Mar 6 • General discussion
BASIC STRUCTURE OF AI AGENTS
AI agents can seem complicated, but the core structure is actually simple once you break it down.
In this Loom video, I explain the basic architecture of an AI agent using a simple diagram so it’s easier to understand how everything connects.
An AI agent mainly consists of five key components:
1. LLM (Large Language Model)
This is the brain of the agent. It processes different types of inputs like text, images, video, and audio to generate responses.
2. Instructions
Instructions guide the behavior of the agent. They define how the agent should respond to users and help reduce hallucinations.
3. Tools
Tools allow agents to perform real actions such as interacting with external platforms, sending data, or connecting with services like CRMs and cloud apps. Without tools, agents can only generate responses but cannot execute tasks.
4. Memory
Memory helps the agent remember previous interactions and context, making conversations more natural and useful.
5. Knowledge Base
This contains the information the agent should know, such as business documents, PDFs, or internal data.
All of these components connect together through APIs to create a fully functional AI agent capable of automation and intelligent responses.
In the Loom video, I walk through the diagram step by step to make the concept easier to understand.
Would love to hear your thoughts or how you’re structuring your AI agents.
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BASIC STRUCTURE OF AI AGENTS
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