Aws Lambda Durable Functions

If you're building workflows that need to survive restarts, handle retries gracefully, or coordinate multi-step processes that run for days or months, this is worth learning. It's AWS's answer to durable execution patterns, letting Lambda functions checkpoint their progress and resume after interruptions. The replay model takes some getting used to (anything non-deterministic must go in a step, no nesting durable operations), but once you internalize those rules, you can build surprisingly resilient systems. Supports TypeScript, JavaScript, and Python. The skill covers the fundamentals plus practical patterns like saga compensation, human-in-the-loop callbacks, and parallel execution. Good for AI agents, approval workflows, or any serverless process that shouldn't start over from scratch when something fails.

GitHub stars: 783
last updated: Jun 11, 2026

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Install

$ npx -y skills add awslabs/agent-plugins --skill aws-lambda-durable-functions --agent claude-code

Installs into .claude/skills of the current project.

Files

AWS Lambda durable functions

Build resilient multi-step applications and AI workflows that can execute for up to 1 year while maintaining reliable progress despite interruptions.

Onboarding

Step 1: Validate Prerequisites

Before using AWS Lambda durable functions, verify:

AWS CLI is installed (2.33.22 or higher) and configured:
```
aws --version
aws sts get-caller-identity
```
Runtime environment is ready:
- For TypeScript/JavaScript: Node.js 22+ (node --version)
- For Python: Python 3.11+ (python --version. Note that currently only Lambda runtime environments 3.13+ come with the Durable Execution SDK pre-installed. 3.11 is the min supported Python version by the Durable SDK itself, however, you could use OCI to bring your own container image with your own Python runtime + Durable SDK.)
Deployment capability exists (one of):
- AWS SAM CLI (sam --version) 1.153.1 or higher
- AWS CDK (cdk --version) v2.237.1 or higher
- Direct Lambda deployment access