My Journey Discovering AI Agents”

Source: Dev.to

Introduction

I started learning about AI agents recently and wanted to share my experience. Initially, I thought an AI agent was just an AI application like ChatGPT, Gemini, or any other generative AI.

However, an AI agent is a software system that uses Artificial Intelligence—typically Large Language Models—to achieve a specific goal on behalf of the user. Most agents are built to solve complex problems autonomously, handling repetitive tasks that would otherwise cause burnout in the workplace.

Realizing this, I saw how daily activities could benefit from such systems. For example, a revision system could provide study material, challenge me on recent learning, and rate my understanding of the subject.

Components of an AI Agent

• Model – The “Intelligence”: everything the agent knows, its logic, reasoning, and knowledge base.
• Tools – The “Hands”: APIs, web search, calculators, or other interfaces that let the agent act in the world.
• Memory – The “Context”: short‑term and long‑term storage of past interactions, used as reference for future actions.

The Model

The “Brain” of the agent. It contains the logic, reasoning, and knowledge base that drive decision‑making.

The Tools

The “Hands” of the agent. These are the external resources—such as APIs, web search, or calculators—that enable the agent to interact with its surroundings and perform tasks.

The Memory

The “Context” that stores information while the agent is running. It provides short‑term and long‑term references based on user interactions.

Conclusion

An agent can be fully optimized by working with other sub‑agents, a process known as orchestration. This allows multiple specialized agents to collaborate and achieve more complex goals. (Sounds confusing? Don’t worry—we’ll explore orchestration in more detail later.)