Session
Build multi-modal AI agents with scalable chat memory
The open-source Strands Agents SDK enables building production-ready, multi-agent AI systems in a few lines of code. The session demonstrates creating custom tools for video content analysis and converting them into Model Context Protocol (MCP) servers. Live code examples show how to implement scalable chat memory with Amazon S3 Vectors, from local development to enterprise production. Developers will learn how agents maintain context across conversations and provide personalized responses through efficient memory storage and retrieval.
Developers will learn how multimodal agents maintain context across conversations and provide personalized responses through efficient memory storage and retrieval

Elizabeth Fuentes Leone
Developer Advocate
San Francisco, California, United States
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top