AgentsSeptember 4, 2026via AWS Machine Learning Blog
Deploy a multimodal WhatsApp ordering assistant with Amazon Bedrock AgentCore
Why it matters
AWS Bedrock AgentCore enables practitioners to deploy stateful, multi-channel agents that recognize customers across voice and text. This is an inflection point: agents moving from proof-of-concept to commerce-ready infrastructure with persistent memory and real-time call handling.
Key signals
- Amazon Bedrock AgentCore framework released
- Multimodal support: text, voice notes, real-time voice calls
- Single shared customer memory across three channels
- Built on Amazon Nova 2 models
- WhatsApp integration as reference deployment
- Channel and ordering layers decoupled (architecture pattern)
- Amazon Bedrock AgentCore used for agent orchestration
- Amazon Nova 2 as the underlying model
- Multimodal input: text messages, voice notes, real-time voice calls
- Single business number serving three channels
- Persistent customer memory across channels
- Channel and ordering logic architecturally separated
- Published as AWS ML blog tutorial (Sept 2026)
The hook
Amazon ships multimodal agent framework for production WhatsApp deployments — text, voice, calls on one business number.
Learn how to deploy a multimodal WhatsApp ordering assistant that takes customer orders through text, voice notes, and real-time voice calls on a single business number, built on Amazon Bedrock AgentCore with Amazon Nova 2. The channel and ordering layers stay separate, and one shared memory recogni…