AI Agents: The New Era of Intelligent Software
summary
Overview of AI agents that move software from passive Q&A to autonomous, proactive systems by adding memory, planning, action and reasoning. Shows real-world applications (smart assistants, task automation) and concrete implementation details using Semantic Kernel, orchestration techniques, and emerging protocols MCP and A2A for connecting agents.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 3:54What are AI agents?
- 8:11Demo: Basic agent with Semantic Kernel
- 11:36Plugins and functions in Semantic Kernel
- 16:30Orchestrating multiple agents
- 22:07Agent selection and termination
- 28:31Integration with MCP Servers
- 36:01Q&A








