Architecture Overview

Understanding Agent Kernel's architecture helps you build robust, scalable AI agent systems.

High-Level Architecture

Key Design Principles

1. Framework Agnostic

Agent Kernel provides a thin adapter layer that doesn't impose its own opinions on agent logic.

2. Minimal Overhead

The framework adds minimal latency and complexity - it's primarily orchestration and state management.

3. Production Ready

Built-in support for:

• Session persistence
• Multi-agent coordination
• Distributed deployment
• Error handling and retry
• Observability and tracing

4. Extensible

Easy to add:

• New framework adapters
• Custom storage backends
• Additional execution modes
• Custom middleware

Component Interactions

Next Steps

• Execution Flow
• Session Management
• Memory Management