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Kymera Voice Memory is a specialized skill designed to bridge the gap between real-time voice interactions and persistent data storage. By leveraging the World Weaver integration, Neo4j, and Qdrant, this skill enables voice assistants to recall past conversations, retrieve relevant context for current queries, and learn from every user interaction. It provides a robust framework for context enhancement and episode storage, featuring built-in graceful degradation to ensure the assistant remains functional even if the backend memory services are offline. This skill is essential for developers building stateful, intelligent voice interfaces that require a deep understanding of user history.
