Meta launches Manus desktop app and brings its AI agent straight to your personal computer
Meta is making another major move on the artificial intelligence chessboard. 🤖
Manus, the AI agent startup acquired by the company at the end of December 2025, just got a desktop application that brings its capabilities straight to your personal computer. The announcement was made this Monday and marks a significant shift in how the agent operates.
Until now, the tool worked exclusively in the cloud, accessed through a browser like any other web service. The Manus general agent, capable of executing complex multi-step tasks, relied entirely on that remote infrastructure to function.
Now, with the new app and a feature called My Computer, the agent interacts directly with files, programs, and data on your local machine.
This changes the conversation quite a bit about what an AI agent can do in your daily life. 💻
And alongside this new development come important questions about security and privacy, since granting local access to an AI is something that deserves extra attention.
Let’s break down what’s behind this launch, what it actually does in practice, and why it matters in the current AI agent landscape.
From the browser to your computer: what changes with the desktop app
For quite a while, Manus operated in a fully remote fashion. You accessed it through a browser, gave it an instruction, and the agent executed tasks in isolated virtual environments in the cloud. It worked well for a range of things like research, report generation, simple automations, and even more complex tasks that didn’t depend on anything saved locally. But there was a clear limitation: everything on your computer was out of the agent’s reach, which significantly reduced its potential for more practical, everyday use cases.
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With the launch of the desktop application, that scenario changes in a meaningful way. The new app allows Manus to directly access your machine’s operating system, read and manipulate local files, open programs, interact with windows, and execute actions that were previously only possible for someone physically sitting in front of the computer. It’s a real paradigm shift: the AI stops being an external service and starts acting as an assistant that is truly in your workspace, with access to your tools and your task workflow.
The core feature that makes all of this possible is called My Computer. It establishes the bridge between the agent and the local system, functioning as a kind of controlled permission that the user grants to Manus to operate within the computer. This functionality puts the agent on a very different level compared to traditional AI assistants, which are limited to answering questions or generating text. Here, the agent acts, executes, interacts with the graphical interface, and makes decisions based on what it finds in the local environment.
What Manus can do with local access
In practice, local access opens up a huge range of possibilities. According to the company itself, one of the use case examples is asking Manus to organize thousands of internal images stored on the computer’s hard drive. Imagine you need to organize hundreds of files scattered across different folders, rename documents following a specific pattern, or compile information from multiple spreadsheets into a single report. Tasks that would take hours can be delegated to Manus with a simple natural language instruction. The agent interprets what you want, maps out your computer’s environment, and executes the necessary steps autonomously, without you needing to watch every click.
Beyond file management, My Computer is also compatible with software development applications. According to Manus, the agent is capable of building a complete application in just a few minutes, working within code tools already installed on the machine. This includes text editors, browsers, development tools, design software, and virtually any program that responds to operating system commands.
This ability to operate within real applications, rather than just proprietary interfaces, is one of the most relevant differentiators for Manus compared to other AI agents available on the market. The experience comes pretty close to having a human assistant who knows how to use the same tools you use.
These new capabilities build on top of features Manus already offered, such as integration with services like Google Calendar, Gmail, and various third-party platforms. With local access added to those cloud integrations, the agent gains a presence that moves between the remote environment and the user’s personal computer, considerably expanding the scope of what it can handle.
Another interesting point is the ability to work with sensitive data that you simply wouldn’t send to a cloud service. Contracts, financial spreadsheets, internal company documents, files from ongoing projects — all of this can be processed locally by the agent without necessarily having to leave your machine. This addresses one of the biggest objections corporate users have about using AI in their daily workflow: the risk of exposing confidential information to external servers. With local access, the processing can stay contained within your own environment.
Manus and OpenClaw: the race of local AI agents
The launch of the Manus desktop app doesn’t happen in a vacuum. The move aligns directly with what OpenClaw had already been doing in the market. OpenClaw is an open-source AI agent that is also installed directly on the user’s computer, and it was created by Austrian software developer Peter Steinberger late last year.
OpenClaw’s popularity helped spark a full-blown AI agent craze in recent months. Nvidia CEO Jensen Huang went as far as describing OpenClaw as the next ChatGPT during an interview on CNBC’s Mad Money. That kind of statement from one of the most influential figures in the tech sector shows just how much this product category is gaining relevance and attention. 📈
It’s worth noting that Steinberger was also hired by OpenAI, the creator of ChatGPT and one of Meta’s main competitors in the artificial intelligence space. This creates an interesting competitive dynamic: on one side, Meta with Manus operating as a paid subscription service; on the other, OpenClaw’s influence within the OpenAI ecosystem, with a free, open-source model under an MIT license.
This difference in business model is an important detail. Unlike OpenClaw, which is free and open source, Manus operates primarily as a paid subscription service. This means that while Meta’s agent may offer more integrated functionality and enterprise support, OpenClaw has the advantage of being accessible to anyone at no cost with full code transparency. Each approach has its merits, and the choice between them will largely depend on the user’s profile and the use case.
Security and privacy: the side you can’t ignore
This is where the most sensitive aspect of the launch lives. Granting local access to an AI agent is a decision that carries serious responsibilities, both for the company developing the technology and the user who decides to use it. When Manus starts interacting with files, programs, and data on your computer, it also gains visibility into information that was never meant to leave that machine. And that requires Meta to be very transparent about what gets collected, what gets processed remotely, and what stays only on the user’s device.
Experts have already flagged potential security and privacy concerns with AI agents like OpenClaw and now Manus having access to local devices. It’s a legitimate warning: any software with this level of permission also becomes a potential attack surface, and the tech industry’s track record shows that no system is completely immune to vulnerabilities.
On this point, Manus stated in its official announcement that the My Computer feature was designed to keep the user firmly in control. The permission model works with explicit approval before any task is executed. There are two main options:
- Allow Once — for individual review of each action, ideal for those who want to monitor everything closely
- Always Allow — for trusted, recurring actions, when the user already feels comfortable with a certain type of task
Still, it’s worth remembering that any system with this level of access is also a potential risk vector, especially if configured carelessly or exploited by bad actors. The responsibility doesn’t fall on the company alone — it also falls on whoever uses the tool. Understanding what you’re authorizing before activating each permission is essential.
From a technical standpoint, the architecture of an agent with local access needs to address issues like sandboxing, action scope control, auditable activity logs, and rollback mechanisms in case of errors. These are layers of protection that prevent the agent from doing something the user didn’t expect or causing irreversible damage to the system. This level of security engineering is what separates a robust product from a risky experiment. It’s still too early to say with certainty how Manus performs across all these aspects, but the direction taken by Meta indicates these considerations are being factored into the product’s development.
The Meta acquisition of Manus and geopolitical tensions
The context behind Manus also deserves attention. The startup was founded in China before relocating its headquarters to Singapore. Meta announced the acquisition on December 29, 2025, with the goal of expanding its AI capabilities and integrating Manus’s autonomous agent technology into its products, including the Meta AI assistant.
The deal, valued at 2 billion dollars, didn’t go unnoticed by Chinese authorities. According to reports from The New York Times, Chinese government officials were reportedly examining the acquisition for potential violations of technology controls. This investigation adds a layer of geopolitical complexity to the desktop app launch and to Manus’s future under Meta’s umbrella.
This kind of regulatory scrutiny is increasingly common when AI technologies cross borders between the world’s two largest tech superpowers. For Meta, this means navigating not only technical and product challenges but also a delicate political landscape that could influence the speed and scope of Manus’s integration into its global ecosystem.
Why this move matters in the current AI landscape
The launch of the Manus desktop app isn’t an isolated event. It’s part of a broader race among major tech companies to put increasingly capable AI agents into people’s everyday lives. Meta, OpenAI, Google, and Microsoft are all betting big on agents that do things rather than just answer questions. The difference between a chatbot and an agent is exactly that: one talks, the other acts. And local action, within your own computer, represents the next level of that evolution. 🚀
The fact that Meta acquired Manus in December 2025 and is already launching a desktop app with such relevant capabilities shows the company is accelerating its presence in the autonomous agent space. This has direct implications for the market, because Meta has global-scale distribution, a massive user base, and the resources to integrate this agent into other products in its ecosystem, like WhatsApp, Instagram, and Meta for Business tools. An agent that starts on the desktop can quickly expand into much broader contexts.
For those closely following the AI sector, Manus represents a clear bet in the direction of so-called computer-use agents — agents capable of using computers the same way humans do. This category of AI is still in a maturation phase, with real technical challenges around reliability, context interpretation, and decision-making in dynamic environments. But progress over the past few months has been rapid, and the competition between Manus’s paid model and OpenClaw’s open-source model is likely to accelerate this evolution even further.
Manus is one of the products that best illustrates where this technology is heading and what it could mean for how we work and interact with our own machines. The transition from the browser to the desktop is more than a platform change. It’s a signal that the era of AI agents that truly act within the user’s digital world is becoming reality, with all the opportunities and responsibilities that come with it. 🧠
