Agentic AI Central - Content Repository

Content repository for Agentic AI Central — your hub for exploring and learning Agentic AI on AWS.

About

This repository contains the community-contributed content that powers the Agentic AI Central website. The site aggregates learning materials, design patterns, reference architectures, and implementation blueprints for building agentic AI solutions on AWS.

For the website application code, see: sample-agentic-ai-central

Content Structure

├── discover/
│   ├── design-patterns/              # Agentic AI design patterns
│   ├── reference-architectures/
│   │   ├── amazon-bedrock/           # Amazon Bedrock serverless patterns
│   │   └── amazon-bedrock-agentcore/ # AgentCore deployment patterns
│   └── getting-started/              # Getting started guides for AWS services
└── build/
    └── blueprints/                   # Step-by-step implementation guides

Contributing

We welcome community contributions! You can contribute to the following content types:

Design Patterns

Service-agnostic patterns describing how agentic AI systems work. Each pattern includes:

• Description and how it works
• Examples and best-for use cases
• Considerations and trade-offs
• Related patterns and architectures
• Architecture diagram (SVG)

Location: discover/design-patterns/

Getting Started Guides

Introductory guides for AWS services used in agentic AI applications.

Location: discover/getting-started/

Reference Architectures

Production-ready architectures for deploying agentic AI on AWS. Each architecture includes:

• Architecture diagram
• How it works flow
• Key components and AWS services
• Advantages and considerations
• When to use guidance
• Related patterns

Location: discover/reference-architectures/

Blueprints

Step-by-step implementation guides with code samples for specific use cases.

Location: build/blueprints/

How to Contribute

1. Fork this repository
2. Create your content following the existing structure and format
3. Submit a Pull Request with a clear description of your contribution

For detailed guidelines, see CONTRIBUTING.md.

Quick Feedback

If you have suggestions or find issues but don't have time for a PR, please open an issue with your feedback.

Contact

For feedback, feature requests, and contributions contact rodzanto@, hamitis@, and tsaris@ from AWS.

Security

See CONTRIBUTING.md for information about reporting security issues.

License

This project is licensed under the MIT-0 License. See the LICENSE file.