We’re excited to announce the release of Microsoft.Extensions.VectorData.Abstractions, a foundational library providing exchange types and abstractions for vector stores when working with vector data in AI-powered applications. This release is the result of a close collaboration between the Semantic Kernel and .NET teams, combining expertise in AI ...

Semantic Kernel: Package Previews, Graduations & Deprecations We are excited to share a summary of recent updates and continuous clean-up efforts across the Semantic Kernel .NET codebase. These changes focus on improving maintainability, aligning with the latest APIs, and ensuring a consistent experience for users. Below you’ll find details on...

We’re excited to announce the release candidate of the Semantic Kernel for Java Agents API! This marks a major step forward in bringing the power of intelligent agents to Java developers, enabling them to build rich, contextual, and interactive AI experiences using the Semantic Kernel framework. What Are Agents in Semantic Kernel? Agents are inte...

Today we're excited to welcome Jarre Nejatyab as a guest blog to highlight a technical deep dive on orchestrating AI Agents with Semantic Kernel Plugins. In the rapidly evolving world of Large Language Models (LLMs), orchestrating specialized AI agents has become crucial for building sophisticated cognitive architectures capable of complex reasoni...

Today we're excited to welcome Jonathan David, as a guest author on the Semantic Kernel blog. We'll turn it over to Jonathan to dive into Letting AI Help Make the World More Accessible - Analyzing Website Accessibility with Semantic Kernel and OmniParser.   With the European Accessibility Act and Germany's Barrierefreiheitsstärkungsgesetz (w...

Today we’re excited to welcome Vic Perdana, as a guest author on the Semantic Kernel blog today to cover his work on a SemantiClip: A Practical Guide to Building Your Own AI Agent with Semantic Kernel. We’ll turn it over to Vic to dive in further. Everywhere you look lately, the buzz is about AI agents. But cutting through the noise—what doe...

Introduction In October 2024 Microsoft replaced a legacy rule‑based chat bot on Microsoft Store with Microsoft Store Assistant, powered by Azure Open AI, Semantic Kernel, and real‑time page context. The transformation changed a scripted, button-driven experience into a conversation that comprehends the entire public Microsoft portfolio, includin...

Today we're excited to feature a returning guest author, Akshay Kokane to share his recent Medium article on Building an AI App That Can Browse the Internet Using Microsoft’s Playwright MCP Server & Semantic Kernel. We’ll turn it over to him to dive in! MCP! It’s the new buzzword in the AI world. So, I thought — why not be a part of this buz...

Google's Agent-to-Agent (A2A) protocol is designed to enable seamless interoperability among diverse AI agents. Microsoft’s Semantic Kernel (SK), an open-source platform for orchestrating intelligent agent interactions, is now being integrated into the A2A ecosystem. In this blog, we demonstrate how Semantic Kernel agents can easily function as an ...

We are excited to announce that Semantic Kernel (SK) now has first-class support for the Model Context Protocol (MCP) — a standard created by Anthropic to enable models, tools, and agents to share context and capabilities seamlessly. With this release, SK can act as both an MCP host (client) and an MCP server, and you can leverage these capabili...