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Explore building production-ready, multi-agent AI systems using the open-source Strands Agents SDK in this AWS re:Invent 2025 conference session. Discover how to create sophisticated AI agents capable of handling multiple modalities with just a few lines of code, focusing on practical implementation techniques for enterprise-scale applications. Learn to develop custom tools specifically designed for video content analysis and understand the process of converting these tools into Model Context Protocol (MCP) servers for enhanced interoperability. Follow along with live coding demonstrations that showcase the implementation of scalable chat memory systems using Amazon S3 Vectors, covering the complete development lifecycle from local testing environments to full enterprise production deployments. Master the techniques agents use to maintain contextual awareness across extended conversations, enabling them to deliver personalized and relevant responses through efficient memory storage and retrieval mechanisms. Gain insights into architecting multi-modal AI systems that can process and understand various types of content while maintaining performance and scalability in cloud-native environments.
