Deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime – Part 1

📰 AWS Machine Learning

Learn to deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime

intermediate Published 25 Mar 2026

Action Steps

Understand the basics of Pipecat voice agents
Explore Amazon Bedrock AgentCore Runtime and its features
Choose a suitable network transport approach (WebSockets, WebRTC, or telephony integration)
Deploy Pipecat voice agents on AgentCore Runtime using the chosen approach

Who Needs to Know This

AI engineers and developers on a team benefit from this guide as it provides practical deployment guidance and code samples for voice agents, enabling them to build and integrate voice-based applications effectively

Key Insight

💡 Pipecat voice agents can be deployed on Amazon Bedrock AgentCore Runtime using various network transport approaches

Key Takeaways

Learn to deploy voice agents with Pipecat and Amazon Bedrock AgentCore Runtime

Full Article

In this series of posts, you will learn how streaming architectures help address these challenges using Pipecat voice agents on Amazon Bedrock AgentCore Runtime. In Part 1, you will learn how to deploy Pipecat voice agents on AgentCore Runtime using different network transport approaches including WebSockets, WebRTC and telephony integration, with practical deployment guidance and code samples.

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