Top 10 Computer Usage Agents You Need to Watch in 2025

The very definition of using a computer is undergoing a seismic revolution. For decades, we have been direct operators, meticulously clicking, typing, and navigating through interfaces to achieve our goals. Now, we are on the cusp of a new era—one where we become managers, delegating tasks to intelligent, autonomous "computer usage agents." These are not mere chatbots or simple automation scripts; they are sophisticated AI entities capable of understanding complex, multi-step goals and executing them on our behalf across various applications and websites. They are the emerging digital workforce, poised to redefine productivity, creativity, and our relationship with technology.

In 2025, these agents are moving from research labs to our laptops and business platforms. They are learning to use computers just like humans do, by looking at the screen, understanding the context, and taking action. From autonomously building entire software projects to managing your daily schedule and streamlining complex business operations, these agents represent the most significant shift in human-computer interaction since the graphical user interface. Keeping an eye on their development is no longer optional; it's essential for anyone looking to stay ahead of the technological curve. Here are the top 10 computer usage agents you need to be watching this year.

1. Devin: The Autonomous AI Software Engineer

Link: https://www.cognition-labs.com/introducing-devin

Arguably the agent that brought the concept of autonomous AI workers into the mainstream spotlight, Devin is a revolutionary AI software engineer. Developed by Cognition AI, Devin can take a single, high-level prompt—like "build a website that visualizes stock market data"—and execute the entire project from start to finish. It has its own command line, code editor, and web browser. It can plan complex engineering tasks, write its own code, identify and fix bugs in its own work, and even deploy the final application. Unlike coding assistants that suggest snippets, Devin handles the entire workflow, learning from new technologies and contributing to mature production repositories. Devin is the ultimate computer usage agent for software development, providing a stunning glimpse into a future where complex digital creation is as simple as stating an idea.

2. Microsoft Copilot for Windows: The Integrated OS Assistant

Link: https://www.microsoft.com/en-us/windows/copilot-ai-features

If Devin represents a specialized master, Microsoft's Copilot for Windows represents the ubiquitous generalist. Built directly into the Windows operating system, this agent is designed to be your everyday PC partner. It can perform a vast array of tasks that bridge the gap between natural language and system commands. You can ask it to "organize my open windows for my research project," "turn on focus mode and start a Pomodoro timer," or "find the presentation I was working on yesterday and summarize it for me." Because it's integrated at the OS level, Copilot can interact with system settings, files, and applications in a way that third-party tools cannot. In 2025, expect Copilot's capabilities to expand dramatically, making it the most accessible and widely used computer usage agent on the planet.

3. MultiOn: The AI Agent for Web Automation

Link: https://www.multion.ai/

The modern world runs on the web, and MultiOn is built to conquer it. This agent acts as an AI-powered web browser that can carry out complex, multi-step tasks across different websites on your behalf. Think of it as a personal assistant that you can delegate your online chores to. You could ask it to "Find me a flight to Tokyo for next month, book the one with the best balance of price and layover time, and then find a hotel near the Shinjuku station with good reviews." MultiOn will navigate the airline and hotel booking sites, fill out forms, compare options, and complete the transactions. It uses a "Large Action Model" (LAM) to understand and execute actions on web interfaces, making it an incredibly powerful tool for personal productivity and automating business processes that rely on web-based software.

4. Adept: The General-Purpose Application Automator

Link: https://www.adept.ai/

Adept’s mission is perhaps the most ambitious of all: to build general intelligence that enables humans and computers to work together creatively. Their primary agent is designed to turn a text command into a sequence of actions on any piece of software. The key differentiator is its focus on using existing tools without needing an API. Adept's agent learns to use software like Salesforce, Photoshop, or Excel the same way a human does—by looking at the interface and clicking, typing, and scrolling. A user could ask it to "generate a sales report in Salesforce for Q2, export it to Google Sheets, and create a chart visualizing the key trends." Adept's agent understands the goal and orchestrates the actions across these disparate applications. It's a foundational technology that could eventually make any software accessible via natural language.

5. Rabbit R1 (and the Large Action Model): A New Computing Paradigm

Link: https://www.rabbit.tech/

While the Rabbit R1 is a physical device, its heart is a powerful computer usage agent powered by what the company calls a Large Action Model (LAM). The R1 is designed to be a "conversational computer," a universal controller for your apps. Instead of you navigating through multiple apps to order food, book a car, or play a specific playlist, you simply ask the R1. Its agent then carries out these tasks for you in the background. The LAM was trained by observing humans using apps, allowing it to learn how to interact with interfaces on a user's behalf. Whether through the device or as a potential software-only agent in the future, the underlying model is a key technology to watch as it represents a fundamental rethinking of how we command our digital world.

6. ChatGPT with Advanced Tools: The Swiss Army Knife Agent

Link: https://openai.com/chatgpt

ChatGPT has evolved far beyond a simple text generator. With its advanced tools, it has become a formidable and versatile computer usage agent. Its Browse capability allows it to research real-time information from the web, synthesizing data from multiple sources to answer complex questions. Its Code Interpreter (now Advanced Data Analysis) tool acts as a powerful data science agent, capable of analyzing datasets, creating visualizations, and running Python code in a sandboxed environment. You can upload a file and ask it to "analyze this sales data, identify our top-performing region, and create a bar chart to show the results." By combining its powerful language understanding with these actionable tools, ChatGPT functions as an indispensable agent for research, analysis, and content creation.

7. Google's Project Astra: The Multimodal Real-World Agent

Link: https://deepmind.google/technologies/gemini/project-astra/

Project Astra is Google's vision for the future of AI assistants: a universal, multimodal agent that can see, hear, and understand the world around it in real-time. Demonstrated running on a phone, the agent can use the camera to identify objects, understand spoken context, and even recall where a user left something. When pointed at a computer screen, it can analyze code and answer questions about it. While still in development, the technology behind Astra is set to be integrated across Google's products, from Android to Google Search. In 2025, we will see the first commercial rollouts of this technology, creating an agent that can seamlessly transition between assisting you in the real world and performing tasks on your computer, all through natural conversation.

8. Tome: The AI Storytelling and Presentation Agent

Link: https://tome.app/

Creating compelling presentations and documents is a time-consuming task that involves research, writing, formatting, and design. Tome is a specialized computer usage agent designed to automate this entire workflow. You provide Tome with a prompt—a topic, an idea, or even a full document—and it generates a complete, professional-looking presentation or microsite from scratch. It structures the narrative, writes the text, sources relevant images and media, and lays it all out in a polished design. It's a prime example of an agent taking a high-level creative goal and handling all the tedious, low-level execution. For professionals in marketing, sales, and education, Tome is a powerful agent that frees them to focus on the message, not the medium.

9. Imbue: The Reasoning and Coding Agent

Link: https://imbue.com/

Backed by a massive $200 million funding round, Imbue is a research and product company with a singular focus: building AI agents that can reason and code. Their goal is to create practical agents that can accomplish large, complex goals that might take a human hours or days to complete. While still somewhat in stealth, their publicly stated aim is to build agents that can robustly browse the web and, more importantly, write reliable code to automate tasks. Their focus on the "reasoning" aspect is key; they are not just trying to automate rote clicks but to build agents that can strategize and problem-solve. Given their significant resources and sharp focus, Imbue is a heavyweight player to watch as they begin to unveil the fruits of their research in 2025.

10. AI Agents from Business Platforms (e.g., Salesforce, ServiceNow)

Link: (Varies by platform, e.g., Salesforce Einstein, ServiceNow Now Assist)

Beyond general-purpose agents, a major trend is the deep integration of specialized agents into major business software platforms. Salesforce's Einstein Copilot, for example, acts as a CRM agent that can summarize sales calls, update customer records, and draft follow-up emails. Similarly, ServiceNow's Now Assist helps IT and HR professionals by automating ticket resolution, answering employee queries, and managing workflows within the platform. These agents are powerful because they are pre-trained on the specific data and processes of their host environment. For any business that relies on these large-scale platforms, these integrated computer usage agents will be the primary drivers of efficiency and productivity gains in 2025.