Your agents can now discover and load Agent Skills directly from a Model Context Protocol (MCP) server. Instead of shipping every skill inside your application or copying skill folders into each deployment, you point an agent at an MCP server and it pulls the skills it needs on demand. A central team can publish skills […] The post Discover Agent…
#microsoft agent framework
5 posts
Today
15 Jul
Your Python agents can now pick up reusable bundles of domain expertise (instructions, reference material, and scripts that load only when a task calls for them) through a stable, production-ready API. Agent Skills for Python in Microsoft Agent Framework is stable and shipping: the core skills API has no experimental gate, so you can rely […] The post Agent Skills…
7 Jul
You can now give your .NET agents reusable packages of domain expertise – instructions, reference documents, and scripts they load only when a task needs them – through a stable, production-ready API. Agent Skills for .NET in Microsoft Agent Framework has moved out of experimental preview – the [Experimental] attribute is removed and the API […] The post Agent Skills…
4 May
Build intelligent AI agents in .NET with the Microsoft Agent Framework. Learn how to create agents with tools, multi-turn conversations, memory, and graph-based workflows that bring together the building blocks from Parts 1 and 2. The post Microsoft Agent Framework – Building Blocks for AI Part 3 appeared first on .NET Blog.
24 Apr
When people talk about building AI agents, they usually focus on models, tools, and prompts. In practice, one of the most important architectural decisions is much simpler: where does the conversation history live? Imagine a user asks your agent a complex question, clicks “try again,” explores two different answers in parallel, and then comes back […] The post Chat History…