Introduction
The next leap in AI is here: Agentic AI – intelligent agents that can take actions, not just chat. A prime example is Manus AI, a viral autonomous agent from a Chinese startup that can surf the web and complete tasks on a user’s behalf. Influential voices have hailed Manus as a breakthrough, comparing its impact to earlier AI milestones. Such agents hold immense potential for enterprises, from automating tedious workflows to augmenting decision-making. In this post, we explore what Manus AI is and how it takes actions across the web, then discuss Leena AI’s integration with Browser Use – an open-source framework that lets AI systems access the internet and perform tasks. We’ll also highlight enterprise use cases for these web-enabled AI agents and how Leena AI is harnessing them.
Manus AI: A New Era of Agentic Intelligence
Manus AI is often described as a “general AI agent” that “doesn’t just think – it delivers results”. Unlike a typical chatbot, Manus operates with a multi-model, multi-agent architecture. In fact, Manus is touted as the world’s first general AI agent using multiple AI models (e.g., Anthropic’s Claude and fine-tuned Alibaba Qwen models) orchestrated by specialized sub-agents to autonomously handle a wide range of tasks. This design lets Manus break down complex requests into steps and execute them without constant human guidance. Notably, Manus can even autonomously navigate the web to gather information and complete goals – a key capability that sets it apart from earlier AI systems. It presents a clean, chat-driven interface where users simply describe what they want done, and Manus takes it from there. Under the hood, it leverages a suite of 29 integrated tools and open-source modules – including a browser automation tool called Browser Use – to interact with websites, run code, and otherwise “make things happen” in the digital world. For example, Manus uses Browser Use as one component to click through online menus and fill out web forms during its autonomous workflows. In essence, Manus doesn’t just generate answers; it executes plans – from researching data to logging into web apps – illustrating the power of agentic AI in action.
Manus provides a minimalist interface for these complex capabilities. The web app is reminiscent of ChatGPT, with previous sessions listed in a sidebar and a prompt box in the center for users to “Give Manus a task to work on.” The system offers sample task templates (from business strategy to interactive learning) to showcase its skills. Once a task is submitted, Manus works behind the scenes, orchestrating its various AI models and tools. Users can even watch its progress in a “Manus’s Computer” view, seeing the agent navigate pages or apps step by step – a level of transparency that builds confidence in what the AI is doing. Overall, Manus AI demonstrates how far a well-designed agent can go in turning natural language requests into tangible results.
Browser Use – Enabling AI to Act on the Web
At the heart of Manus’s web-driving ability is Browser Use, an open-source framework that bridges large language models (LLMs) with web browsers. Browser Use is essentially a browser automation library that allows an AI agent to control a web browser much like a human would – clicking buttons, typing into forms, navigating links, and more. It’s designed with flexibility in mind, supporting multiple AI models and customization options for different tasks.
How does Browser Use work? In simple terms, it gives the AI both “eyes” and “hands” on the web. The tool can convert web pages into text or HTML data for the AI to read, then let the AI decide on an action and execute that action in the browser. This loop of observe-decide-act repeats until the task is complete. Under the hood, Browser Use automatically extracts all interactive elements on a page (buttons, input fields, etc.) to make them easily accessible to the AI agent. It can manage multiple tabs at once, handle dynamic web content, download files, and even simulate keyboard/mouse inputs – all through simple function calls from the AI. In other words, Browser Use abstracts away the complexities of web UI manipulation, so the AI can focus on what needs to be done rather than how to click a particular button. The framework is available as a free, MIT-licensed library that developers can self-host, as well as a cloud service for convenience. (Notably, its creators saw a huge spike in adoption after Manus’s debut – downloads jumped 5× in a week, underscoring interest in web-enabled AI agents.) The creators position Browser Use as a foundational layer for the coming wave of web agents, even suggesting that there could be “more agents on the web than humans by the end of the year”. Hyperbole aside, this tool provides a crucial capability that enterprise AI initiatives can leverage: letting an AI securely interact with web applications and websites to complete tasks end-to-end.
Leena AI’s Integration Approach
To bring these capabilities into the enterprise realm, Leena AI has been actively integrating frameworks like Browser Use into our Agentic AI architecture. In our design, a central Orchestrator component plans and coordinates tasks, dispatching them to various specialized AI agents (for HR, IT, finance, etc.) (Leena AI Agentic AI Architecture – Leena AI Blog). By plugging Browser Use into this architecture, we enable those agents to carry out steps that involve web interactions. For instance, if the Orchestrator determines that fulfilling a user request requires gathering information from a third-party web app or updating an internal web-based system (and corresponding APIs are not available), a Leena AI agent can invoke Browser Use to perform those actions – be it clicking through an internal portal or scraping data from an external site – all as part of the automated workflow. This integration essentially gives our enterprise AI assistant the same kind of web navigation prowess that Manus demonstrated, but it is tailored to enterprise use cases and systems.
Crucially, enterprise integration is done with security, governance, and compliance in mind at every step. Leena AI’s Agentic architecture includes strict Permissions & Access Controls and oversight layers (Leena AI Agentic AI Architecture – Leena AI Blog). Any action the AI tries to execute – whether calling an API or clicking a webpage on the company’s behalf – is subject to policy checks and role-based permissions. We deploy Browser Use in a controlled, self-hosted environment, so sensitive data never leaves the organization’s domain. This ensures that an AI agent can only operate within approved boundaries and that its web-based actions comply with IT and security policies. (Notably, Browser Use was built with enterprise needs in mind – it even supports on-premises deployments for custom integrations. By combining an open-source tool like Browser Use with Leena’s Agentic AI Architecture and security layers, we can safely empower AI agents to not only retrieve information but actually do work across the diverse web and SaaS applications that enterprises rely on, even if APIs are not available.
Enterprise Use Cases and Applications
What sorts of business tasks can web-capable AI agents automate? Below are a few high-impact enterprise use cases made possible by tools like Manus AI and Browser Use:
- Automated Research & Reporting: An AI agent can scour the web for market research – reading news sites, analyst reports, and even competitor websites – and aggregate findings into a briefing or dashboard. For example, Manus has demonstrated the ability to perform in-depth stock analysis and produce a visual report autonomously. Enterprises could similarly use an agent to gather intel (say, on suppliers or regulatory updates) and get a concise report, saving analysts hours of clicking and copy-pasting.
- Cross-System Workflow Automation: Modern businesses use countless web-based tools (CRM, HR portals, finance systems). An AI agent equipped with Browser Use can act as a smart workflow robot, moving information between these systems. Imagine an agent that notices a new customer inquiry in a CRM, then automatically opens a billing system to update the client record and finally sends a confirmation via a webmail interface – all without human intervention. In one demo, Browser Use was prompted to “add my latest LinkedIn follower to my leads in Salesforce,” showing how an agent can bridge two web services in a single command. This kind of end-to-end workflow automation can dramatically reduce manual data entry and ensure systems stay in sync.
- IT and Support Operations: Routine IT tasks that involve web consoles or dashboards are ripe for agentic automation. An AI agent could handle a common support request like resetting a user’s password by navigating the IT admin portal or monitor an operations dashboard and click through alerts to diagnose issues. As one industry expert noted, “AI agents can automate repetitive tasks that previously required human intervention, such as customer service and IT operations”. By letting an AI assistant drive existing web UIs, enterprises can accelerate support resolutions and free up staff from repetitive platform navigation.
- Knowledge Management & Employee Self-Service: Enterprises often have internal knowledge bases and numerous SaaS apps. A web-enabled agent can serve as a smart concierge for employees, answering complex queries by consulting multiple internal websites or performing account actions on behalf of an employee. For instance, an HR agent could use Browser Use to pull up an internal policy page and a benefits enrollment site to help answer an employee’s multi-part question, and then even submit a form for them if needed. This elevates the employee self-service experience by allowing the AI to act (not just chat) across the company’s web resources.
Conclusion
Manus AI’s emergence signals that AI agents capable of taking action are no longer science fiction – they’re here, and they’re proving their worth. For enterprises, the ability of AI to execute tasks across web interfaces opens up exciting opportunities to streamline processes and respond faster. By integrating technologies like Browser Use into Leena AI’s platform, we’re bringing this cutting-edge capability into a secure enterprise context. The goal is an AI that can truly function as a tireless digital coworker: not only analyzing information but also logging into systems, completing transactions, and driving workflows to completion. Analysts predict rapid growth in this arena – the AI agent market is projected to reach $42 billion by 2029, and by 2027, about half of companies using AI may be deploying agentic solutions. In other words, web-enabled AI agents are poised to become a standard part of business operations. Leena AI is excited to be at the forefront of this shift, leveraging open frameworks and robust architecture to deliver AI agents that are both technically powerful and enterprise-ready. By embracing these innovations, organizations can boost productivity, reduce drudgery, and unlock new levels of efficiency in the years ahead.
