Kymera Voice

kymera-voice-memory

Voice-to-memory integration skill for Kymera Voice assistant.

Description

Enables World Weaver memory integration in Kymera Voice, allowing the voice assistant to remember conversations, retrieve relevant context, and learn from interactions.

When to Use

• When configuring Kymera Voice with memory features
• When debugging voice-memory integration issues
• When customizing memory behavior for voice interactions

Integration Points

In Kymera Voice (ky.py)

# Import (optional - graceful fallback)
try:
    from ww.integrations.kymera import JarvisMemoryHook
    WW_AVAILABLE = True
except ImportError:
    WW_AVAILABLE = False

# Initialize in __init__
self.memory_enabled = memory_enabled and WW_AVAILABLE
self.ww_url = ww_url or os.environ.get("WW_URL", "http://localhost:8765")
self.memory_hook: JarvisMemoryHook | None = None

# Connect in run()
if self.memory_enabled:
    try:
        self.memory_hook = await JarvisMemoryHook.create_async(
            ww_url=self.ww_url,
            session_id=f"ky-{self.conversation.session_id}",
        )
    except Exception as e:
        logger.warning(f"World Weaver unavailable: {e}")
        self.memory_hook = None

# Enhance context before LLM call
if self.memory_hook:
    enhanced = await self.memory_hook.enhance_context(
        user_text, session_id=self.conversation.session_id
    )
    if enhanced and enhanced.system_prompt_addition:
        context["memory_context"] = enhanced.system_prompt_addition

# Store after response
if self.memory_hook:
    await self.memory_hook.on_response(
        user_text, response_text,
        was_action=False,
        was_interrupted=was_interrupted,
    )

Key Classes

JarvisMemoryHook

Primary integration class for voice assistants.

Methods:

• create_async(ww_url, session_id) - Factory for async initialization
• enhance_context(query, session_id) - Get relevant memories for query
• on_response(user, assistant, was_action, was_interrupted) - Store episode

EnhancedContext

Returned by enhance_context():

• system_prompt_addition: str - Text to add to system prompt
• relevant_memories: list[dict] - Raw memory data

VoiceMemoryBridge

Lower-level bridge for custom integrations:

• connect() - Establish connection to WW
• store_conversation() - Store interaction episode
• get_context_for_query() - Retrieve relevant context

Configuration

Environment Variables

Kymera Voice Parameters

Requirements

• World Weaver (ww) package installed
• WW MCP server running
• Neo4j database (graph storage)
• Qdrant database (vector storage)

Testing

cd ~/vm/kymera-voice
pytest tests/test_ww_integration.py -v

Graceful Degradation

The integration is designed for graceful fallback:

1. If ww package not installed: WW_AVAILABLE = False
2. If WW server not running: memory_hook = None
3. If memory operations fail: Logged, but doesn't crash

Voice assistant continues working without memory when WW unavailable.