Agentic AI frameworks, protocols, and tools on AWS - AWS Prescriptive Guidance
Intended audienceObjectivesAbout this content series

Agentic AI frameworks, protocols, and tools on AWS

Aaron Sempf and Joshua Samuel, Amazon Web Services (AWS)

July 2025 (document history)

Agentic AI is a powerful paradigm at the intersection of AI, distributed systems, and software engineering. It's a class of intelligent systems that's composed of autonomous, asynchronous software agents. The agents exhibit agency, can perceive context, reason over goals, make decisions, and take purposeful actions on behalf of users or systems. These agents operate independently, often collaboratively, within distributed environments and are designed to pursue delegated objectives with embedded intelligence, memory, and intent.

On AWS, organizations can leverage agentic AI to automate complex workflows, enhance decision-making processes, and create more responsive systems. This guide provides information about key components that are necessary to build effective agentic AI solutions:

  • Agentic AI frameworks profiles current agentic AI frameworks, including reviews of their benefits and use cases. Learn how these frameworks reduce undifferentiated heavy lifting across patterns, protocols, and tools. Understand key selection criteria to choose the right framework for your requirements.

  • Agentic protocols explores essential standardized communication protocols for agent interactions. Agent-to-agent protocols are emerging, such as the open source Model Context Protocol (MCP) and Agent2Agent (A2A), along with other proprietary implementations. Discover how common protocols enable different protocols to interact seamlessly.

  • Tools provides information about protocol-based tools (such as the MCP), framework-native tools, and meta-tools. Organizations can build a toolkit that integrates with the key systems in their workflows, enabling both end-user and server-based agentic workflows.

Intended audience

This guide is for architects, developers, and technology leaders seeking to harness the power of AI-driven software agents within modern cloud-native applications.

Objectives

This guide helps you do the following:

  • Compare different agentic AI frameworks to select the most appropriate one for your use case.

  • Understand the advantages of open protocols for building sustainable agentic AI architectures.

  • Create an appropriate tool integration strategy when building agent systems.

About this content series

This guide is part of a set of publications that provide architectural blueprints and technical guidance for building AI-driven software agents on AWS. The AWS Prescriptive Guidance series includes the following:

For more information about this content series, see Agentic AI.