AI agent Defination
AI agent Architecture
Component of AI Agent
Tools
Memory
Planning
Action
AI agent Defination
Defination1:An AI agent is a software program that can interact with its environment, gather data, and use that data to achieve predetermined goals. AI agents can choose the best actions to perform to meet those goals
An AI agent is a software or system designed to act autonomously within a defined environment, using artificial intelligence to analyze data, make decisions, and perform tasks with minimal human intervention.
Defination2:
AI agents are like really smart assistants. You just tell them what you need and they figure out how to get it done!!
The LLM acts as the brain of the system. When an AI has to communicate with the outside world, obtain data, or carry out particular tasks, it can utilize tools, which are external resources or APIs.
They can plan, make decisions and even get better over time. Think of it as a digital entity that can observe, think and act, much like how humans interact with their surroundings, but in a programmed and purposeful manner
Defination3:
An AI agent refers to a system or application designed to complete specific tasks based on predefined goals, utilizing learning algorithms and adaptive techniques to improve its performance as it gains more experience and data.
Defination4:
An AI agent is a machine-based entity that interacts with its environment, processes information, and uses built-in intelligence to carry out specific functions or tasks, mimicking cognitive processes like learning, reasoning, and decision-making
AI agent Architecture
detail diagram
To understand how AI agents perceive their environment and reason, it's helpful to break down their working principles into key components: tools, memory, planning, and action. Each plays a distinct role in creating intelligent, goal-oriented behavior. Let’s explain each with examples relevant to modern AI agents (like those based on large language models).
Component of AI Agent(4 component)
Tools
Definition:
Tools are external systems or APIs that the agent can access to perform specific functions, such as searching the web, running calculations, or querying databases.
Example:
An AI personal assistant can use a calendar API to schedule meetings, a weather API to answer weather questions, or a document retrieval tool to pull up relevant files for the user.
Memory
Definition:
Memory refers to the agent’s ability to store information about its interactions, tasks, and environment over time, enabling context awareness and learning.
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Types:
Short-term memory: Keeps recent conversation history or temporary context.
Long-term memory: Stores facts, user preferences, or outcomes from past tasks.
Example:
A customer support AI records recent customer queries (short-term) to maintain conversation flow and recalls previous support tickets (long-term) to provide personalized responses.
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Planning
Planning is how the agent breaks complex objectives into smaller, actionable steps, reasoning about the sequence and dependencies needed to achieve a goal.
Example:
If a user says, “Book me a flight and reserve a hotel in Paris,” the agent needs to:
Identify the goal (travel arrangement)
Decide the order (find flight, then look for hotel)
Check constraints (dates, user preferences)
Adapt if something fails (no flights available)
In this way, planning allows the agent to reason about the best path to reach the desired outcome.
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Action
Definition:
Action means executing tasks—either by sending commands to tools, querying data, or generating responses—based on its reasoning and planning steps.
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Example:
After planning travel, the agent calls the airline’s booking system (an action with a tool), saves the booking information in memory, and follows up with hotel reservations
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