Multichannel AI Agent: Shared Memory Across Messaging Platforms

Build an AI chatbot that remembers users across WhatsApp and Instagram using Amazon Bedrock AgentCore, unified identity, and DynamoDB message buffering You send a video on WhatsApp. You switch to Instagram. You ask about the video. The chatbot has no idea what you are talking about. Most AI chatbots treat every channel as a separate conversation with no shared context, no shared memory, and no continuity. I built a multichannel AI agent that solves this problem using Amazon Bedrock AgentCore . One deployment serves both WhatsApp and Instagram with shared memory. The agent remembers your name, your photos, your videos, and your preferences regardless of which channel you write from. Assumes familiarity with AWS CDK , AWS Lambda , and WhatsApp/Instagram API concepts. Deployment takes approximately 15 minutes per stack. What does a multichannel AI agent with shared memory look like? Here is the agent processing different media types on WhatsApp and responding on Instagram with full contex