Microsoft ships Agent Framework 1.0 but Azure's agent stack still spans too many surfaces while Google and AWS offer cleaner developer paths.

Microsoft has released version 1.0 of its open-source Agent Framework, positioning it as the production-ready evolution of the project introduced in October 2025 by combining Semantic Kernel ...

In addition to rolling out patches to address two zero-days affecting SQL Server and .NET, Microsoft introduced Common Log File System hardening with signature verification. The team at Readiness each ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

Abstract: Semantic mapping aims to construct a 3D semantic representation of the environment, providing essential knowledge for robots operating in complex outdoor settings. While Bayesian Kernel ...

According to Satya Nadella, Microsoft introduced the Microsoft Agent Framework that enables builders to build, orchestrate, and scale multi-agent systems directly in Azure AI Foundry, highlighting ...

Abstract: Deepfake creation relies on advanced deep learning models enabling hyper-realistic synthetic media with applications in industrial and social semantic communication. However, these ...

In this tutorial, we walk you through the seamless integration of AutoGen and Semantic Kernel with Google’s Gemini Flash model. We begin by setting up our GeminiWrapper and SemanticKernelGeminiPlugin ...

There is a responses agent in semantic_kernel.agents but I not an equivalent to AzureChatCompletion in semantic_kernel.connectors.ai.open_ai. This means I can't create a service for the Kernel, so are ...

Following the example here, https://github.com/microsoft/semantic-kernel/blob/main/python/samples/getting_started_with_agents/multi_agent_orchestration/step4_handoff ...