AWS Open Source Blog
Category: Generative AI
Open Protocols for Agent Interoperability Part 4: Inter-Agent Communication on A2A
Welcome to Part 4 of our blog series on Open Protocols for Agent Interoperability where we will cover the Agent-to-Agent (A2A) protocol, AWS’ involvement with the Linux Foundation-based open standard, and our support of A2A in the Strands Agents SDK. Here is what we’ve covered so far: Part 1: How the Model Context Protocol (MCP) […]
Open Protocols for Agent Interoperability Part 2: Authentication on MCP
In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how the Model Context Protocol (MCP) can be used to facilitate inter-agent communication and the MCP specification enhancements AWS is working on to enable that. In Part 2 of this blog series we dive deep into authentication in the latest […]
Open Protocols for Agent Interoperability Part 1: Inter-Agent Communication on MCP
At AWS, open standards run deep in our DNA, driving all that we do. That’s why we decided to build Amazon Elastic Cloud Compute (EC2) as a protocol-agnostic cloud computing service and Amazon SageMaker as a framework-agnostic deep learning service. Our commitment to openness continues as we enter the agentic AI era, extending to inter-agent […]
Introducing Strands Agents, an Open Source AI Agents SDK
Today I am happy to announce we are releasing Strands Agents. Strands Agents is an open source SDK that takes a model-driven approach to building and running AI agents in just a few lines of code. Strands scales from simple to complex agent use cases, and from local development to deployment in production. Multiple teams […]