---
title: Introduction to AI agents
slug: introduction-to-ai-agents
description: Discover what AI agents are and how they work
image: https://archbee-image-uploads.s3.amazonaws.com/oAyFj2GHlBeBVWF5OAir2/3JLgI-GxJFRGlzNl4uYnj_9.png
docTags: 
createdAt: 2025-06-23T14:53:24.511Z
---

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This page reflects a **previous version of Make AI Agents**. For the latest information, see [Make AI Agent (New)](docId\:rXryASA6852hvhkZ6NhXU). 
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:::hint{type="info"}
The **Make AI Agents **app is available on** all plans** using **Make's AI Provider**, with the option to use **custom AI provider connections** on **paid plans**. The app is available in **open beta**, so both product functionality and pricing may change. 
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An AI agent is an autonomous system that acts to achieve its goals while following certain rules. Think of it like a skilled assistant who performs tasks for you after understanding what you want to do. 

Make AI agents consist of a few fundamental components that can be thought of as a brain (LLM), instructions (system prompt), memory (context), tools (modules, scenarios and MCP tools), and thinking process (reasoning):

- A **Large Language Model (LLM) **acts as the agent's brain, powering its reasoning for decision-making.
- The **system prompt **instructs the agent on how to behave. Like a job description, it defines its role, limitations, and processes.
- **Context**, or files stored in the agent's long-term memory, provides extra information that helps the agent tailor its responses to your needs. For example, an internal knowledge base or company policies. 
- **Tools **provide the agent with the capabilities to achieve its goals. In Make, those can include modules, scenarios , and MCP tools. 
- **Reasoning **is the agent's thought process when approaching its tasks. When you use a reasoning model in an agent, [reasoning ](docId\:MDyjgeEIIRrXMd607V1xg)is visible when the agent believes that deeper reasoning is required.

In the next section, you will explore these concepts in more detail.