feat(phase-04): Wyoming Satellite integration + OpenClaw HA components

## Voice Pipeline (P3)
- Replace openWakeWord daemon with Wyoming Satellite approach
- Add Wyoming Satellite service on port 10700 for HA voice pipeline
- Update setup.sh with cross-platform sed compatibility (macOS/Linux)
- Add version field to Kokoro TTS voice info
- Update launchd service loader to use Wyoming Satellite

## Home Assistant Integration (P4)
- Add custom conversation agent component (openclaw_conversation)
  - Fix: Use IntentResponse instead of plain strings (HA API requirement)
  - Support both HTTP API and CLI fallback modes
  - Config flow for easy HA UI setup
- Add OpenClaw bridge scripts (Python + Bash)
- Add ha-ctl utility for HA entity control
  - Fix: Use context manager for token file reading
- Add HA configuration examples and documentation

## Infrastructure
- Add mem0 backup automation (launchd + script)
- Add n8n workflow templates (morning briefing, notification router)
- Add VS Code workspace configuration
- Reorganize model files into categorized folders:
  - lmstudio-community/
  - mlx-community/
  - bartowski/
  - mradermacher/

## Documentation
- Update PROJECT_PLAN.md with Wyoming Satellite architecture
- Update TODO.md with completed Wyoming integration tasks
- Add OPENCLAW_INTEGRATION.md for HA setup guide

## Testing
- Verified Wyoming services running (STT:10300, TTS:10301, Satellite:10700)
- Verified OpenClaw CLI accessibility
- Confirmed cross-platform compatibility fixes

homeai-agent/test_mem0.py

@@ -0,0 +1,36 @@
+import os
+from mem0 import Memory
+
+config = {
+    "vector_store": {
+        "provider": "chroma",
+        "config": {
+            "collection_name": "homeai_memory",
+            "path": os.path.expanduser("~/.openclaw/memory/chroma/"),
+        }
+    },
+    "llm": {
+        "provider": "ollama",
+        "config": {
+            "model": "qwen2.5:7b",
+            "ollama_base_url": "http://localhost:11434",
+        }
+    },
+    "embedder": {
+        "provider": "ollama",
+        "config": {
+            "model": "nomic-embed-text",
+            "ollama_base_url": "http://localhost:11434",
+        }
+    }
+}
+
+m = Memory.from_config(config)
+
+# Test storing a memory
+result = m.add("The user's favorite color is blue.", user_id="aodhan")
+print(f"Store result: {result}")
+
+# Test searching for the memory
+search_results = m.search("What is the user's favorite color?", user_id="aodhan")
+print(f"Search results: {search_results}")