The Buzz About "Manus" AI!
Exploring the appeal and applications of autonomous AI agents
Ran! Ran! Listen to this! Have you heard about "Manus"? It's this AI that's been making huge waves lately! Apparently Meta acquired it, and everyone's saying it's incredible!
Yes, Manus. It's an AI agent that has been attracting significant attention since its release in March 2025. It recently made headlines when Meta acquired it for a valuation reportedly exceeding $2 billion.
*Based on reports from May 2025. Acquisition terms may be subject to change.
$2 billion!? That's a massive amount! But there are so many AIs out there—ChatGPT, Gemini, and all the others. What makes Manus so special?
Great question. The biggest difference is that Manus isn't just a chat AI—it's an "autonomous AI agent." While ChatGPT and Gemini primarily "answer questions," Manus can actually "execute tasks" on its own.
Execute tasks? Wait... what do you mean by that? What kind of things can it actually do?
For example, if you ask it to "Research pricing from 50 competitors and compile it into a spreadsheet," Manus will operate a web browser to gather information and actually create an Excel file for you. If you say "Build me a web app like this," it can write the code, spin up a server, and even provide you with a live URL you can access.
What!? It can build actual apps!? That's... that's like having your own personal assistant!
That's a perfect way to put it. Manus is often called an "Action Engine"—it feels less like a search tool and more like having a remote worker you can delegate tasks to.
Hmm, I see... But ChatGPT can write code too, right? What's really different about this?
There are three major differences: "Persistent File System," "Asynchronous Execution," and "Vibe Coding." Let me explain each one.
【Feature 1】Persistent File System
Traditional AIs like ChatGPT primarily rely on chat history (context window) for memory. Manus, however, allocates a dedicated cloud environment for each project where files can be stored persistently.
*A context window refers to the amount of text an AI can process at once. There's a limit, and longer conversations may cause the AI to "forget" earlier content.
So... ChatGPT forgets things when conversations get long, but Manus can save stuff to files so it remembers better?
Exactly! Plus, each project can inherit a "Master Instruction" as a base configuration, so you don't need to repeat the same explanations every time. You can even share projects with your team.
【Feature 2】Asynchronous Execution (Background Processing)
This is one of Manus's biggest strengths. With regular AI, you need to keep your browser open while waiting for a response. But Manus supports "Fire and Forget" mode.
Fire and Forget? What does that mean?
Once you give an instruction, Manus continues working in the cloud even if you close your browser or log off. For example, you could ask it to "Research 100 companies," go to sleep, and wake up to a completion notification in the morning.
That's amazing! Having work done while I sleep sounds like a dream come true!
【Feature 3】Vibe Coding
This is an essential concept when talking about Manus. It refers to a development style where you can build things without programming knowledge—just by describing what you want in natural language, conveying the "vibe."
*Vibe Coding is a coined term for a new development approach where you communicate through the "vibe" or feel of what you want, and AI writes the code for you.
So I can just say things like "Make this button more blue" or "Move it to the right"!? Even I could do that!
Exactly! Plus, Manus shows you a preview instantly, so the tedious process of "write code → copy → run → fix errors" is drastically shortened. You can even upload a hand-drawn wireframe and have it build a web page based on that.
A web page from a hand-drawn sketch!? That's like magic!
So what can you actually use it for? Give me some specific examples!
Let me share some representative use cases.
📊 Use Case 1: Market Research & Competitive Analysis
Ask Manus to "Research pricing and services from 50 competitors and compile them into a comparison table," and it will operate a web browser to collect information and create a spreadsheet. The asynchronous execution feature is especially useful for time-consuming research tasks you can leave running.
🌐 Use Case 2: Web App & Site Development
For requests like "Create a landing page" or "I want a task management app," Manus not only writes the code but also spins up a server and provides an accessible live URL. It handles deployment automatically, making it incredibly useful for rapid prototyping.
📑 Use Case 3: Document & Presentation Creation
It can summarize content from PDFs or websites and automatically generate PowerPoint slides. Users praise its high summarization accuracy and its ability to handle image selection and layout adjustments.
🔄 Use Case 4: Data Processing & Conversion
You can delegate routine but tedious tasks like CSV formatting, data format conversion, and merging multiple files. Since Manus can actually manipulate files, you can download the results and use them immediately.
This is incredible! Market research especially has always been such a time sink for me... This could make things so much easier!
But wait, ChatGPT has GPTs, and Gemini has Gems, right? How is this different from those?
Great question. Let me put together a comparison table.
| Feature | Manus | ChatGPT (GPTs/Canvas) | Google Gems |
|---|---|---|---|
| Execution Environment | Full Cloud OS Environment | Limited Python Environment | Primarily API Calls |
| File Persistence | Persistent per Project | Per Thread (Limited) | Per Session |
| Async Execution | ◎ Background Execution | △ Synchronous | △ Synchronous |
| Web App Deployment | ◎ Auto-generates Live URLs | △ Code Generation Only | △ Primarily Colab Integration |
| Browser Control | ◎ GUI Operation Capable | ○ Browsing Feature Available | ○ Search Integration |
*Researched May 2025. Features are frequently updated; please check official sites for the latest information.
I see... So Manus provides "the environment itself." If ChatGPT is like an assistant, Manus is like an assistant with their own workspace, right?
That's a great analogy! Exactly right. Manus is sometimes described as a "cloud OS with an LLM as its kernel." It's not just a chatbot—think of it as providing an entire work environment.
*LLM (Large Language Model) refers to AI models trained on massive amounts of text data, the underlying technology behind ChatGPT, Claude, and similar systems.
But... if it's such an amazing tool, there must be some downsides, right?
Sharp observation, Ete-senpai. There are several important things to know. Let me be honest about them.
⚠️ Caveat 1: "Amnesia" Issues in Large Projects
As projects grow in scale, Manus may "forget" past decisions and dependencies. One user described it as a "goldfish with a chainsaw."
In other words, it has powerful execution capabilities but limited memory. Reports suggest that with codebases exceeding 50,000 lines, there's a risk of existing code being unintentionally broken.
A goldfish with a chainsaw... So it's powerful but forgetful. Does that mean it's not suited for building large systems?
Currently, it's ideal for prototyping and small-scale tools, but you should be cautious about large systems requiring long-term maintenance. Some users report that "initial builds are fast, but consistency can break down after multiple revisions."
⚠️ Caveat 2: Balancing Autonomy with Oversight
While asynchronous operation is convenient, leaving it completely unattended can lead to unintended directions. Reports mention issues like "going off track when given unclear direction" or "generating unnecessary files in bulk."
Regular check-ins and clear, structured instructions are important.
⚠️ Caveat 3: Prompt Engineering Still Matters
While marketing claims you can "just talk to it," getting high-quality outputs still benefits from clear, structured instructions. Vague prompts tend to lead to vague results—same as any other AI.
*Prompt engineering refers to the skill of crafting effective instructions (prompts) to get desired responses from AI.
I see... So it's not a magic tool. The key is knowing when to use it and keeping an eye on things.
Exactly! Every tool depends on how you use it. When you leverage Manus in areas it excels at—"prototyping," "research," "document creation"—it can deliver outstanding results.
Oh right, Meta acquired it! That's the company behind Facebook and Instagram, isn't it? What's going to happen?
Meta has been developing "Llama," their powerful AI model, but that was just the "brain." By acquiring Manus, they're giving Llama "hands." In other words, they now have an AI that can not only think but also execute.
So eventually we might be able to use Manus through WhatsApp or Instagram!?
That's highly likely. Post-acquisition plans suggest integration with WhatsApp and Instagram. You might be able to give commands like "Build an inventory management system" or "Create marketing materials" right from within chat apps.
That would be incredible! AI becoming even more accessible!
However, there are some concerns. It's unclear whether Manus will maintain its current identity as a "developer tool" or shift toward consumers with potentially reduced advanced features. Data privacy is also a consideration once it's integrated into Meta's platforms.
Let me summarize what we've covered today.
🎯 Key Takeaways About Manus
✨ What Makes Manus Special
- Autonomous AI Agent: Not just a chatbot—it's like a "remote worker" that executes tasks
- Persistent File System: Saves data per project, shareable with teams
- Asynchronous Execution: Give instructions and close your browser—it keeps working in the background
- Vibe Coding: Build apps using natural language, no programming knowledge needed
💡 Recommended Use Cases
- Market research & competitive analysis
- Rapid prototyping & MVP (Minimum Viable Product) creation
- Document & presentation creation
- Data processing & conversion tasks
⚠️ Things to Keep in Mind
- Large projects may experience memory consistency issues
- Complete hands-off is risky—regular check-ins are important
- Clear instructions lead to better outputs
Thanks to you, Ran, I really understand Manus now! It sounds perfect for delegating things I'm not great at, like prototyping and research!
I'm glad I could help. The AI agent space is evolving rapidly, so it's only going to get more useful from here. Let's find the right use cases and make the most of it!
You're amazing, Ran! Thanks for the clear explanation!
O-oh... I was just doing what anyone would do...
And that's a wrap for today! The world of AI agents is getting more exciting by the day! Give Manus a try, everyone! See you next time!
If you're interested, you can find more detailed information on the official site (manus.im). See you in the next article! Take care!







