AI agents can perform tasks, interact with tools, and generate responses based on user instructions. However, agents need access to relevant previous information to maintain context across multiple interactions.

Memory systems help AI agents store, retrieve, and manage information during and across tasks. They are useful for building personalized assistants …

## Introduction

Chatbots and AI agents are both becoming common in modern applications, but they are not the same.

A chatbot is primarily designed to communicate with users and provide responses, while an AI agent is designed to understand a goal, make decisions, use tools, and take actions to accomplish that …

## Introduction

AI agents are moving beyond simply generating text. Modern AI agents can interact with external systems, retrieve information, call APIs, query databases, execute functions, send messages, and perform actions on behalf of users.

This capability is commonly enabled through tool calling or function calling.

For example, an AI travel …

## Introduction

Large Language Models (LLMs) have changed the way applications interact with artificial intelligence. From chatbots and coding assistants to document analysis and AI agents, much of their performance depends on how information is provided to the model.

This has led to two important approaches in AI application development: Prompt …