This guide from AWS provides a comprehensive overview of Agentic AI Frameworks, Protocols, and Tools for building intelligent, autonomous systems on AWS.
It examines various AI frameworks, such as Strands Agents, LangChain, CrewAI, Amazon Bedrock Agents, and AutoGen, detailing their features, ideal use cases, and implementation approaches.
The podcast highlights the importance of standardised communication protocols, particularly the Model Context Protocol (MCP), for enabling seamless agent-to-agent interoperability and robust tool integration. Finally, it discusses different tool categories including protocol-based, framework-native, and meta-tools, offering strategic advice and security best practices for their implementation within agentic AI architectures.
