This AI Agent Surfs the Web So You Don’t Have To

Say Goodbye to Clicking: Meet the AI That Browses for You

Hugging Face has unveiled its own version of AI-powered agents designed to perform online tasks on your behalf. The Open Computer Agent is a free (though limited) tool that acts like a digital assistant embedded directly in your web browser.

Part of Hugging Face’s broader “smolagents” initiative, the Open Computer Agent can interact with websites and applications just like a human would, using a virtual mouse and keyboard. Whether it’s filling out forms, clicking buttons, or navigating websites, the agent follows your commands.

For example, if you ask it to find directions, it will visit Google Maps, input the start and end locations, and show you the route, essentially functioning like a personal online concierge.

A live demo is available to try, although due to high demand, users may experience slowdowns and occasional errors.

Unlike traditional tools that simply provide information, the Open Computer Agent actively performs tasks on the web. It's built on the same core idea behind tools like OpenAI’s Operator, Browser Use, Proxy 1.0, and Opera’s Browser Operator—but with Hugging Face’s unique approach.

Importantly, the agent is open-source. That means developers can inspect the code, customize it, or build entirely new tools based on it. It’s designed to be adaptable, not a fully polished product.

The demo is meant to showcase its potential, but it does not guarantee flawless performance. Users should be ready to assist when they encounter login pages or CAPTCHA challenges.

From booking tickets to checking business hours, running searches, or navigating menus, the agent aims to turn simple natural language commands into real web actions. It's a big leap from merely asking an AI for help—this tool actually tries to do the task for you.

While still imperfect and unrefined, the Open Computer Agent signals a promising future for hands-on AI assistance, potentially as commonplace as AI image generators are today.

Siemens Ignites Industry 5.0 with Game-Changing AI Agents

Siemens has introduced a new wave of autonomous AI agents designed to operate across the entire industrial lifecycle, from design and planning to engineering, operations, and service.

These agents are coordinated through a generative AI co-pilot interface, ushering in what the company describes as a leap from Industry 4.0 to Industry 5.0, a transition from automated support to intelligent, collaborative systems capable of independent decision-making and action.

Unveiled at Automate 2025 in Detroit, this innovation represents a significant move toward what Siemens calls “automating automation”. With a simple command from a factory worker via a generative AI dashboard, a network of digital and physical agents, including robots, can be activated to carry out complex tasks, analyze data, and optimize operations autonomously.

At the core of this evolution is industrial agentic AI: not just assistants, but specialized AI agents working together as part of a reasoning system to solve challenges across the industrial value chain. Siemens has agents in development for key domains such as design, engineering, and maintenance, all of which are deployed and managed by its AI co-pilot platform.

These agents will be made available through Siemens’ Xcelerator platform, which will host both Siemens-created and third-party agents.

All agents will be pre-tested and certified for interoperability in multi-agent environments, enabling them to work together smoothly and scale across various use cases. The company claims this could lead to productivity improvements of up to 50%.

Siemens emphasized a clear distinction between the AI agents, which handle the back-end execution, and the co-pilot interfaces, which serve as natural language tools for users to interact with and guide those agents. Several co-pilots are already available or in development, including:

• Design Copilot for NX CAD (already launched),

• Production Planning Copilot (in pre-release),

• Engineering and Coding Copilot (expected in 2025),

• Operations Copilot (available via Insights Hub, expanding in 2025),

• Maintenance Services Copilot from Senseye (currently available).

These co-pilots act as the bridge between human intent and machine autonomy, making it easier for non-experts to leverage industrial AI.

In its long-term vision, Siemens plans to grow the Xcelerator marketplace into a hub for AI agents of all types - both software and physical, including mobile robots like AMRs and AGVs.

The company stresses that its strength lies in the orchestration of a highly connected ecosystem, where agents, regardless of origin, can work together to automate entire workflows.

Rainer Brehm, Siemens’ head of factory automation, said the goal is to move beyond simple question-and-answer interactions to fully autonomous execution of industrial tasks.

He pointed to early deployments at Thyssenkrupp Automation Engineering, where AI improved code quality and speed, and at a Siemens motor factory in Bad Neustadt, where the system turned fragmented data into valuable insights.

Brehm concluded that the ultimate vision is an environment where AI agents operate seamlessly alongside human workers, handling routine tasks, enhancing decision-making, and allowing people to focus on innovation and problem-solving, regardless of their technical expertise.

Relevance AI Raises $24M to Power the Future of AI Agents

Relevance AI has secured $24 million in Series B funding to advance the growth and adoption of its platform, which enables organizations to build and deploy specialized AI agents.

The company’s AI agent operating system is built to empower not just engineers, but also domain experts, such as marketers, sales leaders, or operations specialists, to design agents tailored to their business needs, said Co-founder and Co-CEO Daniel Vassilev in a blog post published Tuesday (May 6).

According to the post, over 40,000 AI agents were created on the platform as of January, reflecting strong demand. “The response has been phenomenal,” Vassilev noted, citing adoption by startups and major enterprises like Qualified, Activision, and SafetyCulture.

He emphasized that AI workforces are transforming business operations—not just boosting efficiency, but fundamentally changing how work is approached.

The fresh funding will fast-track the rollout of two major innovations:

1. A visual multi-agent builder called Workforce, which allows non-technical users to build complex workflows where AI agents collaborate with each other and with human teammates.

2. A text-to-agent generator that can create specialized agents in just a few minutes from a simple natural language prompt.

Vassilev also observed a trend among customers: companies that begin by using AI copilots for support tasks eventually transition to fully autonomous AI agents that handle execution independently.

He believes this shift will become standard in the near future. “By the end of 2025, having an agent builder platform will be a must-have for competitive businesses,” Vassilev said. “It’s no longer a question of if organizations will use AI agents—but when, and whether they’ll be leaders or followers.”

AI agents are evolving beyond task automation—they function more like autonomous knowledge workers, capable of making decisions and taking action on behalf of users, as reported by PYMNTS in January.

Meanwhile, in March, a company named Paid announced its launch along with a €10 million ($10.8 million) raise to scale its financial infrastructure for AI agent developers. Paid offers a payment system tailored specifically for AI agents, departing from traditional SaaS billing models to better suit this new wave of autonomous digital workers.

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