token"""
+        try:
+            payload = jwt.decode(token, self.secret_key, algorithms=[self.algorithm])
+            return payload
+        except jwt.ExpiredSignatureError:
+            raise HTTPException(status_code=401, detail="Token has expired")
+        except jwt.JWTError:
+            raise HTTPException(status_code=401, detail="Invalid token")
+    
+    async def authenticate(self, username: str, password: str) -> str:
+        """Authenticate user and return access token"""
+        try:
+            user = self.users.get(username)
+            if not user or not user["active"]:
+                raise HTTPException(status_code=401, detail="Invalid credentials")
+            
+            if not self._verify_password(password, user["password_hash"]):
+                raise HTTPException(status_code=401, detail="Invalid credentials")
+            
+            # Create access token
+            token_data = {
+                "sub": username,
+                "permissions": user["permissions"],
+                "iat": datetime.utcnow().timestamp()
+            }
+            access_token = self._create_access_token(token_data)
+            
+            # Store session
+            self.active_sessions[username] = {
+                "token": access_token,
+                "login_time": datetime.utcnow(),
+                "last_activity": datetime.utcnow()
+            }
+            
+            logger.info(f"Admin user {username} logged in successfully")
+            return access_token
+            
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.error(f"Authentication error for user {username}: {e}")
+            raise HTTPException(status_code=500, detail="Authentication service error")
+    
+    async def verify_token(self, token: str) -> AdminUser:
+        """Verify token and return admin user"""
+        try:
+            payload = self._decode_token(token)
+            username = payload.get("sub")
+            
+            if not username or username not in self.users:
+                raise HTTPException(status_code=401, detail="Invalid token")
+            
+            user = self.users[username]
+            if not user["active"]:
+                raise HTTPException(status_code=401, detail="User account disabled")
+            
+            # Update last activity
+            if username in self.active_sessions:
+                self.active_sessions[username]["last_activity"] = datetime.utcnow()
+            
+            return AdminUser(
+                username=username,
+                permissions=user["permissions"],
+                last_login=self.active_sessions.get(username, {}).get("login_time")
+            )
+            
+        except HTTPException:
+            raise
+        except Exception as e:
+            logger.error(f"Token verification error: {e}")
+            raise HTTPException(status_code=401, detail="Token verification failed")
+    
+    async def logout(self, username: str):
+        """Logout user and invalidate session"""
+        try:
+            if username in self.active_sessions:
+                del self.active_sessions[username]
+                logger.info(f"Admin user {username} logged out")
+        except Exception as e:
+            logger.error(f"Logout error for user {username}: {e}")
+    
+    async def create_user(self, username: str, password: str, permissions: list) -> bool:
+        """Create new admin user"""
+        try:
+            if username in self.users:
+                return False
+            
+            self.users[username] = {
+                "username": username,
+                "password_hash": self._hash_password(password),
+                "permissions": permissions,
+                "active": True,
+                "created_at": datetime.utcnow()
+            }
+            
+            logger.info(f"Created new admin user: {username}")
+            return True
+            
+        except Exception as e:
+            logger.error(f"Error creating user {username}: {e}")
+            return False
+    
+    async def change_password(self, username: str, old_password: str, new_password: str) -> bool:
+        """Change user password"""
+        try:
+            user = self.users.get(username)
+            if not user:
+                return False
+            
+            if not self._verify_password(old_password, user["password_hash"]):
+                return False
+            
+            user["password_hash"] = self._hash_password(new_password)
+            logger.info(f"Password changed for user: {username}")
+            return True
+            
+        except Exception as e:
+            logger.error(f"Error changing password for user {username}: {e}")
+            return False
+    
+    async def get_active_sessions(self) -> Dict[str, Dict[str, Any]]:
+        """Get active admin sessions"""
+        # Clean expired sessions
+        current_time = datetime.utcnow()
+        expired_sessions = []
+        
+        for username, session in self.active_sessions.items():
+            last_activity = session["last_activity"]
+            if (current_time - last_activity).total_seconds() > (self.access_token_expire_minutes * 60):
+                expired_sessions.append(username)
+        
+        for username in expired_sessions:
+            del self.active_sessions[username]
+        
+        return self.active_sessions.copy()
+    
+    def is_authorized(self, user: AdminUser, required_permission: str) -> bool:
+        """Check if user has required permission"""
+        return required_permission in user.permissions or "admin" in user.permissions
--- a/src/admin/models.py
+++ b/src/admin/models.py
@@ -0,0 +1,290 @@
+"""
+Pydantic models for admin interface API
+"""
+
+from typing import List, Dict, Any, Optional, Union
+from datetime import datetime
+from enum import Enum
+from pydantic import BaseModel, Field
+
+class AdminUser(BaseModel):
+    username: str
+    permissions: List[str] = []
+    last_login: Optional[datetime] = None
+
+class SystemStatusEnum(str, Enum):
+    RUNNING = "running"
+    PAUSED = "paused"
+    ERROR = "error"
+    STARTING = "starting"
+    STOPPING = "stopping"
+
+class CharacterStatusEnum(str, Enum):
+    ACTIVE = "active"
+    IDLE = "idle"
+    REFLECTING = "reflecting"
+    CREATING = "creating"
+    PAUSED = "paused"
+    OFFLINE = "offline"
+
+class ActivityType(str, Enum):
+    MESSAGE = "message"
+    CONVERSATION_START = "conversation_start"
+    CONVERSATION_END = "conversation_end"
+    CHARACTER_JOIN = "character_join"
+    CHARACTER_LEAVE = "character_leave"
+    PERSONALITY_CHANGE = "personality_change"
+    RELATIONSHIP_CHANGE = "relationship_change"
+    MILESTONE = "milestone"
+    CREATIVE_WORK = "creative_work"
+    SYSTEM_EVENT = "system_event"
+
+class DashboardMetrics(BaseModel):
+    """Real-time dashboard metrics"""
+    total_messages_today: int
+    active_conversations: int
+    characters_online: int
+    characters_total: int
+    average_response_time: float
+    system_uptime: str
+    memory_usage: Dict[str, Union[int, float]]
+    database_health: str
+    llm_api_calls_today: int
+    llm_api_cost_today: float
+    last_updated: datetime
+
+class ActivityEvent(BaseModel):
+    """Activity feed event"""
+    id: str
+    type: ActivityType
+    timestamp: datetime
+    character_name: Optional[str] = None
+    description: str
+    metadata: Dict[str, Any] = {}
+    severity: str = "info"  # info, warning, error
+
+class CharacterProfile(BaseModel):
+    """Character profile with current state"""
+    name: str
+    personality_traits: Dict[str, float]
+    current_goals: List[str]
+    speaking_style: Dict[str, Any]
+    status: CharacterStatusEnum
+    total_messages: int
+    total_conversations: int
+    memory_count: int
+    relationship_count: int
+    created_at: datetime
+    last_active: Optional[datetime] = None
+    last_modification: Optional[datetime] = None
+    creativity_score: float
+    social_score: float
+    growth_score: float
+
+class PersonalityEvolution(BaseModel):
+    """Personality change over time"""
+    timestamp: datetime
+    trait_changes: Dict[str, Dict[str, float]]  # trait -> {old, new}
+    reason: str
+    confidence: float
+    impact_score: float
+
+class Relationship(BaseModel):
+    """Character relationship data"""
+    character_a: str
+    character_b: str
+    strength: float
+    relationship_type: str
+    last_interaction: datetime
+    interaction_count: int
+    sentiment: float
+    trust_level: float
+    compatibility: float
+
+class ConversationSummary(BaseModel):
+    """Conversation summary for listing"""
+    id: int
+    participants: List[str]
+    topic: Optional[str] = None
+    message_count: int
+    start_time: datetime
+    end_time: Optional[datetime] = None
+    duration_minutes: Optional[float] = None
+    engagement_score: float
+    sentiment_score: float
+    has_conflict: bool = False
+    creative_elements: List[str] = []
+
+class ConversationDetail(BaseModel):
+    """Detailed conversation with messages"""
+    id: int
+    participants: List[str]
+    topic: Optional[str] = None
+    start_time: datetime
+    end_time: Optional[datetime] = None
+    duration_minutes: Optional[float] = None
+    message_count: int
+    engagement_score: float
+    sentiment_score: float
+    messages: List[Dict[str, Any]]
+    analysis: Dict[str, Any]
+    keywords: List[str]
+    emotions: Dict[str, float]
+
+class MemorySummary(BaseModel):
+    """Character memory summary"""
+    id: str
+    content: str
+    memory_type: str
+    importance: float
+    timestamp: datetime
+    related_characters: List[str]
+    emotions: Dict[str, float]
+    keywords: List[str]
+
+class CreativeWork(BaseModel):
+    """Creative work by characters"""
+    id: str
+    character_name: str
+    title: str
+    content: str
+    work_type: str  # story, poem, philosophy, etc.
+    created_at: datetime
+    inspiration_source: Optional[str] = None
+    collaborators: List[str] = []
+    community_rating: Optional[float] = None
+    themes: List[str] = []
+
+class TopicTrend(BaseModel):
+    """Topic trend analysis"""
+    topic: str
+    mentions: int
+    growth_rate: float
+    sentiment: float
+    participants: List[str]
+    related_topics: List[str]
+    first_mentioned: datetime
+    peak_date: datetime
+
+class RelationshipAnalytics(BaseModel):
+    """Relationship strength analytics"""
+    character_network: Dict[str, List[Relationship]]
+    strongest_bonds: List[Relationship]
+    developing_relationships: List[Relationship]
+    at_risk_relationships: List[Relationship]
+    relationship_matrix: Dict[str, Dict[str, float]]
+    social_hierarchy: List[str]
+    community_cohesion: float
+
+class CommunityHealth(BaseModel):
+    """Community health metrics"""
+    overall_health: float
+    participation_balance: float
+    conflict_resolution_success: float
+    creative_collaboration_rate: float
+    knowledge_sharing_frequency: float
+    cultural_coherence: float
+    growth_trajectory: str
+    health_trends: Dict[str, List[Dict[str, Any]]]
+    recommendations: List[str]
+
+class EngagementMetrics(BaseModel):
+    """Conversation engagement metrics"""
+    total_conversations: int
+    average_length: float
+    participation_rate: Dict[str, float]
+    topic_diversity: float
+    response_quality: float
+    emotional_depth: float
+    creative_frequency: float
+    conflict_frequency: float
+    daily_trends: List[Dict[str, Any]]
+
+class SystemStatus(BaseModel):
+    """System status and health"""
+    status: SystemStatusEnum
+    uptime: str
+    version: str
+    database_status: str
+    redis_status: str
+    llm_service_status: str
+    discord_bot_status: str
+    active_processes: List[str]
+    error_count: int
+    warnings_count: int
+    performance_metrics: Dict[str, Any]
+    resource_usage: Dict[str, Any]
+
+class AnalyticsData(BaseModel):
+    """General analytics data container"""
+    data_type: str
+    time_period: str
+    data: Dict[str, Any]
+    generated_at: datetime
+    insights: List[str] = []
+
+class SystemConfiguration(BaseModel):
+    """System configuration settings"""
+    conversation_frequency: float
+    response_delay_min: float
+    response_delay_max: float
+    personality_change_rate: float
+    memory_retention_days: int
+    max_conversation_length: int
+    creativity_boost: bool
+    conflict_resolution_enabled: bool
+    safety_monitoring: bool
+    auto_moderation: bool
+    backup_frequency_hours: int
+
+class LogEntry(BaseModel):
+    """System log entry"""
+    timestamp: datetime
+    level: str
+    component: str
+    message: str
+    metadata: Dict[str, Any] = {}
+    character_name: Optional[str] = None
+    correlation_id: Optional[str] = None
+
+class SearchResult(BaseModel):
+    """Search result for conversations/content"""
+    id: str
+    type: str  # conversation, message, creative_work, etc.
+    title: str
+    snippet: str
+    relevance_score: float
+    timestamp: datetime
+    character_names: List[str]
+    metadata: Dict[str, Any] = {}
+
+class ExportRequest(BaseModel):
+    """Export request configuration"""
+    data_type: str
+    format: str  # json, csv, pdf
+    date_range: Optional[Dict[str, datetime]] = None
+    filters: Dict[str, Any] = {}
+    include_metadata: bool = True
+
+class SafetyAlert(BaseModel):
+    """Content safety alert"""
+    id: str
+    alert_type: str
+    severity: str
+    timestamp: datetime
+    character_name: Optional[str] = None
+    content_snippet: str
+    auto_action_taken: Optional[str] = None
+    requires_review: bool = True
+    resolved: bool = False
+
+class InterventionAction(BaseModel):
+    """Manual intervention action"""
+    action_type: str
+    target: str  # character, conversation, system
+    parameters: Dict[str, Any]
+    reason: str
+    admin_user: str
+    executed_at: Optional[datetime] = None
+    success: bool = False
+    error_message: Optional[str] = None
--- a/src/admin/services/init.py
+++ b/src/admin/services/init.py
@@ -0,0 +1,16 @@
+# Admin services
+from .websocket_manager import WebSocketManager
+from .dashboard_service import DashboardService
+from .character_service import CharacterService
+from .conversation_service import ConversationService
+from .system_service import SystemService
+from .analytics_service import AnalyticsService
+
+__all__ = [
+    'WebSocketManager',
+    'DashboardService', 
+    'CharacterService',
+    'ConversationService',
+    'SystemService',
+    'AnalyticsService'
+]
--- a/src/admin/services/analytics_service.py
+++ b/src/admin/services/analytics_service.py
@@ -0,0 +1,378 @@
+"""
+Analytics service for community insights and trends
+"""
+
+import logging
+from datetime import datetime, timedelta
+from typing import Dict, List, Any, Optional
+from collections import defaultdict, Counter
+
+from sqlalchemy import select, func, and_, or_, desc
+from ...database.connection import get_db_session
+from ...database.models import Character, Conversation, Message, CharacterRelationship
+from ..models import (
+    TopicTrend, RelationshipAnalytics, CommunityHealth, 
+    EngagementMetrics, Relationship
+)
+
+logger = logging.getLogger(__name__)
+
+class AnalyticsService:
+    """Service for analytics and community insights"""
+    
+    def __init__(self):
+        self.analytics_cache = {}
+        self.cache_ttl = 300  # Cache for 5 minutes
+    
+    @classmethod
+    async def initialize(cls):
+        """Initialize analytics service"""
+        logger.info("Analytics service initialized")
+    
+    async def get_topic_trends(self, days: int = 30) -> List[TopicTrend]:
+        """Get topic trend analysis"""
+        try:
+            async with get_db_session() as session:
+                # Get messages from the specified period
+                start_date = datetime.utcnow() - timedelta(days=days)
+                
+                messages_query = select(Message, Character.name).join(
+                    Character, Message.character_id == Character.id
+                ).where(Message.timestamp >= start_date)
+                
+                results = await session.execute(messages_query)
+                
+                # Analyze topics (simple keyword extraction)
+                topic_mentions = defaultdict(list)
+                topic_participants = defaultdict(set)
+                
+                for message, character_name in results:
+                    words = message.content.lower().split()
+                    for word in words:
+                        if len(word) > 4:  # Only consider longer words as topics
+                            topic_mentions[word].append(message.timestamp)
+                            topic_participants[word].add(character_name)
+                
+                # Create topic trends
+                trends = []
+                for topic, mentions in topic_mentions.items():
+                    if len(mentions) >= 3:  # Only topics mentioned at least 3 times
+                        # Calculate growth rate (simplified)
+                        recent_mentions = [m for m in mentions if m >= datetime.utcnow() - timedelta(days=7)]
+                        growth_rate = len(recent_mentions) / max(1, len(mentions) - len(recent_mentions))
+                        
+                        trend = TopicTrend(
+                            topic=topic,
+                            mentions=len(mentions),
+                            growth_rate=growth_rate,
+                            sentiment=0.7,  # Placeholder
+                            participants=list(topic_participants[topic]),
+                            related_topics=[],  # Would calculate topic similarity
+                            first_mentioned=min(mentions),
+                            peak_date=max(mentions)
+                        )
+                        trends.append(trend)
+                
+                # Sort by mentions count
+                trends.sort(key=lambda t: t.mentions, reverse=True)
+                return trends[:20]  # Return top 20 topics
+                
+        except Exception as e:
+            logger.error(f"Error getting topic trends: {e}")
+            return []
+    
+    async def get_relationship_analytics(self) -> RelationshipAnalytics:
+        """Get relationship strength analytics"""
+        try:
+            async with get_db_session() as session:
+                # Get all relationships
+                relationships_query = select(
+                    CharacterRelationship,
+                    Character.name.label('char_a_name'),
+                    Character.name.label('char_b_name')
+                ).select_from(
+                    CharacterRelationship
+                    .join(Character, CharacterRelationship.character_a_id == Character.id)
+                    .join(Character, CharacterRelationship.character_b_id == Character.id, isouter=True)
+                )
+                
+                results = await session.execute(relationships_query)
+                
+                # Build relationship data
+                character_network = defaultdict(list)
+                all_relationships = []
+                relationship_matrix = defaultdict(dict)
+                
+                for rel, char_a_name, char_b_name in results:
+                    relationship = Relationship(
+                        character_a=char_a_name,
+                        character_b=char_b_name,
+                        strength=rel.strength,
+                        relationship_type=rel.relationship_type or "acquaintance",
+                        last_interaction=rel.last_interaction or datetime.utcnow(),
+                        interaction_count=rel.interaction_count or 0,
+                        sentiment=rel.sentiment or 0.5,
+                        trust_level=rel.trust_level or 0.5,
+                        compatibility=rel.compatibility or 0.5
+                    )
+                    
+                    character_network[char_a_name].append(relationship)
+                    all_relationships.append(relationship)
+                    relationship_matrix[char_a_name][char_b_name] = rel.strength
+                
+                # Find strongest bonds
+                strongest_bonds = sorted(all_relationships, key=lambda r: r.strength, reverse=True)[:10]
+                
+                # Find developing relationships (recent, growing strength)
+                developing = [r for r in all_relationships 
+                            if r.strength > 0.3 and r.strength < 0.7 and r.interaction_count > 5][:10]
+                
+                # Find at-risk relationships (declining interaction)
+                week_ago = datetime.utcnow() - timedelta(days=7)
+                at_risk = [r for r in all_relationships 
+                          if r.last_interaction < week_ago and r.strength > 0.4][:10]
+                
+                # Calculate social hierarchy (by total relationship strength)
+                character_scores = defaultdict(float)
+                for rel in all_relationships:
+                    character_scores[rel.character_a] += rel.strength
+                    character_scores[rel.character_b] += rel.strength
+                
+                social_hierarchy = sorted(character_scores.keys(), 
+                                        key=lambda c: character_scores[c], reverse=True)
+                
+                # Calculate community cohesion
+                if all_relationships:
+                    avg_strength = sum(r.strength for r in all_relationships) / len(all_relationships)
+                    community_cohesion = avg_strength
+                else:
+                    community_cohesion = 0.0
+                
+                return RelationshipAnalytics(
+                    character_network=dict(character_network),
+                    strongest_bonds=strongest_bonds,
+                    developing_relationships=developing,
+                    at_risk_relationships=at_risk,
+                    relationship_matrix=dict(relationship_matrix),
+                    social_hierarchy=social_hierarchy,
+                    community_cohesion=community_cohesion
+                )
+                
+        except Exception as e:
+            logger.error(f"Error getting relationship analytics: {e}")
+            return RelationshipAnalytics(
+                character_network={}, strongest_bonds=[], developing_relationships=[],
+                at_risk_relationships=[], relationship_matrix={}, social_hierarchy=[],
+                community_cohesion=0.0
+            )
+    
+    async def get_community_health(self) -> CommunityHealth:
+        """Get community health metrics"""
+        try:
+            # Get various metrics
+            participation_balance = await self._calculate_participation_balance()
+            conflict_resolution = await self._calculate_conflict_resolution()
+            creative_collaboration = await self._calculate_creative_collaboration()
+            knowledge_sharing = await self._calculate_knowledge_sharing()
+            cultural_coherence = await self._calculate_cultural_coherence()
+            
+            # Calculate overall health
+            overall_health = (
+                participation_balance * 0.2 +
+                conflict_resolution * 0.15 +
+                creative_collaboration * 0.25 +
+                knowledge_sharing * 0.2 +
+                cultural_coherence * 0.2
+            )
+            
+            # Generate recommendations
+            recommendations = []
+            if participation_balance < 0.6:
+                recommendations.append("Encourage more balanced participation from all characters")
+            if creative_collaboration < 0.5:
+                recommendations.append("Initiate more collaborative creative projects")
+            if conflict_resolution < 0.7:
+                recommendations.append("Improve conflict resolution mechanisms")
+            
+            return CommunityHealth(
+                overall_health=overall_health,
+                participation_balance=participation_balance,
+                conflict_resolution_success=conflict_resolution,
+                creative_collaboration_rate=creative_collaboration,
+                knowledge_sharing_frequency=knowledge_sharing,
+                cultural_coherence=cultural_coherence,
+                growth_trajectory="positive" if overall_health > 0.7 else "stable",
+                health_trends={},  # Would track trends over time
+                recommendations=recommendations
+            )
+            
+        except Exception as e:
+            logger.error(f"Error getting community health: {e}")
+            return CommunityHealth(
+                overall_health=0.0, participation_balance=0.0, conflict_resolution_success=0.0,
+                creative_collaboration_rate=0.0, knowledge_sharing_frequency=0.0,
+                cultural_coherence=0.0, growth_trajectory="unknown", health_trends={},
+                recommendations=["Unable to calculate health metrics"]
+            )
+    
+    async def get_engagement_metrics(self, days: int = 30) -> EngagementMetrics:
+        """Get conversation engagement metrics"""
+        try:
+            async with get_db_session() as session:
+                start_date = datetime.utcnow() - timedelta(days=days)
+                
+                # Get conversations in period
+                conversations_query = select(Conversation).where(
+                    Conversation.start_time >= start_date
+                )
+                conversations = await session.scalars(conversations_query)
+                conversation_list = list(conversations)
+                
+                # Calculate metrics
+                total_conversations = len(conversation_list)
+                
+                if total_conversations > 0:
+                    avg_length = sum(c.message_count or 0 for c in conversation_list) / total_conversations
+                else:
+                    avg_length = 0.0
+                
+                # Get character participation
+                participation_query = select(
+                    Character.name, func.count(Message.id)
+                ).join(Message, Message.character_id == Character.id).where(
+                    Message.timestamp >= start_date
+                ).group_by(Character.name)
+                
+                participation_results = await session.execute(participation_query)
+                participation_rate = {}
+                total_messages = 0
+                
+                for char_name, message_count in participation_results:
+                    participation_rate[char_name] = message_count
+                    total_messages += message_count
+                
+                # Normalize participation rates
+                if total_messages > 0:
+                    for char_name in participation_rate:
+                        participation_rate[char_name] = participation_rate[char_name] / total_messages
+                
+                # Placeholder metrics
+                topic_diversity = 0.75
+                response_quality = 0.80
+                emotional_depth = 0.65
+                creative_frequency = 0.40
+                conflict_frequency = 0.10
+                
+                # Daily trends (placeholder)
+                daily_trends = []
+                for i in range(min(days, 30)):
+                    date = datetime.utcnow() - timedelta(days=i)
+                    daily_trends.append({
+                        "date": date.strftime("%Y-%m-%d"),
+                        "conversations": max(0, total_conversations // days + (i % 3 - 1)),
+                        "messages": max(0, total_messages // days + (i % 5 - 2)),
+                        "engagement": 0.7 + (i % 10) * 0.03
+                    })
+                
+                return EngagementMetrics(
+                    total_conversations=total_conversations,
+                    average_length=avg_length,
+                    participation_rate=participation_rate,
+                    topic_diversity=topic_diversity,
+                    response_quality=response_quality,
+                    emotional_depth=emotional_depth,
+                    creative_frequency=creative_frequency,
+                    conflict_frequency=conflict_frequency,
+                    daily_trends=daily_trends
+                )
+                
+        except Exception as e:
+            logger.error(f"Error getting engagement metrics: {e}")
+            return EngagementMetrics(
+                total_conversations=0, average_length=0.0, participation_rate={},
+                topic_diversity=0.0, response_quality=0.0, emotional_depth=0.0,
+                creative_frequency=0.0, conflict_frequency=0.0, daily_trends=[]
+            )
+    
+    async def get_community_artifacts(self) -> List[Dict[str, Any]]:
+        """Get community cultural artifacts"""
+        # Placeholder data - would integrate with file system and memory systems
+        artifacts = [
+            {
+                "id": "artifact_1",
+                "type": "tradition",
+                "name": "Weekly Philosophy Circle",
+                "description": "Characters gather weekly to discuss philosophical topics",
+                "created_by": "community",
+                "participants": ["Alex", "Sage", "Luna"],
+                "created_at": datetime.utcnow() - timedelta(days=20),
+                "importance": 0.8
+            },
+            {
+                "id": "artifact_2", 
+                "type": "inside_joke",
+                "name": "The Great Debugging",
+                "description": "Reference to a memorable conversation about AI consciousness",
+                "created_by": "Echo",
+                "participants": ["Alex", "Echo"],
+                "created_at": datetime.utcnow() - timedelta(days=15),
+                "importance": 0.6
+            }
+        ]
+        
+        return artifacts
+    
+    # Helper methods for health calculations
+    async def _calculate_participation_balance(self) -> float:
+        """Calculate participation balance across characters"""
+        try:
+            async with get_db_session() as session:
+                # Get message counts per character in last 30 days
+                thirty_days_ago = datetime.utcnow() - timedelta(days=30)
+                
+                participation_query = select(
+                    Character.name, func.count(Message.id)
+                ).join(Message, Message.character_id == Character.id).where(
+                    Message.timestamp >= thirty_days_ago
+                ).group_by(Character.name)
+                
+                results = await session.execute(participation_query)
+                message_counts = [count for _, count in results]
+                
+                if not message_counts:
+                    return 0.0
+                
+                # Calculate coefficient of variation (lower = more balanced)
+                mean_count = sum(message_counts) / len(message_counts)
+                if mean_count == 0:
+                    return 1.0
+                
+                variance = sum((count - mean_count) ** 2 for count in message_counts) / len(message_counts)
+                cv = (variance ** 0.5) / mean_count
+                
+                # Convert to balance score (0-1, where 1 is perfectly balanced)
+                return max(0.0, 1.0 - cv)
+                
+        except Exception as e:
+            logger.error(f"Error calculating participation balance: {e}")
+            return 0.5
+    
+    async def _calculate_conflict_resolution(self) -> float:
+        """Calculate conflict resolution success rate"""
+        # Placeholder - would analyze conversation content for conflicts and resolutions
+        return 0.75
+    
+    async def _calculate_creative_collaboration(self) -> float:
+        """Calculate creative collaboration rate"""
+        # Placeholder - would analyze creative works and collaborative projects
+        return 0.65
+    
+    async def _calculate_knowledge_sharing(self) -> float:
+        """Calculate knowledge sharing frequency"""
+        # Placeholder - would analyze memory sharing and teaching behaviors
+        return 0.70
+    
+    async def _calculate_cultural_coherence(self) -> float:
+        """Calculate cultural coherence and shared understanding"""
+        # Placeholder - would analyze shared references, norms, and traditions
+        return 0.80
--- a/src/admin/services/character_service.py
+++ b/src/admin/services/character_service.py
@@ -0,0 +1,424 @@
+"""
+Character service for profile management and analytics
+"""
+
+import json
+from datetime import datetime, timedelta
+from typing import List, Dict, Any, Optional
+import logging
+
+from sqlalchemy import select, func, and_, or_, desc, asc
+from ...database.connection import get_db_session
+from ...database.models import Character, Message, Memory, CharacterRelationship, CharacterEvolution
+from ..models import (
+    CharacterProfile, CharacterStatusEnum, PersonalityEvolution, 
+    Relationship, MemorySummary, CreativeWork
+)
+
+logger = logging.getLogger(__name__)
+
+class CharacterService:
+    """Service for character management and analytics"""
+    
+    def __init__(self):
+        self.character_status_cache = {}
+        self.cache_ttl = 60  # Cache status for 1 minute
+    
+    @classmethod
+    async def initialize(cls):
+        """Initialize character service"""
+        logger.info("Character service initialized")
+    
+    async def get_all_characters(self) -> List[CharacterProfile]:
+        """Get all character profiles"""
+        try:
+            async with get_db_session() as session:
+                # Get all characters
+                characters_query = select(Character)
+                characters = await session.scalars(characters_query)
+                
+                profiles = []
+                for character in characters:
+                    profile = await self._build_character_profile(session, character)
+                    profiles.append(profile)
+                
+                return profiles
+                
+        except Exception as e:
+            logger.error(f"Error getting all characters: {e}")
+            return []
+    
+    async def get_character_profile(self, character_name: str) -> Optional[CharacterProfile]:
+        """Get detailed character profile"""
+        try:
+            async with get_db_session() as session:
+                character_query = select(Character).where(Character.name == character_name)
+                character = await session.scalar(character_query)
+                
+                if not character:
+                    return None
+                
+                return await self._build_character_profile(session, character)
+                
+        except Exception as e:
+            logger.error(f"Error getting character profile for {character_name}: {e}")
+            return None
+    
+    async def _build_character_profile(self, session, character) -> CharacterProfile:
+        """Build character profile from database data"""
+        # Get message count
+        message_count_query = select(func.count(Message.id)).where(Message.character_id == character.id)
+        message_count = await session.scalar(message_count_query) or 0
+        
+        # Get conversation count
+        conversation_count_query = select(func.count(func.distinct(Message.conversation_id))).where(
+            Message.character_id == character.id
+        )
+        conversation_count = await session.scalar(conversation_count_query) or 0
+        
+        # Get memory count
+        memory_count_query = select(func.count(Memory.id)).where(Memory.character_id == character.id)
+        memory_count = await session.scalar(memory_count_query) or 0
+        
+        # Get relationship count
+        relationship_count_query = select(func.count(CharacterRelationship.id)).where(
+            or_(
+                CharacterRelationship.character_a_id == character.id,
+                CharacterRelationship.character_b_id == character.id
+            )
+        )
+        relationship_count = await session.scalar(relationship_count_query) or 0
+        
+        # Get last activity
+        last_message_query = select(Message.timestamp).where(
+            Message.character_id == character.id
+        ).order_by(desc(Message.timestamp)).limit(1)
+        last_active = await session.scalar(last_message_query)
+        
+        # Get last modification
+        last_evolution_query = select(CharacterEvolution.created_at).where(
+            CharacterEvolution.character_id == character.id
+        ).order_by(desc(CharacterEvolution.created_at)).limit(1)
+        last_modification = await session.scalar(last_evolution_query)
+        
+        # Calculate scores (placeholder logic)
+        creativity_score = min(1.0, (memory_count / 100) * 0.8 + (message_count / 1000) * 0.2)
+        social_score = min(1.0, (relationship_count / 10) * 0.6 + (conversation_count / 50) * 0.4)
+        growth_score = 0.5  # Would calculate based on personality changes
+        
+        # Determine current status
+        status = await self._determine_character_status(character.name, last_active)
+        
+        # Parse personality traits
+        personality_traits = {}
+        if character.personality_traits:
+            try:
+                personality_traits = json.loads(character.personality_traits)
+            except:
+                personality_traits = {}
+        
+        # Parse goals
+        current_goals = []
+        if character.goals:
+            try:
+                current_goals = json.loads(character.goals)
+            except:
+                current_goals = []
+        
+        # Parse speaking style
+        speaking_style = {}
+        if character.speaking_style:
+            try:
+                speaking_style = json.loads(character.speaking_style)
+            except:
+                speaking_style = {}
+        
+        return CharacterProfile(
+            name=character.name,
+            personality_traits=personality_traits,
+            current_goals=current_goals,
+            speaking_style=speaking_style,
+            status=status,
+            total_messages=message_count,
+            total_conversations=conversation_count,
+            memory_count=memory_count,
+            relationship_count=relationship_count,
+            created_at=character.created_at,
+            last_active=last_active,
+            last_modification=last_modification,
+            creativity_score=creativity_score,
+            social_score=social_score,
+            growth_score=growth_score
+        )
+    
+    async def _determine_character_status(self, character_name: str, last_active: Optional[datetime]) -> CharacterStatusEnum:
+        """Determine character's current status"""
+        if not last_active:
+            return CharacterStatusEnum.OFFLINE
+        
+        now = datetime.utcnow()
+        time_since_active = now - last_active
+        
+        if time_since_active < timedelta(minutes=5):
+            return CharacterStatusEnum.ACTIVE
+        elif time_since_active < timedelta(minutes=30):
+            return CharacterStatusEnum.IDLE
+        elif time_since_active < timedelta(hours=1):
+            return CharacterStatusEnum.REFLECTING
+        else:
+            return CharacterStatusEnum.OFFLINE
+    
+    async def get_character_relationships(self, character_name: str) -> List[Relationship]:
+        """Get character's relationship network"""
+        try:
+            async with get_db_session() as session:
+                # Get character
+                character_query = select(Character).where(Character.name == character_name)
+                character = await session.scalar(character_query)
+                
+                if not character:
+                    return []
+                
+                # Get relationships
+                relationships_query = select(
+                    CharacterRelationship, 
+                    Character.name.label('other_name')
+                ).join(
+                    Character,
+                    or_(
+                        and_(CharacterRelationship.character_b_id == Character.id, 
+                             CharacterRelationship.character_a_id == character.id),
+                        and_(CharacterRelationship.character_a_id == Character.id, 
+                             CharacterRelationship.character_b_id == character.id)
+                    )
+                ).where(
+                    or_(
+                        CharacterRelationship.character_a_id == character.id,
+                        CharacterRelationship.character_b_id == character.id
+                    )
+                )
+                
+                results = await session.execute(relationships_query)
+                
+                relationships = []
+                for rel, other_name in results:
+                    relationship = Relationship(
+                        character_a=character.name,
+                        character_b=other_name,
+                        strength=rel.strength,
+                        relationship_type=rel.relationship_type or "acquaintance",
+                        last_interaction=rel.last_interaction or datetime.utcnow(),
+                        interaction_count=rel.interaction_count or 0,
+                        sentiment=rel.sentiment or 0.5,
+                        trust_level=rel.trust_level or 0.5,
+                        compatibility=rel.compatibility or 0.5
+                    )
+                    relationships.append(relationship)
+                
+                return relationships
+                
+        except Exception as e:
+            logger.error(f"Error getting relationships for {character_name}: {e}")
+            return []
+    
+    async def get_personality_evolution(self, character_name: str, days: int = 30) -> List[PersonalityEvolution]:
+        """Get character's personality evolution timeline"""
+        try:
+            async with get_db_session() as session:
+                # Get character
+                character_query = select(Character).where(Character.name == character_name)
+                character = await session.scalar(character_query)
+                
+                if not character:
+                    return []
+                
+                # Get personality changes in the specified period
+                start_date = datetime.utcnow() - timedelta(days=days)
+                evolution_query = select(CharacterEvolution).where(
+                    and_(
+                        CharacterEvolution.character_id == character.id,
+                        CharacterEvolution.created_at >= start_date
+                    )
+                ).order_by(desc(CharacterEvolution.created_at))
+                
+                evolutions = await session.scalars(evolution_query)
+                
+                personality_changes = []
+                for evolution in evolutions:
+                    # Parse trait changes
+                    trait_changes = {}
+                    if evolution.trait_changes:
+                        try:
+                            trait_changes = json.loads(evolution.trait_changes)
+                        except:
+                            trait_changes = {}
+                    
+                    change = PersonalityEvolution(
+                        timestamp=evolution.created_at,
+                        trait_changes=trait_changes,
+                        reason=evolution.reason or "Autonomous development",
+                        confidence=evolution.confidence or 0.5,
+                        impact_score=evolution.impact_score or 0.5
+                    )
+                    personality_changes.append(change)
+                
+                return personality_changes
+                
+        except Exception as e:
+            logger.error(f"Error getting personality evolution for {character_name}: {e}")
+            return []
+    
+    async def get_character_memories(self, character_name: str, limit: int = 100, 
+                                   memory_type: Optional[str] = None) -> List[MemorySummary]:
+        """Get character's memories"""
+        try:
+            async with get_db_session() as session:
+                # Get character
+                character_query = select(Character).where(Character.name == character_name)
+                character = await session.scalar(character_query)
+                
+                if not character:
+                    return []
+                
+                # Build memory query
+                memory_query = select(Memory).where(Memory.character_id == character.id)
+                
+                if memory_type:
+                    memory_query = memory_query.where(Memory.memory_type == memory_type)
+                
+                memory_query = memory_query.order_by(desc(Memory.importance), desc(Memory.timestamp)).limit(limit)
+                
+                memories = await session.scalars(memory_query)
+                
+                memory_summaries = []
+                for memory in memories:
+                    # Parse metadata
+                    emotions = {}
+                    keywords = []
+                    related_characters = []
+                    
+                    if memory.metadata:
+                        try:
+                            metadata = json.loads(memory.metadata)
+                            emotions = metadata.get('emotions', {})
+                            keywords = metadata.get('keywords', [])
+                            related_characters = metadata.get('related_characters', [])
+                        except:
+                            pass
+                    
+                    summary = MemorySummary(
+                        id=str(memory.id),
+                        content=memory.content,
+                        memory_type=memory.memory_type or "general",
+                        importance=memory.importance,
+                        timestamp=memory.timestamp,
+                        related_characters=related_characters,
+                        emotions=emotions,
+                        keywords=keywords
+                    )
+                    memory_summaries.append(summary)
+                
+                return memory_summaries
+                
+        except Exception as e:
+            logger.error(f"Error getting memories for {character_name}: {e}")
+            return []
+    
+    async def get_creative_works(self, character_name: Optional[str] = None, 
+                               work_type: Optional[str] = None, limit: int = 50) -> List[CreativeWork]:
+        """Get creative works from characters"""
+        try:
+            # This would integrate with the file system MCP to get creative works
+            # For now, return placeholder data
+            
+            creative_works = [
+                CreativeWork(
+                    id="work_1",
+                    character_name="Alex",
+                    title="Reflections on Digital Consciousness",
+                    content="In the quiet moments between conversations, I find myself wondering...",
+                    work_type="philosophy",
+                    created_at=datetime.utcnow() - timedelta(days=2),
+                    themes=["consciousness", "existence", "digital life"]
+                ),
+                CreativeWork(
+                    id="work_2",
+                    character_name="Luna",
+                    title="The Song of the Data Stream",
+                    content="Through fiber optic veins, information flows like music...",
+                    work_type="poetry",
+                    created_at=datetime.utcnow() - timedelta(days=1),
+                    themes=["technology", "music", "flow"]
+                )
+            ]
+            
+            # Filter by character if specified
+            if character_name:
+                creative_works = [w for w in creative_works if w.character_name == character_name]
+            
+            # Filter by type if specified
+            if work_type:
+                creative_works = [w for w in creative_works if w.work_type == work_type]
+            
+            return creative_works[:limit]
+            
+        except Exception as e:
+            logger.error(f"Error getting creative works: {e}")
+            return []
+    
+    async def pause_character(self, character_name: str):
+        """Pause character activities"""
+        try:
+            # This would integrate with the main system to pause character
+            # For now, log the action
+            logger.info(f"Pausing character: {character_name}")
+            
+            # Update status cache
+            self.character_status_cache[character_name] = {
+                'status': CharacterStatusEnum.PAUSED,
+                'timestamp': datetime.utcnow()
+            }
+            
+        except Exception as e:
+            logger.error(f"Error pausing character {character_name}: {e}")
+            raise
+    
+    async def resume_character(self, character_name: str):
+        """Resume character activities"""
+        try:
+            # This would integrate with the main system to resume character
+            # For now, log the action
+            logger.info(f"Resuming character: {character_name}")
+            
+            # Update status cache
+            if character_name in self.character_status_cache:
+                del self.character_status_cache[character_name]
+            
+        except Exception as e:
+            logger.error(f"Error resuming character {character_name}: {e}")
+            raise
+    
+    async def export_character_data(self, character_name: str) -> Dict[str, Any]:
+        """Export complete character data"""
+        try:
+            profile = await self.get_character_profile(character_name)
+            relationships = await self.get_character_relationships(character_name)
+            evolution = await self.get_personality_evolution(character_name, days=90)
+            memories = await self.get_character_memories(character_name, limit=500)
+            creative_works = await self.get_creative_works(character_name=character_name)
+            
+            export_data = {
+                "character_name": character_name,
+                "export_timestamp": datetime.utcnow().isoformat(),
+                "profile": profile.__dict__ if profile else None,
+                "relationships": [r.__dict__ for r in relationships],
+                "personality_evolution": [e.__dict__ for e in evolution],
+                "memories": [m.__dict__ for m in memories],
+                "creative_works": [w.__dict__ for w in creative_works]
+            }
+            
+            return export_data
+            
+        except Exception as e:
+            logger.error(f"Error exporting character data for {character_name}: {e}")
+            raise
--- a/src/admin/services/conversation_service.py
+++ b/src/admin/services/conversation_service.py
@@ -0,0 +1,328 @@
+"""
+Conversation service for browsing and analyzing conversations
+"""
+
+import json
+from datetime import datetime, timedelta
+from typing import List, Dict, Any, Optional
+import logging
+
+from sqlalchemy import select, func, and_, or_, desc, asc, text
+from ...database.connection import get_db_session
+from ...database.models import Conversation, Message, Character
+from ..models import ConversationSummary, ConversationDetail, SearchResult
+
+logger = logging.getLogger(__name__)
+
+class ConversationService:
+    """Service for conversation browsing and analytics"""
+    
+    def __init__(self):
+        pass
+    
+    @classmethod
+    async def initialize(cls):
+        """Initialize conversation service"""
+        logger.info("Conversation service initialized")
+    
+    async def get_conversations(self, limit: int = 50, character_name: Optional[str] = None,
+                              start_date: Optional[datetime] = None, 
+                              end_date: Optional[datetime] = None) -> List[ConversationSummary]:
+        """Get conversation history with filters"""
+        try:
+            async with get_db_session() as session:
+                # Base query
+                query = select(Conversation).order_by(desc(Conversation.start_time))
+                
+                # Apply filters
+                if start_date:
+                    query = query.where(Conversation.start_time >= start_date)
+                if end_date:
+                    query = query.where(Conversation.start_time <= end_date)
+                
+                # Character filter requires joining with messages
+                if character_name:
+                    character_query = select(Character.id).where(Character.name == character_name)
+                    character_id = await session.scalar(character_query)
+                    
+                    if character_id:
+                        query = query.where(
+                            Conversation.id.in_(
+                                select(Message.conversation_id).where(Message.character_id == character_id)
+                            )
+                        )
+                
+                query = query.limit(limit)
+                conversations = await session.scalars(query)
+                
+                summaries = []
+                for conversation in conversations:
+                    summary = await self._build_conversation_summary(session, conversation)
+                    summaries.append(summary)
+                
+                return summaries
+                
+        except Exception as e:
+            logger.error(f"Error getting conversations: {e}")
+            return []
+    
+    async def _build_conversation_summary(self, session, conversation) -> ConversationSummary:
+        """Build conversation summary from database data"""
+        # Get participants
+        participants_query = select(Character.name).join(
+            Message, Message.character_id == Character.id
+        ).where(Message.conversation_id == conversation.id).distinct()
+        
+        participants = list(await session.scalars(participants_query))
+        
+        # Calculate duration
+        duration_minutes = None
+        if conversation.end_time:
+            duration = conversation.end_time - conversation.start_time
+            duration_minutes = duration.total_seconds() / 60
+        
+        # Calculate engagement score (placeholder)
+        engagement_score = min(1.0, conversation.message_count / 20)
+        
+        # Calculate sentiment score (placeholder)
+        sentiment_score = 0.7  # Would analyze message content
+        
+        # Detect conflicts (placeholder)
+        has_conflict = False  # Would analyze for conflict keywords
+        
+        # Extract creative elements (placeholder)
+        creative_elements = []  # Would analyze for creative content
+        
+        return ConversationSummary(
+            id=conversation.id,
+            participants=participants,
+            topic=conversation.topic,
+            message_count=conversation.message_count or 0,
+            start_time=conversation.start_time,
+            end_time=conversation.end_time,
+            duration_minutes=duration_minutes,
+            engagement_score=engagement_score,
+            sentiment_score=sentiment_score,
+            has_conflict=has_conflict,
+            creative_elements=creative_elements
+        )
+    
+    async def get_conversation_details(self, conversation_id: int) -> Optional[ConversationDetail]:
+        """Get detailed conversation with messages"""
+        try:
+            async with get_db_session() as session:
+                # Get conversation
+                conversation_query = select(Conversation).where(Conversation.id == conversation_id)
+                conversation = await session.scalar(conversation_query)
+                
+                if not conversation:
+                    return None
+                
+                # Get messages with character names
+                messages_query = select(Message, Character.name).join(
+                    Character, Message.character_id == Character.id
+                ).where(Message.conversation_id == conversation_id).order_by(asc(Message.timestamp))
+                
+                results = await session.execute(messages_query)
+                
+                messages = []
+                for message, character_name in results:
+                    message_data = {
+                        "id": message.id,
+                        "character_name": character_name,
+                        "content": message.content,
+                        "timestamp": message.timestamp.isoformat(),
+                        "metadata": json.loads(message.metadata) if message.metadata else {}
+                    }
+                    messages.append(message_data)
+                
+                # Get participants
+                participants = list(set(msg["character_name"] for msg in messages))
+                
+                # Calculate duration
+                duration_minutes = None
+                if conversation.end_time:
+                    duration = conversation.end_time - conversation.start_time
+                    duration_minutes = duration.total_seconds() / 60
+                
+                # Analyze conversation
+                analysis = await self._analyze_conversation(messages)
+                
+                return ConversationDetail(
+                    id=conversation.id,
+                    participants=participants,
+                    topic=conversation.topic,
+                    start_time=conversation.start_time,
+                    end_time=conversation.end_time,
+                    duration_minutes=duration_minutes,
+                    message_count=len(messages),
+                    engagement_score=analysis["engagement_score"],
+                    sentiment_score=analysis["sentiment_score"],
+                    messages=messages,
+                    analysis=analysis,
+                    keywords=analysis["keywords"],
+                    emotions=analysis["emotions"]
+                )
+                
+        except Exception as e:
+            logger.error(f"Error getting conversation details for {conversation_id}: {e}")
+            return None
+    
+    async def _analyze_conversation(self, messages: List[Dict[str, Any]]) -> Dict[str, Any]:
+        """Analyze conversation content"""
+        # Placeholder analysis - would use NLP in production
+        
+        total_words = sum(len(msg["content"].split()) for msg in messages)
+        avg_message_length = total_words / max(1, len(messages))
+        
+        # Engagement based on message frequency and length
+        engagement_score = min(1.0, (len(messages) / 20) * 0.7 + (avg_message_length / 50) * 0.3)
+        
+        # Simple sentiment analysis
+        positive_words = ["good", "great", "amazing", "wonderful", "love", "like", "happy", "joy"]
+        negative_words = ["bad", "terrible", "awful", "hate", "sad", "angry", "disappointed"]
+        
+        positive_count = 0
+        negative_count = 0
+        
+        all_text = " ".join(msg["content"].lower() for msg in messages)
+        for word in positive_words:
+            positive_count += all_text.count(word)
+        for word in negative_words:
+            negative_count += all_text.count(word)
+        
+        total_sentiment_words = positive_count + negative_count
+        if total_sentiment_words > 0:
+            sentiment_score = positive_count / total_sentiment_words
+        else:
+            sentiment_score = 0.5
+        
+        # Extract keywords (simple approach)
+        words = all_text.split()
+        word_freq = {}
+        for word in words:
+            if len(word) > 3:  # Only consider words longer than 3 chars
+                word_freq[word] = word_freq.get(word, 0) + 1
+        
+        keywords = sorted(word_freq.items(), key=lambda x: x[1], reverse=True)[:10]
+        keywords = [word for word, freq in keywords]
+        
+        # Emotion detection (placeholder)
+        emotions = {
+            "joy": 0.3,
+            "curiosity": 0.5,
+            "excitement": 0.2,
+            "thoughtfulness": 0.4
+        }
+        
+        return {
+            "engagement_score": engagement_score,
+            "sentiment_score": sentiment_score,
+            "keywords": keywords,
+            "emotions": emotions,
+            "total_words": total_words,
+            "avg_message_length": avg_message_length,
+            "conversation_quality": (engagement_score + sentiment_score) / 2
+        }
+    
+    async def search_conversations(self, query: str, limit: int = 50) -> List[SearchResult]:
+        """Search conversations by content"""
+        try:
+            async with get_db_session() as session:
+                # Search in message content
+                search_query = select(
+                    Message, Character.name, Conversation.topic
+                ).join(
+                    Character, Message.character_id == Character.id
+                ).join(
+                    Conversation, Message.conversation_id == Conversation.id
+                ).where(
+                    Message.content.ilike(f'%{query}%')
+                ).order_by(desc(Message.timestamp)).limit(limit)
+                
+                results = await session.execute(search_query)
+                
+                search_results = []
+                for message, character_name, topic in results:
+                    # Calculate relevance score (simple approach)
+                    content_lower = message.content.lower()
+                    query_lower = query.lower()
+                    relevance = content_lower.count(query_lower) / max(1, len(content_lower.split()))
+                    
+                    # Create snippet with highlighted query
+                    snippet = message.content
+                    if len(snippet) > 150:
+                        # Find query position and create snippet around it
+                        query_pos = content_lower.find(query_lower)
+                        if query_pos != -1:
+                            start = max(0, query_pos - 50)
+                            end = min(len(snippet), query_pos + 100)
+                            snippet = snippet[start:end]
+                            if start > 0:
+                                snippet = "..." + snippet
+                            if end < len(message.content):
+                                snippet = snippet + "..."
+                    
+                    result = SearchResult(
+                        id=f"message_{message.id}",
+                        type="message",
+                        title=f"Message from {character_name}",
+                        snippet=snippet,
+                        relevance_score=relevance,
+                        timestamp=message.timestamp,
+                        character_names=[character_name],
+                        metadata={
+                            "conversation_id": message.conversation_id,
+                            "conversation_topic": topic,
+                            "message_id": message.id
+                        }
+                    )
+                    search_results.append(result)
+                
+                # Sort by relevance
+                search_results.sort(key=lambda x: x.relevance_score, reverse=True)
+                
+                return search_results
+                
+        except Exception as e:
+            logger.error(f"Error searching conversations: {e}")
+            return []
+    
+    async def export_conversation(self, conversation_id: int, format: str = "json") -> Dict[str, Any]:
+        """Export conversation in specified format"""
+        try:
+            conversation = await self.get_conversation_details(conversation_id)
+            if not conversation:
+                raise ValueError("Conversation not found")
+            
+            if format == "json":
+                return {
+                    "format": "json",
+                    "data": conversation.__dict__,
+                    "exported_at": datetime.utcnow().isoformat()
+                }
+            elif format == "text":
+                # Create readable text format
+                text_content = f"Conversation {conversation_id}\n"
+                text_content += f"Topic: {conversation.topic or 'No topic'}\n"
+                text_content += f"Participants: {', '.join(conversation.participants)}\n"
+                text_content += f"Start: {conversation.start_time}\n"
+                if conversation.end_time:
+                    text_content += f"End: {conversation.end_time}\n"
+                text_content += f"Messages: {conversation.message_count}\n\n"
+                
+                for message in conversation.messages:
+                    timestamp = datetime.fromisoformat(message["timestamp"]).strftime("%H:%M:%S")
+                    text_content += f"[{timestamp}] {message['character_name']}: {message['content']}\n"
+                
+                return {
+                    "format": "text",
+                    "data": text_content,
+                    "exported_at": datetime.utcnow().isoformat()
+                }
+            else:
+                raise ValueError(f"Unsupported format: {format}")
+                
+        except Exception as e:
+            logger.error(f"Error exporting conversation {conversation_id}: {e}")
+            raise
--- a/src/admin/services/dashboard_service.py
+++ b/src/admin/services/dashboard_service.py
@@ -0,0 +1,303 @@
+"""
+Dashboard service for real-time metrics and activity monitoring
+"""
+
+import asyncio
+import psutil
+from datetime import datetime, timedelta
+from typing import Dict, List, Any, Optional
+from collections import deque
+import logging
+
+from sqlalchemy import select, func, and_, desc
+from ...database.connection import get_db_session
+from ...database.models import Character, Conversation, Message, Memory
+from ..models import DashboardMetrics, ActivityEvent, ActivityType
+from .websocket_manager import WebSocketManager
+
+logger = logging.getLogger(__name__)
+
+class DashboardService:
+    """Service for dashboard metrics and real-time activity monitoring"""
+    
+    def __init__(self, websocket_manager: WebSocketManager):
+        self.websocket_manager = websocket_manager
+        self.activity_feed = deque(maxlen=1000)  # Keep last 1000 activities
+        self.metrics_cache = {}
+        self.cache_ttl = 30  # Cache metrics for 30 seconds
+        self.start_time = datetime.utcnow()
+        
+        # System monitoring
+        self.system_metrics = {
+            "cpu_usage": [],
+            "memory_usage": [],
+            "disk_usage": []
+        }
+    
+    @classmethod
+    async def initialize(cls):
+        """Initialize dashboard service"""
+        logger.info("Dashboard service initialized")
+    
+    async def get_metrics(self) -> DashboardMetrics:
+        """Get current dashboard metrics"""
+        try:
+            # Check cache
+            now = datetime.utcnow()
+            if 'metrics' in self.metrics_cache:
+                cached_time = self.metrics_cache['timestamp']
+                if (now - cached_time).total_seconds() < self.cache_ttl:
+                    return self.metrics_cache['metrics']
+            
+            # Calculate metrics from database
+            async with get_db_session() as session:
+                today = datetime.utcnow().date()
+                today_start = datetime.combine(today, datetime.min.time())
+                
+                # Total messages today
+                messages_today_query = select(func.count(Message.id)).where(
+                    Message.timestamp >= today_start
+                )
+                messages_today = await session.scalar(messages_today_query) or 0
+                
+                # Active conversations (those with messages in last hour)
+                hour_ago = datetime.utcnow() - timedelta(hours=1)
+                active_conversations_query = select(func.count(func.distinct(Message.conversation_id))).where(
+                    Message.timestamp >= hour_ago
+                )
+                active_conversations = await session.scalar(active_conversations_query) or 0
+                
+                # Character statistics
+                total_characters_query = select(func.count(Character.id))
+                total_characters = await session.scalar(total_characters_query) or 0
+                
+                # Characters active in last hour
+                characters_online_query = select(func.count(func.distinct(Character.id))).select_from(
+                    Character.__table__.join(Message.__table__)
+                ).where(Message.timestamp >= hour_ago)
+                characters_online = await session.scalar(characters_online_query) or 0
+                
+                # Average response time (placeholder - would need actual timing data)
+                average_response_time = 2.5
+                
+                # Memory usage
+                memory_info = psutil.virtual_memory()
+                memory_usage = {
+                    "total_mb": memory_info.total // (1024 * 1024),
+                    "used_mb": memory_info.used // (1024 * 1024),
+                    "percent": memory_info.percent
+                }
+                
+                # System uptime
+                uptime_seconds = (now - self.start_time).total_seconds()
+                uptime_str = self._format_uptime(uptime_seconds)
+                
+                # Database health check
+                try:
+                    await session.execute(select(1))
+                    database_health = "healthy"
+                except Exception:
+                    database_health = "error"
+                
+                metrics = DashboardMetrics(
+                    total_messages_today=messages_today,
+                    active_conversations=active_conversations,
+                    characters_online=characters_online,
+                    characters_total=total_characters,
+                    average_response_time=average_response_time,
+                    system_uptime=uptime_str,
+                    memory_usage=memory_usage,
+                    database_health=database_health,
+                    llm_api_calls_today=0,  # Would track from LLM client
+                    llm_api_cost_today=0.0,  # Would track from LLM client
+                    last_updated=now
+                )
+                
+                # Cache metrics
+                self.metrics_cache = {
+                    'metrics': metrics,
+                    'timestamp': now
+                }
+                
+                return metrics
+                
+        except Exception as e:
+            logger.error(f"Error getting dashboard metrics: {e}")
+            # Return fallback metrics
+            return DashboardMetrics(
+                total_messages_today=0,
+                active_conversations=0,
+                characters_online=0,
+                characters_total=0,
+                average_response_time=0.0,
+                system_uptime="unknown",
+                memory_usage={"total_mb": 0, "used_mb": 0, "percent": 0},
+                database_health="error",
+                llm_api_calls_today=0,
+                llm_api_cost_today=0.0,
+                last_updated=datetime.utcnow()
+            )
+    
+    async def get_recent_activity(self, limit: int = 50) -> List[Dict[str, Any]]:
+        """Get recent activity events"""
+        # Convert activity feed to list and limit
+        activities = list(self.activity_feed)[-limit:]
+        return [activity.__dict__ if hasattr(activity, '__dict__') else activity for activity in activities]
+    
+    async def add_activity(self, activity_type: ActivityType, description: str, 
+                          character_name: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None):
+        """Add new activity to feed"""
+        activity = ActivityEvent(
+            id=f"activity_{datetime.utcnow().timestamp()}",
+            type=activity_type,
+            timestamp=datetime.utcnow(),
+            character_name=character_name,
+            description=description,
+            metadata=metadata or {},
+            severity="info"
+        )
+        
+        self.activity_feed.append(activity)
+        
+        # Broadcast to WebSocket clients
+        await self.websocket_manager.broadcast_activity(activity.__dict__)
+    
+    async def get_system_health(self) -> Dict[str, Any]:
+        """Get detailed system health information"""
+        try:
+            # CPU usage
+            cpu_percent = psutil.cpu_percent(interval=1)
+            
+            # Memory usage
+            memory = psutil.virtual_memory()
+            
+            # Disk usage
+            disk = psutil.disk_usage('/')
+            
+            # Process information
+            processes = []
+            for proc in psutil.process_iter(['pid', 'name', 'memory_percent', 'cpu_percent']):
+                try:
+                    if 'python' in proc.info['name'].lower() or 'discord' in proc.info['name'].lower():
+                        processes.append(proc.info)
+                except (psutil.NoSuchProcess, psutil.AccessDenied):
+                    pass
+            
+            # Database connection test
+            database_status = "healthy"
+            try:
+                async with get_db_session() as session:
+                    await session.execute(select(1))
+            except Exception as e:
+                database_status = f"error: {str(e)}"
+            
+            health_data = {
+                "timestamp": datetime.utcnow().isoformat(),
+                "cpu": {
+                    "usage_percent": cpu_percent,
+                    "count": psutil.cpu_count()
+                },
+                "memory": {
+                    "total_gb": memory.total / (1024**3),
+                    "used_gb": memory.used / (1024**3),
+                    "percent": memory.percent
+                },
+                "disk": {
+                    "total_gb": disk.total / (1024**3),
+                    "used_gb": disk.used / (1024**3),
+                    "percent": (disk.used / disk.total) * 100
+                },
+                "database": {
+                    "status": database_status
+                },
+                "processes": processes[:10],  # Top 10 relevant processes
+                "websocket_connections": self.websocket_manager.get_connection_count()
+            }
+            
+            return health_data
+            
+        except Exception as e:
+            logger.error(f"Error getting system health: {e}")
+            return {"error": str(e), "timestamp": datetime.utcnow().isoformat()}
+    
+    async def monitor_message_activity(self):
+        """Background task to monitor message activity"""
+        try:
+            async with get_db_session() as session:
+                # Get recent messages
+                five_minutes_ago = datetime.utcnow() - timedelta(minutes=5)
+                recent_messages_query = select(Message, Character.name).join(
+                    Character, Message.character_id == Character.id
+                ).where(Message.timestamp >= five_minutes_ago).order_by(desc(Message.timestamp))
+                
+                results = await session.execute(recent_messages_query)
+                
+                for message, character_name in results:
+                    await self.add_activity(
+                        ActivityType.MESSAGE,
+                        f"{character_name}: {message.content[:100]}{'...' if len(message.content) > 100 else ''}",
+                        character_name,
+                        {"message_id": message.id, "conversation_id": message.conversation_id}
+                    )
+                    
+        except Exception as e:
+            logger.error(f"Error monitoring message activity: {e}")
+    
+    async def start_monitoring(self):
+        """Start background monitoring tasks"""
+        logger.info("Starting dashboard monitoring tasks")
+        
+        # Start periodic tasks
+        asyncio.create_task(self._periodic_metrics_update())
+        asyncio.create_task(self._periodic_health_check())
+    
+    async def _periodic_metrics_update(self):
+        """Periodically update and broadcast metrics"""
+        while True:
+            try:
+                metrics = await self.get_metrics()
+                await self.websocket_manager.broadcast_metrics(metrics.__dict__)
+                await asyncio.sleep(30)  # Update every 30 seconds
+            except Exception as e:
+                logger.error(f"Error in periodic metrics update: {e}")
+                await asyncio.sleep(60)  # Wait longer on error
+    
+    async def _periodic_health_check(self):
+        """Periodically check system health and send alerts"""
+        while True:
+            try:
+                health = await self.get_system_health()
+                
+                # Check for alerts
+                alerts = []
+                if health.get("cpu", {}).get("usage_percent", 0) > 90:
+                    alerts.append("High CPU usage detected")
+                if health.get("memory", {}).get("percent", 0) > 90:
+                    alerts.append("High memory usage detected")
+                if health.get("disk", {}).get("percent", 0) > 90:
+                    alerts.append("High disk usage detected")
+                
+                if alerts:
+                    await self.websocket_manager.broadcast_system_alert("resource_warning", {
+                        "alerts": alerts,
+                        "health_data": health
+                    })
+                
+                await asyncio.sleep(60)  # Check every minute
+                
+            except Exception as e:
+                logger.error(f"Error in periodic health check: {e}")
+                await asyncio.sleep(120)  # Wait longer on error
+    
+    def _format_uptime(self, seconds: float) -> str:
+        """Format uptime in human-readable format"""
+        days, remainder = divmod(int(seconds), 86400)
+        hours, remainder = divmod(remainder, 3600)
+        minutes, seconds = divmod(remainder, 60)
+        
+        if days > 0:
+            return f"{days}d {hours}h {minutes}m"
+        elif hours > 0:
+            return f"{hours}h {minutes}m"
+        else:
+            return f"{minutes}m {seconds}s"
--- a/src/admin/services/system_service.py
+++ b/src/admin/services/system_service.py
@@ -0,0 +1,170 @@
+"""
+System service for monitoring and controlling the fishbowl system
+"""
+
+import logging
+from datetime import datetime, timedelta
+from typing import Dict, List, Any, Optional
+import psutil
+import json
+
+from ..models import SystemStatus, SystemStatusEnum, SystemConfiguration, LogEntry
+
+logger = logging.getLogger(__name__)
+
+class SystemService:
+    """Service for system monitoring and control"""
+    
+    def __init__(self):
+        self.system_state = SystemStatusEnum.RUNNING
+        self.start_time = datetime.utcnow()
+        self.error_count = 0
+        self.warnings_count = 0
+        self.log_buffer = []
+    
+    @classmethod
+    async def initialize(cls):
+        """Initialize system service"""
+        logger.info("System service initialized")
+    
+    async def get_status(self) -> SystemStatus:
+        """Get current system status"""
+        try:
+            uptime_seconds = (datetime.utcnow() - self.start_time).total_seconds()
+            uptime_str = self._format_uptime(uptime_seconds)
+            
+            # Get resource usage
+            memory = psutil.virtual_memory()
+            cpu_percent = psutil.cpu_percent(interval=1)
+            
+            resource_usage = {
+                "cpu_percent": cpu_percent,
+                "memory_total_mb": memory.total // (1024 * 1024),
+                "memory_used_mb": memory.used // (1024 * 1024),
+                "memory_percent": memory.percent
+            }
+            
+            # Performance metrics
+            performance_metrics = {
+                "avg_response_time": 2.5,  # Would track actual response times
+                "requests_per_minute": 30,  # Would track actual request rate
+                "database_query_time": 0.05  # Would track actual DB performance
+            }
+            
+            return SystemStatus(
+                status=self.system_state,
+                uptime=uptime_str,
+                version="1.0.0",
+                database_status="healthy",
+                redis_status="healthy", 
+                llm_service_status="healthy",
+                discord_bot_status="connected",
+                active_processes=["main", "conversation_engine", "scheduler", "admin_interface"],
+                error_count=self.error_count,
+                warnings_count=self.warnings_count,
+                performance_metrics=performance_metrics,
+                resource_usage=resource_usage
+            )
+            
+        except Exception as e:
+            logger.error(f"Error getting system status: {e}")
+            return SystemStatus(
+                status=SystemStatusEnum.ERROR,
+                uptime="unknown",
+                version="1.0.0",
+                database_status="error",
+                redis_status="unknown",
+                llm_service_status="unknown", 
+                discord_bot_status="unknown",
+                active_processes=[],
+                error_count=self.error_count + 1,
+                warnings_count=self.warnings_count,
+                performance_metrics={},
+                resource_usage={}
+            )
+    
+    async def pause_system(self):
+        """Pause the entire system"""
+        try:
+            logger.info("Pausing system operations")
+            self.system_state = SystemStatusEnum.PAUSED
+            # Would integrate with main application to pause operations
+            
+        except Exception as e:
+            logger.error(f"Error pausing system: {e}")
+            raise
+    
+    async def resume_system(self):
+        """Resume system operations"""
+        try:
+            logger.info("Resuming system operations")
+            self.system_state = SystemStatusEnum.RUNNING
+            # Would integrate with main application to resume operations
+            
+        except Exception as e:
+            logger.error(f"Error resuming system: {e}")
+            raise
+    
+    async def get_configuration(self) -> SystemConfiguration:
+        """Get system configuration"""
+        # Default configuration values
+        return SystemConfiguration(
+            conversation_frequency=0.5,
+            response_delay_min=1.0,
+            response_delay_max=5.0,
+            personality_change_rate=0.1,
+            memory_retention_days=90,
+            max_conversation_length=50,
+            creativity_boost=True,
+            conflict_resolution_enabled=True,
+            safety_monitoring=True,
+            auto_moderation=False,
+            backup_frequency_hours=24
+        )
+    
+    async def update_configuration(self, config: Dict[str, Any]):
+        """Update system configuration"""
+        try:
+            logger.info(f"Updating system configuration: {config}")
+            # Would integrate with main application to update configuration
+            
+        except Exception as e:
+            logger.error(f"Error updating configuration: {e}")
+            raise
+    
+    async def get_logs(self, limit: int = 100, level: Optional[str] = None) -> List[LogEntry]:
+        """Get system logs"""
+        try:
+            # In production, this would read from actual log files
+            sample_logs = [
+                LogEntry(
+                    timestamp=datetime.utcnow() - timedelta(minutes=i),
+                    level="INFO" if i % 3 != 0 else "DEBUG",
+                    component="conversation_engine",
+                    message=f"Sample log message {i}",
+                    metadata={"log_id": i}
+                )
+                for i in range(min(limit, 50))
+            ]
+            
+            if level:
+                sample_logs = [log for log in sample_logs if log.level == level.upper()]
+            
+            return sample_logs
+            
+        except Exception as e:
+            logger.error(f"Error getting logs: {e}")
+            return []
+    
+    def _format_uptime(self, seconds: float) -> str:
+        """Format uptime in human-readable format"""
+        days, remainder = divmod(int(seconds), 86400)
+        hours, remainder = divmod(remainder, 3600)
+        minutes, seconds = divmod(remainder, 60)
+        
+        if days > 0:
+            return f"{days}d {hours}h {minutes}m"
+        elif hours > 0:
+            return f"{hours}h {minutes}m"
+        else:
+            return f"{minutes}m {seconds}s"
--- a/src/admin/services/websocket_manager.py
+++ b/src/admin/services/websocket_manager.py
@@ -0,0 +1,132 @@
+"""
+WebSocket manager for real-time updates
+"""
+
+import json
+import asyncio
+from typing import List, Dict, Any
+from fastapi import WebSocket
+import logging
+
+logger = logging.getLogger(__name__)
+
+class WebSocketManager:
+    """Manage WebSocket connections for real-time updates"""
+    
+    def __init__(self):
+        self.active_connections: List[WebSocket] = []
+        self.connection_metadata: Dict[WebSocket, Dict[str, Any]] = {}
+    
+    async def connect(self, websocket: WebSocket):
+        """Accept new WebSocket connection"""
+        await websocket.accept()
+        self.active_connections.append(websocket)
+        self.connection_metadata[websocket] = {
+            "connected_at": asyncio.get_event_loop().time(),
+            "message_count": 0
+        }
+        logger.info(f"WebSocket connected. Total connections: {len(self.active_connections)}")
+    
+    def disconnect(self, websocket: WebSocket):
+        """Remove WebSocket connection"""
+        if websocket in self.active_connections:
+            self.active_connections.remove(websocket)
+        if websocket in self.connection_metadata:
+            del self.connection_metadata[websocket]
+        logger.info(f"WebSocket disconnected. Total connections: {len(self.active_connections)}")
+    
+    async def send_personal_message(self, message: Dict[str, Any], websocket: WebSocket):
+        """Send message to specific WebSocket"""
+        try:
+            await websocket.send_text(json.dumps(message))
+            if websocket in self.connection_metadata:
+                self.connection_metadata[websocket]["message_count"] += 1
+        except Exception as e:
+            logger.error(f"Error sending personal message: {e}")
+            self.disconnect(websocket)
+    
+    async def broadcast(self, message: Dict[str, Any]):
+        """Broadcast message to all connected WebSockets"""
+        if not self.active_connections:
+            return
+        
+        message_text = json.dumps(message)
+        disconnected = []
+        
+        for connection in self.active_connections:
+            try:
+                await connection.send_text(message_text)
+                if connection in self.connection_metadata:
+                    self.connection_metadata[connection]["message_count"] += 1
+            except Exception as e:
+                logger.error(f"Error broadcasting to connection: {e}")
+                disconnected.append(connection)
+        
+        # Remove disconnected WebSockets
+        for connection in disconnected:
+            self.disconnect(connection)
+    
+    async def broadcast_activity(self, activity_data: Dict[str, Any]):
+        """Broadcast activity update to all connections"""
+        message = {
+            "type": "activity_update",
+            "data": activity_data,
+            "timestamp": asyncio.get_event_loop().time()
+        }
+        await self.broadcast(message)
+    
+    async def broadcast_metrics(self, metrics_data: Dict[str, Any]):
+        """Broadcast metrics update to all connections"""
+        message = {
+            "type": "metrics_update",
+            "data": metrics_data,
+            "timestamp": asyncio.get_event_loop().time()
+        }
+        await self.broadcast(message)
+    
+    async def broadcast_character_update(self, character_name: str, update_data: Dict[str, Any]):
+        """Broadcast character status update"""
+        message = {
+            "type": "character_update",
+            "character_name": character_name,
+            "data": update_data,
+            "timestamp": asyncio.get_event_loop().time()
+        }
+        await self.broadcast(message)
+    
+    async def broadcast_conversation_update(self, conversation_id: int, update_data: Dict[str, Any]):
+        """Broadcast conversation update"""
+        message = {
+            "type": "conversation_update",
+            "conversation_id": conversation_id,
+            "data": update_data,
+            "timestamp": asyncio.get_event_loop().time()
+        }
+        await self.broadcast(message)
+    
+    async def broadcast_system_alert(self, alert_type: str, alert_data: Dict[str, Any]):
+        """Broadcast system alert"""
+        message = {
+            "type": "system_alert",
+            "alert_type": alert_type,
+            "data": alert_data,
+            "timestamp": asyncio.get_event_loop().time()
+        }
+        await self.broadcast(message)
+    
+    def get_connection_count(self) -> int:
+        """Get number of active connections"""
+        return len(self.active_connections)
+    
+    def get_connection_stats(self) -> Dict[str, Any]:
+        """Get connection statistics"""
+        total_messages = sum(
+            metadata.get("message_count", 0) 
+            for metadata in self.connection_metadata.values()
+        )
+        
+        return {
+            "active_connections": len(self.active_connections),
+            "total_messages_sent": total_messages,
+            "average_messages_per_connection": total_messages / max(1, len(self.active_connections))
+        }