What is Manus AI? The autonomous agent explained, without the hype

In early 2025 a name suddenly turned up everywhere: Manus. An AI that didn't just answer, but performed entire tasks on its own. Building travel plans, doing market research, building a working website, all while you did something else. The demos were impressive and the hype to match. The question entrepreneurs asked me then, and still ask, is simple: is this real, and do I need to do something with it?

The short answer: it is real, it is important, and you don't need to do anything with it today. But it does show where AI is heading, and that is worth understanding. Here is the sober version.

What is Manus AI?

Manus is an autonomous AI agent, built by a Chinese startup and launched in March 2025. The name comes from the Latin word for hand, and that is exactly the idea: not an AI that talks, but an AI that acts. Where a chatbot waits for your next question, Manus gets a goal and works on it, from start to finish, with minimal intervention.

The difference from ChatGPT or Claude in their ordinary form is that those mainly give answers. You ask something, you get text back. Manus gets an instruction like "research these three suppliers and put the comparison in a table" and does the work: opening websites, gathering data, organising, and delivering the result. It is, in short, generative AI that takes a step further toward execution. What that means exactly, the difference between talking and doing, I wrote out in what is an AI agent.

How does it work?

Under the hood Manus does what most autonomous agents do: it works in a loop of thinking and acting. It receives a goal, makes a plan of smaller steps, executes each step using tools, and after each step evaluates whether it is on track, until the goal is reached.

Three things make it powerful. First, it works with several specialised sub-agents that pick up tasks in parallel, like a project lead dividing work across a team. Second, it runs in a sealed-off cloud environment where it can install software, write code, and search the web itself, without touching your computer. And third, it leans on existing top models, including Claude from Anthropic, for the reasoning itself. So Manus is not one new brain, but smart orchestration on top of existing models.

That last point is important to grasp: the breakthrough of Manus is not in a better language model, but in the orchestration around it. It shows that with good steering of existing models you already get surprisingly far.

What it can do

In practice Manus excels at tasks with many sub-steps that otherwise cost a lot of time. Research across multiple sources and summarising it into an overview. Gathering data from websites and organising it. Simple analyses with charts. Making drafts: an outline for a report, a first version of a website, a plan. Work that consists of "find this out and deliver it like this".

For anyone who spends a lot of time gathering, organising, and making a first version, that is genuinely useful. Not because it is flawless, but because a reasonable first version you review is often faster than starting from scratch.

What it cannot (yet) do reliably

This is where the sobriety belongs. Autonomous agents like Manus are impressive in a demo and erratic in practice. The more steps a task has, the greater the chance something goes wrong somewhere, and because the system keeps working, a mistake in step two compounds into step seven. It can confidently do the wrong thing.

On top of that, you have to check the work. An agent that independently makes a supplier comparison can copy a price wrong or invent a source. For research where the outcome matters, a human who reviews stays indispensable. And for sensitive data the familiar point applies: know where your data is processed, certainly with a provider outside the EU.

In short: it is a powerful assistant for the first draft, not an unsupervised employee you can blindly trust with a final result. Whoever deploys it that way, with checks on the points that matter, gets value out of it. Whoever expects it to take over whole processes flawlessly will be disappointed.

How does Manus compare to other agents?

Manus is not the only player. On the developer side Devin drew a lot of attention as an autonomous AI programmer, and large vendors are building agent functionality into their existing products: Microsoft with agents in Copilot, OpenAI and Google with their own agent features. The difference is mostly focus. Manus positions itself as a broad, general agent that tackles anything, while a Devin sits narrow and deep on software development and a Copilot agent leans close to your Microsoft environment. For SMEs that difference matters more than the brand name: a narrow agent that does one task well is almost always more useful than a broad one that does everything half.

The bigger story: autonomous agents are coming

Whether Manus itself becomes the winner is almost beside the point. It is one of the first visible examples of a shift that is broadly underway: from AI that answers to AI that executes. Market research shows how fast this is moving. The market for AI agents grew from about 7.6 billion dollars in 2025 to an expected 11 billion in 2026, and analysts expect that by the end of 2026 around 40 percent of business applications will contain task-specific agents, up from less than 5 percent a year earlier.

That does not mean you put a Manus-like agent on your whole business tomorrow. It means the direction is clear, and that it pays to understand now what agents can and cannot do, so you are ready when the technology is mature enough for your process.

What does this mean for SMEs?

For most SMEs the gain is not a general agent like Manus that does everything, but a narrow agent that takes over one concrete task: pre-sorting the mailbox, preparing quotes, doing a recurring piece of research. Narrow and reliable beats broad and erratic, especially if you don't have a team to catch failures.

Dutch SMEs are not at the back of the line here, by the way: according to CBS, nearly three in ten medium-sized companies now use AI, and the willingness to invest is nowhere higher in Europe. The question is not whether you come along, but where you start, and on which process an agent is already reliable enough.

Starting soberly

Don't follow the hype, follow your own process. Manus is an excellent reason to understand what agents can do, not a reason to build your business on it right away. The order stays the same as with all AI: start with a process that costs too much time, see whether an agent can reliably take over that piece, build in a check, and only scale when it works.

If you want to explore which work in your business is ready to hand to an agent, look at AI agents and automation. And if you want to know where most of your time disappears into manual work, the free AI scan gives a first analysis based on your own situation.

Autonomous agents are no longer a thing of the future. But the art is not buying the most impressive demo, it is finding the narrowest agent that reliably takes over your work.