Guides·Comparison
A chatbot answers. An AI agent operates. The difference, in plain terms.
TL;DR
A chatbot answers questions in a chat. An AI agent is given a goal and takes actions across your tools to get it done, on its own.
A chatbot produces a reply when you message it. An AI agent is handed a goal and takes the real actions to reach it, across tools, on its own. One talks, the other works.
Generative AI: one-shot, produces an output
Prompt in, output out. Stateless, and it does not act on the world or check its own result.
Agentic AI: a loop, gets an outcome done
Goal in, work done. Reasons at each step, uses tools, holds state, and adapts until the goal is met.
The gap is in what happens after the model produces text.
Ask a chatbot to handle a refund and it explains the steps. Ask an AI agent and it opens the dashboard, finds the order, issues the refund, and emails the customer. That is the line: a chatbot advises, an agent executes. It is also why agents need to be long-running, they have to stay available to act when something happens, not just when you open a chat window.
Chatbots are not obsolete. For FAQ, support deflection, lead capture and quick Q&A, a chatbot is simpler, cheaper and perfectly adequate. You only need an agent when the job is to do work, not answer questions.
A chatbot is a stateless request. An AI agent is long-running: it stays on, holds state, recovers when it breaks, and acts 24/7. That is a runtime, not a chat endpoint, and keeping a fleet of them alive and integrated is the hard part. Molted is that runtime, managed (OpenClaw today), with 1,000+ integrations and self-healing built in.
One agent
Easy to babysit.
A fleet, by hand
Q.01
A chatbot answers questions in a conversation. An AI agent is given a goal and takes actions across tools to get it done on its own. A chatbot advises, an agent executes.
Q.02
No. They may use the same kind of model, but an agent adds a runtime that lets it act: use a browser, files and your apps, hold state, and pursue a goal without being prompted at every step. A chatbot only produces replies.
Q.03
Not really. A chatbot can tell you how to do something; an agent does it, taking real actions in real systems and reaching tools that have no API through a browser. That requires a long-running runtime a chat endpoint does not have.
Q.04
If you need to answer questions (support, FAQ, lead capture), a chatbot is enough. If you need work done across your tools without a person in the loop, that is an AI agent.
Q.05
On a runtime that keeps long-running agents alive, stateful, integrated and recovering, not a chatbot endpoint. Molted runs OpenClaw today (and other runtimes like Hermes on request), with self-healing and 1,000+ integrations.
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