Amazon Bedrock AgentCore Memory Links Voice and Chat AI Agents in Shared Omnichannel Experience

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A developer has built an omnichannel shopping assistant that allows a voice agent and a text chat agent to share long-term memory using Amazon Bedrock AgentCore Memory, Strands, and Amplify Gen 2. Previously, the two agents operated independently, meaning user preferences shared with one channel were unknown to the other. The solution uses AgentCore Memory's extraction strategies — User Preference and Semantic — to distill raw conversation events into persistent, cross-channel knowledge such as budget ranges and gear preferences. Short-term memory within individual sessions is handled automatically by existing tools: Amplify AI Kit for chat and the Strands BidiAgent for voice. Together, these components allow both agents to behave as a single unified assistant, carrying context like 'prefers ultralight camping gear' across sessions and channels.

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