Browsing: Runtime

In the development of autonomous agents, the technical bottleneck is shifting from model reasoning to the execution environment. While Large Language Models (LLMs) can generate code…

This post is a collaboration between AWS and Pipecat. Deploying intelligent voice agents that maintain natural, human-like conversations requires streaming to users where they are, across…

The deployment of autonomous AI agents—systems capable of using tools and executing code—presents a unique security challenge. While standard LLM applications are restricted to text-based interactions,…

Most LLM agents work well for short tool-calling loops but start to break down when the task becomes multi-step, stateful, and artifact-heavy. LangChain’s Deep Agents is…

In this tutorial, we build a complete cognitive blueprint and runtime agent framework. We define structured blueprints for identity, goals, planning, memory, validation, and tool access,…

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system…

GitHub has opened up the internal agent runtime that powers GitHub Copilot CLI and exposed it as a programmable SDK. The GitHub Copilot-SDK, now in technical…

In this tutorial, we build an advanced red-team evaluation harness using Strands Agents to stress-test a tool-using AI system against prompt-injection and tool-misuse attacks. We treat…

We recently announced the support for Agent-to-Agent (A2A) protocol on Amazon Bedrock AgentCore Runtime. With this addition, agents can discover peers, share capabilities, and coordinate actions…

Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective agents securely at scale. Amazon Bedrock AgentCore Runtime is a fully managed service…