Run durable AI agents on Amazon Bedrock AgentCore with Temporal Serverless Workers

Temporal has introduced a prerelease integration that allows Amazon Bedrock AgentCore Runtime to serve as a compute provider for Temporal Serverless Workers, combining elastic AWS-hosted agent infrastructure with Temporal’s durable workflow execution. Developers can deploy agent code, such as the provided Python Strands sample, to AgentCore Runtime and configure it through a versioned Temporal Worker Deployment, enabling controlled rollouts and automatic scaling without maintaining continuously running Worker fleets. The approach is designed for bursty, long-running agent workloads, with Temporal preserving workflow state, retries, timers, signals, and recovery from failures while AgentCore provides managed compute, identity, tool access, policy, memory, and observability services. In the reference architecture, Temporal Workflows coordinate agent loops and long waits, while model calls and tool operations run as Activities with explicit retry and failure controls; AgentCore Runtime sessions host the Workers that poll Temporal task queues. The integration also supports efficient use of Runtime sessions during active model or tool calls, releasing capacity after work subsides, while maintaining durable application progress even when individual Workers are replaced.

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