AWS has published a walkthrough on building a personal AI assistant that preserves context across sessions. The post addresses a common limitation of off-the-shelf assistants, which forget prior interactions between conversations.
The approach uses OpenClaw running on the Amazon Bedrock AgentCore runtime. AgentCore memory is used to turn disposable chats into durable, structured knowledge, which can then be retrieved using metadata filters.
Why it matters
Persistent, structured memory allows an assistant to accumulate context over time rather than starting fresh each session, which can improve continuity and relevance of responses.
Who should care
Developers and teams working with Amazon Bedrock AgentCore who want to build assistants that retain and query user context across conversations.