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AI agents running research on single-GPU nanochat training automatically
The AmazonDynamoDBLockClient is a general purpose distributed locking library built on top of DynamoDB. It supports both coarse-grained and fine-grained locking.
Amazon CloudWatch Embedded Metric Format Client Library
A SDK to help users embed QuickSight dashboards on other pages.
Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities
A Python module for creating sample events to test AWS Lambda functions.
PlantUML sprites, macros, and other includes for Amazon Web Services services and resources
Additional documentation for publicly available datasets on AWS
The AWS Solutions Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions
Experimental Async AWS SDK Clients for Python (In Development)
A browser for open-data-registry: https://github.com/awslabs/open-data-registry
Your trusted generative AI knowledge hub
Virtual Engineering Workbench (VEW) is a platform for deploying and managing self-service virtual engineering workbenches on AWS - helping engineering organizations accelerate product development, …
Tools to make effective use of DynamoDB easier.
A library with Make targets, Ansible playbooks, Jinja templates (and more) designed to boost common software development tasks and enhance governance.
CLI tools for maintaining Markdown content like documentation and tutorials
Flexible Fullstack solution template for production-ready deployments of any use case on Amazon Bedrock AgentCore.
Official AWS Startups repository that hosts plugins, skills, tools and resources to support startup builders on AWS
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
Learn it. Build it. Ship it for others.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Python tool for converting files and office documents to Markdown.
An agentic skills framework & software development methodology that works.