AWS Agent Squad
AWS has entered the OSS multi-agent orchestration arena with Agent Squad, a framework designed to intelligently route tasks to the best-fit agents while keeping full conversation context. In this deep dive, we’ll break down its architecture—from classification to agent selection, routing, and response delivery—plus explore how it seamlessly integrates with AWS tools like Bedrock, Lambda, and Lex alongside APIs, local processes, and more. We’ll compare Agent Squad head-to-head with LangChain, OpenAI Agents SDK, AutoGen, LlamaIndex, CrewAI, PydanticAI, smolagent, and other top frameworks, asking the big question: why choose Agent Squad? Joining us are AWS’s Milan McGraw and Aravind Subramanian to reveal where AWS’s OSS approach shines, especially in a cloud-provider-focused future for agent frameworks.
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Speakers:
Dr. Greg, Co-Founder & CEO @ AI Makerspace
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The Wiz, Co-Founder & CTO @ AI Makerspace
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00:00 Intro & AWS Agent Squad Overview
04:34 Core Patterns: Classifier & Supervisor
13:00 Deep Dive: Example Architecture & Agent Flow
18:00 Comparing Agent Card Concepts & Classifier Roles
23:23 Supervisor Agent & Hierarchical Coordination
31:02 Multi-Agent Research: Deep vs. Wide Patterns
40:50 Demo Walkthrough: IAM, Quickstart, & Supervisor Example
54:02 Q&A, Conclusions & What’s Next