Amazon SageMaker Data Agent now supports conversation history

Amazon SageMaker Data Agent, available in SageMaker Unified Studio now supports conversation history, enabling data practitioners to maintain continuity across analytical sessions. Data analysts and data scientists can now seamlessly reference previous agent-generated code, resume multi-step analyses, and review past troubleshooting interactions within their notebooks and Query Editor workflows. With conversation history, you can pick up exactly where you left off by accessing a scrollable list of past conversations through the clock icon in the chat panel header. Each conversation includes auto-generated titles and timestamps for easy identification. Whether you're resuming complex multi-step analyses, reusing agent-generated code, or continuing troubleshooting from earlier notebook runs, conversation history keeps the context preserved. Data teams save time, eliminate rework, and move faster across concurrent projects, staying focused on insights rather than rebuilding context. Conversation history is available in [all AWS Regions where Amazon SageMaker Data Agent](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html) is currently available. To learn more about Amazon SageMaker Data Agent and how to leverage conversation history in your analytical workflows, visit the [Amazon SageMaker product page](https://aws.amazon.com/sagemaker/) or explore the [Amazon SageMaker Unified Studio documentation](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/sagemaker-data-agent.html).