Semantic Kernel: An Overview of the Agent Architecture
Semantic Kernel: An Overview of the Agent Architecture Semantic Kernel facilitates multi-agent architectures by providing a framework to build, manage, and orchestrate multiple AI agents working collaboratively to achieve complex tasks. This architecture leverages the strengths of individual agents, each potentially specialized in a particular domain or skill, and coordinates their interactions to solve problems that a single agent might struggle with. Here's a breakdown of the Semantic Kernel multi-agent architecture: 1. Agents: Individual Units: Each agent is an independent entity within the system, potentially equipped with specific tools, plugins, memory, and planning capabilities. Specialization: Agents can be designed for specific roles, such as a "web search agent," a "data analysis agent," or a "summarization agent." 2. Orchestration Framework: Coordination Layer: Semantic Kernel provides a framework for orchestrating these individual a...