• AWS Open Source Blog Building intelligent physical AI: From edge to cloud with Strands Agents, Bedrock AgentCore, Claude 4.5, NVIDIA GR00T, and Hugging Face LeRobot Agentic AI systems are rapidly expanding beyond the digital world and into the physical, where AI agents perceive, reason, and act in real environments. • As AI systems increasingly interact with the physical world through robotics, autonomous vehicles, and smart infrastructure, a fundamental question emerges: how do we build agents that leverage massive cloud compute for complex reasoning while maintaining millisecond-level responsiveness for physical sensing and actuation? • This year has been transformative for agentic AI at AWS. • We launched Strands Agents in May 2025, bringing a simple developer experience and model-driven approach to agent development. • In July, we released version 1.0 with multi-agent orchestration capabilities and introduced Amazon Bedrock AgentCore to accelerate AI agents to production at scale. • At re:Invent 2025, we expanded Strands with the TypeScript SDK, evaluations, bidirectional streaming for voice agents, and steering for guiding agents within boundaries.
Article Summaries:
- AWS announced a new framework for building agentic AI that bridges edge and cloud computing. The company introduced Strands Agents in May 2025, adding multi‑agent orchestration and a TypeScript SDK by re:Invent 2025, and released Bedrock AgentCore to scale production deployments. Demonstrations show the Strands interface controlling a 3‑D‑printed robotic arm with NVIDIA’s GR00T vision‑language‑action model and a Boston Dynamics Spot quadruped, both running on NVIDIA Jetson edge devices. The blog explains how edge inference handles millisecond‑level responsiveness while cloud services-such as Anthropic’s Claude 4.5 and AgentCore memory-provide complex reasoning, long‑horizon planning, and continual learning.
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