AI 에이전트 vs 챗봇: 차이점은?

Chatbots follow predefined scripts or respond to queries in a conversation. AI agents go further — they can autonomously execute multi-step tasks, use external tools and APIs, remember context across sessions, collaborate with other agents, and make decisions. A chatbot answers questions; an AI agent completes projects.

Use a chatbot for simple, repetitive customer interactions like FAQs, order status checks, and basic support routing. Use an AI agent when you need autonomous task completion — research, content creation, data analysis, multi-step workflows, or tasks that require memory and context from previous interactions.

AI agents can do everything a chatbot does and much more, but they're not always a replacement. For simple, high-volume interactions (like answering 'what are your business hours?'), a basic chatbot is faster and cheaper. AI agents excel when tasks require reasoning, memory, tool usage, or multi-step execution.

Examples include: marketing agents that research competitors, write content, and schedule posts; sales agents that qualify leads and draft proposals; support agents that diagnose issues, access knowledge bases, and escalate when needed; analytics agents that pull data, generate reports, and surface insights — all working autonomously or collaboratively.

Not all AI agents have memory, but memory significantly improves their value for business use. An agent with persistent memory remembers your business context, customer preferences, and previous interactions — making it more accurate and useful over time. Platforms like AI4U.now specifically provide persistent memory as a core feature.