Organizations are eager to deploy AI agents but often hit a “proof of concept purgatory” stage. Key challenges include the desire for diverse frameworks, complex security needs, and unpredictable compute resources. Many struggle with identity and access control, and managing large input types can exceed typical limits. Amazon Bedrock’s AgentCore Runtime addresses these issues by providing a secure, serverless environment tailored for AI agents, simplifying deployment and scaling. It allows for streamlined execution with minimal code changes, ensuring flexibility in framework and model use. Features include persistent state management, secure session isolation, and support for large payload processing. AgentCore Runtime operates on a consumption-based pricing model, charging only for active resource use, significantly reducing costs. Developers can focus on building intelligent applications while AgentCore handles infrastructure complexities. For hands-on learning, examples using various frameworks are available on GitHub.
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