AI Agent Stack

An AI agent stack is a software architecture that enables artificial intelligence systems to reason, plan, use tools, maintain memory, and execute tasks autonomously or with human oversight. These architectures support autonomous assistants, workflow automation, coding agents, research systems, operational copilots, and multi-agent environments.

Typical Architecture

A common AI agent architecture looks like this:

User or Trigger
        ↓
Agent Interface
        ↓
Agent Orchestration
        ↓
Reasoning + Planning
        ↓
Tool Execution + Memory
        ↓
External Systems

Simple Architecture

A minimal AI agent stack may include:

Chat Interface
Reasoning Model
Basic Tool Calls
Conversation Memory
Application Hosting

Production Architecture

A larger production deployment may include:

Agent Interface
Agent Orchestration
Planning Systems
Reasoning Models
Persistent Memory
Retrieval Systems
Tool Execution
Workflow Automation
Multi-Agent Coordination
Human Approval Workflows
Safety and Policy Enforcement
Queue Infrastructure
Observability Platforms
Analytics Pipelines
Operational Audit Logging