---
title: "AI Agent vs. Chatbot: the difference explained simply"
description: "Chatbot or AI agent? The difference in one sentence, the five features compared, and when which tool fits in your company."
type: "wissen"
product: "agent"
slug: "ki-agent-vs-chatbot"
source_language: "de"
target_languages: ["de", "en", "es", "pl", "tr"]
published: "2026-06-10"
status: "publish"
faq_json: [{"q":"What is the difference between an AI agent and a chatbot?","a":"A chatbot responds, an AI agent acts: the chatbot delivers an answer per request, the agent pursues a goal across multiple steps, uses tools and data, and completes tasks."}, {"q":"Does a chatbot have a memory?","a":"Usually only within a session. An AI agent remembers context and rules permanently and doesn't need to be briefed anew in every conversation."}, {"q":"When is a chatbot enough?","a":"When it's purely about information: answering questions, drafting texts, explaining knowledge. As soon as something is to be done – creating tasks, checking documents, running processes – you need an agent."}, {"q":"Is an AI agent riskier than a chatbot?","a":"It can do more, which is why it needs clear boundaries: the approval principle has proven effective, where actions with external impact go through a human's approval."}, {"q":"Can a tool be both?","a":"Yes: modern assistants combine a chat interface with agent capabilities – you talk in dialogue, but the system can work with your data and carry out tasks."}]
language: "en"
source_id: "wissen/ki-agent-vs-chatbot"
source_hash: "1f9903dae4f6960f9559ecd6ba5b29bc19f984bf17d7a77e68305f38b63b7f7f"
---

The difference in one sentence: **A chatbot responds, an AI agent acts.** A chatbot takes a request and delivers an answer – after that, the process is over. An AI agent pursues a goal across multiple steps: it plans, accesses data and tools, completes tasks, and remembers what matters. Both use the same underlying technology, but they play different roles.

## The five features compared

| Feature | Chatbot | AI agent |
| --- | --- | --- |
| **Way of working** | question in, answer out | goal in, multi-step completion |
| **Memory** | usually only within the session | persistent: context and rules remain |
| **Tools** | none or few | works with calendar, tasks, documents, email |
| **Initiative** | only reacts | also works without an ongoing dialogue, e.g. on a schedule |
| **Data access** | general knowledge | the company's context: contacts, documents, appointments |

## What a chatbot does well

Chatbots are strong where information and text are concerned: answering questions, explaining content, drafting wording, summarizing. For this they need neither tools nor company data – and that is exactly why they quickly hit a limit in everyday company life: they don't know your company. Every conversation starts from scratch, and at the end you're left with text that you have to transfer into your systems yourself.

## What an agent can do on top of that

An agent closes exactly this gap. It has a **memory** – the company's rules and context are retained instead of being explained anew in every conversation. It has **tools** – "you should set a deadline" becomes a deadline that has been set. And it has **initiative within its set guidelines**: through automations and schedules it handles recurring matters without anyone chatting.

More capability, however, demands more control. The approval principle has proven effective: the agent prepares and proposes, but actions with external impact – emails, calls, master data – go through a human's approval. This way the speed advantage is preserved without anything unchecked going out.

## When do you need which?

- **A chatbot is enough:** occasional text work, general questions, brainstorming – without any link to your company data.
- **An agent is needed:** as soon as something is meant to be *done* – creating tasks and deadlines, evaluating documents, running recurring processes, working with customer context. Rule of thumb: if you previously had to transfer the result into a system by hand, you need an agent.

In practice, the line blurs: modern assistants combine the familiar chat interface with agent capabilities. [webRichtung agent](https://www.webrichtung.de/module/agent/) is built that way – you talk in the chat with your personal AI colleague, but it knows your company's context, remembers what matters, and works through automations even when you're not currently talking to it. The basics are explored in depth in the article [What is an AI agent?](/de/wissen/was-ist-ein-ki-agent.html)