Microsoft Agent Framework (Semantic Kernel + AutoGen)

The Microsoft Agent Framework combines Semantic Kernel and AutoGen to enable code-first agent development. This framework provides developers with tools to build intelligent agents that can orchestrate complex tasks, leverage multiple AI models, and integrate with external systems. The approach emphasizes programmatic control and flexibility for enterprise-grade agent applications.

Key Points

• •Semantic Kernel provides a unified abstraction layer for working with multiple LLM providers and plugins
• •AutoGen enables multi-agent collaboration with built-in conversation management and task orchestration
• •Code-first approach allows developers to define agent behavior, skills, and interactions programmatically
• •Agents can be composed with different roles (e.g., user, assistant, critic) for complex workflows
• •Integration with external tools and APIs through plugin architecture extends agent capabilities
• •Framework supports both synchronous and asynchronous agent interactions
• •Built-in memory and context management enables agents to maintain state across conversations
• •Enterprise-ready with support for logging, monitoring, and error handling patterns

Workflow Diagram

Concepts