Initial commit: Alfred Mobile - AI Assistant Android App

- OAuth authentication via Authentik
- WebSocket connection to OpenClaw gateway
- Configurable gateway URL with first-run setup
- User preferences sync across devices
- Multi-user support with custom assistant names
- ElevenLabs TTS integration (local + remote)
- FCM push notifications for alarms
- Voice input via Google Speech API
- No hardcoded secrets or internal IPs in tracked files

WAKE_WORD_IMPLEMENTATION.md

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+# Wake Word Implementation Plan
+
+## Overview
+Add "Hey Alfred" or "Alfred" wake word detection to activate voice input hands-free.
+
+## Technology Choice: Porcupine by Picovoice
+
+**Why Porcupine:**
+- ✅ On-device processing (no internet required)
+- ✅ Low battery usage
+- ✅ Free tier available (1 wake word, non-commercial)
+- ✅ Android SDK available
+- ✅ Custom wake words supported
+
+**Free Tier Limits:**
+- 1 user account
+- 1 custom wake word model
+- Non-commercial use only
+- On-device processing (unlimited uses)
+
+## Implementation Steps
+
+### 1. Sign up for Porcupine
+- Go to https://console.picovoice.ai/
+- Create account
+- Get Access Key (free tier)
+- Train custom "Alfred" wake word
+
+### 2. Add Porcupine SDK
+
+Add to `app/build.gradle.kts`:
+```kotlin
+dependencies {
+    implementation("ai.picovoice:porcupine-android:3.0.2")
+}
+```
+
+### 3. Add to secrets.properties
+```
+PORCUPINE_ACCESS_KEY=<your-access-key-here>
+```
+
+### 4. Create WakeWordManager.kt
+
+Similar to VoiceInputManager, this would:
+- Initialize Porcupine with the wake word model
+- Listen continuously in the background (low power mode)
+- Trigger voice input when wake word detected
+- Show visual feedback (e.g., pulse animation)
+
+### 5. Add Background Service
+
+Wake word detection needs to run in the background:
+- Foreground service with notification
+- Shows "Listening for 'Hey Alfred'..." notification
+- Can be toggled on/off from app
+- Respects battery optimization settings
+
+### 6. UI Updates
+
+Add toggle in settings or status bar:
+- "Wake Word Detection" switch
+- Shows when listening
+- Visual feedback when triggered (e.g., microphone icon pulses)
+
+## User Experience Flow
+
+1. User enables "Wake Word Detection" in app
+2. App starts background service
+3. Notification shows: "Listening for 'Hey Alfred'"
+4. User says **"Hey Alfred"** or **"Alfred"**
+5. App shows visual feedback (screen lights up, icon pulses)
+6. Voice input starts automatically
+7. User speaks their message
+8. Message auto-sends when done
+9. Alfred responds with voice
+
+## Considerations
+
+**Battery Impact:**
+- Porcupine is optimized for low power
+- Typically <1% battery drain per hour
+- Can be toggled off when not needed
+
+**Privacy:**
+- All processing on-device
+- No audio sent to cloud
+- Only activates when wake word detected
+
+**Implementation Complexity:**
+- Medium complexity (1-2 hours work)
+- Requires Porcupine setup
+- Need background service implementation
+- Permission handling (microphone always-on)
+
+## Next Steps
+
+If you want this feature:
+1. Create Picovoice account
+2. Get Access Key
+3. Train "Alfred" wake word model
+4. I can implement the code integration
+
+Let me know if you want to proceed with this! 🎤