Code Presents Sk Agents
This repository contains the code samples and practical implementations from the "CODE Presents" webinar "Building Intelligent Multi-Agent Systems with Microsoft's Semantic Kernel." The session demonstrates how to orchestrate collaborative AI agents in .NET, featuring persistent vector memory and MC
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Documentation
AI Agents in Semantic Kernel β Webinar Code
Instructor: Philipp Bauer, Senior Software Architect at CODE Consulting
Webinar Date: December 10, 2025
Overview
This repository contains the code samples and practical implementations from the webinar "Building Intelligent Multi-Agent Systems with Microsoft's Semantic Kernel." The session demonstrates how to orchestrate collaborative AI agents in .NET, featuring persistent vector memory and MCP tool integration.
Target Audience:
- C#/.NET developers
- AI engineers interested in agent orchestration
- Anyone looking to build production-ready multi-agent systems with Semantic Kernel
Key Topics Covered
- Multi-agent orchestration patterns in .NET
- Integrating persistent vector memory for contextual AI
- Using MCP tools for agent collaboration
- Practical, production-focused code examples
Repository Structure
Agents/β C# agent implementations (AccountAgent, CategoryAgent, etc.)actual-budget-mcp/β MCP tool integration (TypeScript/Node.js)ChatModes/β Chat orchestration modes and logicConfiguration/β App configuration filesHelpers/β Utility and formatting helpersModels/β Data models for agents and chatPlugins/β Example plugin integrationsProgram.csβ Main entry point for the .NET application
Getting Started
-
.NET Solution:
- Open
CODE.Presents.SemanticKernel.slnin Visual Studio or VS Code. - Restore NuGet packages and build the solution.
- Run
Program.csto start the agent system.
- Open
-
MCP Tools (Node.js):
- Navigate to
actual-budget-mcp/. - Run
npm installto install dependencies. - Use the scripts in
src/tools/for MCP integration.
- Navigate to
Prerequisites
Learning Outcomes
- Build and orchestrate multiple AI agents in C#
- Integrate vector memory for persistent context
- Connect agents to external tools (MCP) for real-world workflows
- Apply best practices for scalable, production-ready agent systems
More Resources
For questions or feedback, please contact Philipp Bauer via CODE Consulting.
