Agent Architecture

Understanding how agents are structured is crucial to building effective agentic systems.

Core Components

1. Planning Module

The planning module breaks down high-level goals into actionable steps. It uses techniques like:

• Chain-of-thought reasoning
• Tree-of-thought exploration
• Hierarchical task decomposition

2. Memory System

Agents need memory to maintain context and learn from experience:

• Short-term memory: Current conversation and task context
• Long-term memory: Persistent knowledge and past experiences
• Vector databases: Semantic search over historical data

3. Tool Interface

The bridge between the agent and the external world:

• Function calling capabilities
• API integrations
• Database access
• File system operations

4. Execution Engine

Orchestrates the agent's actions:

• Executes planned steps
• Handles errors and retries
• Manages state transitions
• Provides feedback loops

Putting It Together

These components work in concert: the planning module decides what to do, memory provides context, tools enable action, and the execution engine makes it happen.