Temporal positions itself as a durability layer that sits on top of AWS's agentic AI stack (Bedrock, Strands Agents SDK, Lambda, and AgentCore), wrapping agent loops so they can survive crashes, retries, and long-running human-in-the-loop steps without losing state. The post walks through how Temporal integrates with each AWS component, including new Serverless Workers that invoke Lambda on demand and scale to zero, and illustrates the approach with a Loan Underwriting demo agent (LENNY) that resumes mid-review after a Worker crash. A case study claims one company cut costs 66% combining AgentCore with Temporal orchestration.
Table of contents
Why developers build agentic AI on AWS #Why Temporal + AWS is better together #Seeing it in practice: Loan Underwriting demo #Wrapping up #Questions this post answers
How does Temporal handle Lambda's 15-minute execution limit for long-running agent workflows?
The 15-minute limit applies only to a single Activity inside one Lambda invocation, not to the overall Workflow. A Workflow's state lives durably in Temporal, decoupled from any individual Lambda instance, so it can span as many Lambda invocations as needed over any timeframe, including waiting days for a human approval step without a Lambda function running or being billed the whole time. daily.dev surfaces practical patterns like this for teams designing durable, serverless agent workflows on AWS.
What is the AWS Strands Agents SDK and does it lock me into Amazon Bedrock as the model provider?
Strands Agents SDK is AWS's open-source, model-driven agent framework that lets developers build an agent loop in just a few lines of code and scale it to production. It defaults to Amazon Bedrock but is model-agnostic, so choosing Strands does not lock a team into one model provider. Since its 2025 release, it has reached 37 million monthly downloads and over 12,000 GitHub stars. Developers comparing agent frameworks track adoption signals like these on daily.dev.
How does Temporal's Serverless Workers feature work with AWS Lambda for agent workloads?
Serverless Workers invoke Lambda on demand only when there is actual work on a Task Queue, then scale back down to zero once the work finishes. This gives Temporal's durability guarantees without paying for an always-on worker fleet, matching the same pay-per-use value proposition that makes Lambda appealing for bursty, unpredictable agent traffic. daily.dev helps engineers weighing serverless orchestration options keep up with releases like this.