Building a context-aware AI assistant on AgentCore and OpenClaw
Amazon Web Services Thiago Verney
OpenClaw and Amazon Bedrock AgentCore were used to build an AI assistant that retains user context by storing and retrieving both chat events and extracted long-term memory instead of starting each conversation from zero.
Why it matters
Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentCore memory turning disposable chats into durable, structured knowledge you can retrieve with metadata filters.
