# Agentic AI Central - Full Documentation

> Your Hub for Exploring and Learning Agentic AI on AWS - A comprehensive resource hub with 0 resources for building agentic AI solutions on AWS using Amazon Bedrock, Amazon Bedrock AgentCore, and open-source frameworks.

Software is undergoing a transformative shift from deterministic to agentic paradigms—evolving from rule-following systems to autonomous agents that observe, act, and learn from their environment. Agentic AI Central gathers key learning resources, implementation patterns, and blueprints to build intelligent systems using AWS services and open-source frameworks.

## Site Pages

- [Home](https://aws-samples.github.io/sample-agentic-ai-central/): Main landing page with overview and recent content
- [Discover](https://aws-samples.github.io/sample-agentic-ai-central/discover): Getting started guides, design patterns, and reference architectures
- [Learn](https://aws-samples.github.io/sample-agentic-ai-central/learn): Curated blogs, videos, and workshops
- [Build](https://aws-samples.github.io/sample-agentic-ai-central/build): Production-ready blueprints and code repositories

## Discover Section

0 resources to understand agentic AI concepts and get started with AWS services.

### Getting Started (0 guides)

- [Getting Started Guides](https://aws-samples.github.io/sample-agentic-ai-central/discover?type=getting-started): Service-agnostic guides for AWS agentic AI services
- Topics: Introduction to AI Agents, Amazon Bedrock Agents, Amazon Bedrock AgentCore, Multi-agent systems, Tool use and function calling

### Design Patterns (0 patterns)

- [Design Patterns](https://aws-samples.github.io/sample-agentic-ai-central/discover?type=design-patterns): Foundational patterns for building agentic AI applications
- Topics: ReAct (Reasoning + Acting), Chain of Thought prompting, Tool augmented generation, Multi-agent orchestration, Human-in-the-loop patterns, Memory and context management

### Reference Architectures (0 architectures)

- [Reference Architectures](https://aws-samples.github.io/sample-agentic-ai-central/discover?type=reference-architectures): Production-ready architectural designs
- Amazon Bedrock AgentCore: Multi-agent orchestration, RAG-enabled agents, Code interpreter integrations, Memory-augmented agents
- Amazon Bedrock: Conversational agents with knowledge bases, Streaming response agents, Guardrails integration, Action group implementations

## Learn Section

0 curated educational resources.

### Blogs (0 posts)

- [Blog Posts](https://aws-samples.github.io/sample-agentic-ai-central/learn?type=blogs): AWS blog posts on agentic AI
- Topics: Implementation tutorials, Best practices, Case studies, Feature announcements, Architecture deep-dives

### Videos (0 videos)

- [Videos](https://aws-samples.github.io/sample-agentic-ai-central/learn?type=videos): YouTube tutorials and presentations
- Topics: AWS re:Invent sessions, Tutorial walkthroughs, Demo videos, Expert interviews

### Workshops (0 workshops)

- [Workshops](https://aws-samples.github.io/sample-agentic-ai-central/learn?type=workshops): Hands-on AWS workshops
- Topics: Building your first agent, Advanced agent patterns, Production deployment, Monitoring and observability

## Build Section

0 resources for hands-on implementation.

### Blueprints (0 blueprints)

- [Blueprints](https://aws-samples.github.io/sample-agentic-ai-central/build?type=blueprints): Step-by-step implementation guides
- Includes: Architecture diagrams, Code samples, Deployment instructions, Best practices

### Repositories (0 repositories)

- [Repositories](https://aws-samples.github.io/sample-agentic-ai-central/build?type=repositories): GitHub code samples
- Includes: Reference implementations, Sample applications, CDK/CloudFormation templates, SDK examples

## AWS Services

### Amazon Bedrock
Fully managed service for building generative AI applications with foundation models.
- Access to leading foundation models (Claude, Llama, Titan, etc.)
- Agents for autonomous task completion
- Knowledge Bases for RAG
- Guardrails for responsible AI
- Model evaluation and fine-tuning
- Documentation: https://docs.aws.amazon.com/bedrock/

### Amazon Bedrock AgentCore
Managed infrastructure for deploying and scaling AI agents.
- AgentCore Runtime: Serverless agent deployment
- AgentCore Memory: Persistent knowledge storage
- AgentCore Code Interpreter: Secure code execution
- AgentCore Browser: Web interaction capabilities
- AgentCore Gateway: API-to-tool transformation
- AgentCore Identity: Authentication management

### Amazon SageMaker
Machine learning platform for building, training, and deploying models.
- Model hosting and inference
- Custom model training
- MLOps pipelines

### AWS Lambda
Serverless compute for agent actions and integrations.
- Event-driven execution
- API integrations
- Data processing

### Amazon EKS
Kubernetes service for containerized agent workloads.
- Scalable deployments
- Multi-agent orchestration
- GPU workloads

## Supported Frameworks

### Strands Agents
AWS open-source framework for building AI agents.
- Model-driven agent architecture
- Built-in tool support
- MCP integration
- Multi-agent patterns
- GitHub: https://github.com/strands-agents/sdk-python

### LangChain
Popular framework for LLM application development.
- Chain composition
- Agent toolkits
- Memory management
- Retrieval integration

### LangGraph
Graph-based framework for complex agent workflows.
- State machines
- Conditional routing
- Human-in-the-loop
- Persistence

### LlamaIndex
Data framework for LLM applications.
- Data connectors
- Index structures
- Query engines
- RAG pipelines

### CrewAI
Framework for orchestrating role-playing AI agents.
- Agent roles and goals
- Task delegation
- Collaborative workflows

## Optional

Additional external learning resources for agentic AI:

- [Agentic AI Patterns (AWS Prescriptive Guidance)](https://docs.aws.amazon.com/prescriptive-guidance/latest/agentic-ai-patterns/introduction.html): Comprehensive patterns guide from AWS
- [GenAI Atlas (AWS Labs)](https://awslabs.github.io/generative-ai-atlas/index.html): Visual guide to generative AI on AWS
- [Serverless Land](https://serverlessland.com/): Serverless patterns and resources from AWS
- [AWS Community - Agentic AI](https://builder.aws.com/learn/topics/agentic-ai): Community discussions and resources

## Links

- [Website](https://aws-samples.github.io/sample-agentic-ai-central/): Main site
- [GitHub Repository](https://github.com/aws-samples/sample-agentic-ai-central): Source code for this site
- [Content Repository](https://github.com/aws-samples/sample-agentic-ai-central-content): Community contributions
- [Summary llms.txt](https://aws-samples.github.io/sample-agentic-ai-central/llms.txt): Concise version of this file

## About

This site is owned by Amazon Bedrock GTM Specialist Solutions Architects in AWS. The content is supported by contributions from all the AWS community including customers and AWS technical roles.

Inspired by [AWS Serverless Land](https://serverlessland.com/).

*Last updated: 2026-04-03*