Pick the right layer for the job.

Choosing the right AI agent stack layer depends on your specific needs—whether you need execution capabilities, memory management, approval workflows, scheduling, dashboards, or a command layer. Different layers serve different purposes in an agent architecture, and selecting the appropriate one ensures efficient agent design and functionality.

Key Points

• •Identify your primary requirement: execution, memory, approvals, scheduling, dashboards, or command layer
• •Execution layer handles the actual agent actions and task completion
• •Memory layer manages context, history, and state persistence for agents
• •Approval layer implements human-in-the-loop workflows and decision gates
• •Scheduling layer enables time-based triggers and recurring agent tasks
• •Dashboard layer provides monitoring, visibility, and agent performance metrics
• •Command layer acts as the interface for user input and agent directives
• •Stack architecture should be modular to support multiple layers simultaneously
• •Match layer selection to your use case complexity and operational requirements
• •Consider scalability and integration needs when choosing between layers

Workflow Diagram

Concepts