Guides·Guide
AI that does the work, not just answers questions. A clear definition, how it works, and what it takes to run.
TL;DR
Agentic AI is AI you give a goal, not a prompt: it decides what to do, uses tools (a browser, files, a terminal, your apps), acts, checks the result, and keeps going until the goal is met.
Agentic AI is software that is given a goal and pursues it autonomously, deciding what to do and taking real actions across tools to get there. It is the step beyond a chatbot that answers and a generative model that produces: an agentic system operates.
Instead of a single prompt-and-response, an agentic system runs continuously and reasons at each step.
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.
A chatbot answers a question. Generative AI produces content on request. Agentic AI is given a goal and does the work to reach it, using a generative model as its brain. The line that matters is operate versus answer. For the full comparison, see agentic AI vs generative AI.
Generative AI makes people faster, which is quickly becoming table stakes. Agentic AI removes the task entirely by doing it, which compounds into a real competitive advantage: work that gets done without a person in the loop. The shift is from saving time to changing what your team has to do at all.
Reconciling data across several tools every night, operating a web portal that has no API, watching an inbox and acting before being asked, and running as a long-running worker. Open-source agents like OpenClaw and Hermes are agentic runtimes you can run yourself. See more agentic AI examples.
Because an agentic system is long-running, it needs a runtime: something that keeps it alive, holds its state, ships integrations, and recovers it when it breaks, 24/7. Running one is work, running many is a platform. 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
AI you give a goal instead of a prompt. It figures out the steps, uses tools to act, and keeps going until the goal is met, instead of just producing one answer.
Q.02
Generative AI produces content when prompted. Agentic AI is given a goal and acts on its own to reach it, using tools, memory and a reasoning loop. Generative answers, agentic operates.
Q.03
An agent that pulls data from several tools, reconciles it, and files a report every night, or one that logs into a portal with no API and completes a task like a human would. Long-running agents like OpenClaw and Hermes are agentic runtimes.
Q.04
Yes. OpenClaw is an open-source, long-running agentic runtime: it reasons, uses a browser, files and a terminal, holds state, and acts toward goals on its own. Molted runs OpenClaw in production.
Q.05
You need a runtime that keeps long-running agents alive, stateful, integrated and recovering, not just an API. Molted provides that runtime, managed, running OpenClaw today and other runtimes like Hermes on request.
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