# Web Interaction

Proxy Lite is an open-source model launched by Convergence AI, with powerful web automation capabilities. It achieves efficient web interaction through a unique three-step response mechanism (observe, think, tool call), significantly improving task success rate and efficiency. The model performs exceptionally well in the WebVoyager task, achieving top-tier performance using only a small amount of computing resources. Its open-source nature allows developers and researchers to freely use, improve, and extend it, driving progress in the open-source community in the field of automation.

Browser Use is a platform dedicated to making websites accessible to AI agents by extracting all interactive elements, allowing AI agents to focus on their core tasks. This product combines advanced AI capabilities with powerful browser automation technology, supporting multi-tab management, element tracking, custom actions, and is compatible with all LangChain LLMs, including GPT-4, Claude 3, and Llama 2. With its high-precision web proxy performance and ease of use, Browser Use stands out as a leader in AI web automation.

Nfig is an API designed for AI agents, allowing them to browse, click, and perform tasks on webpages using natural language commands. By providing an easily integrable API, it enhances AI workflows and unleashes powerful agent capabilities. Nfig supports complex operations such as automated logins and DOM virtualization, enabling AI agents to tackle previously unattainable tasks. The product description emphasizes its developer-friendly design, security, self-healing capabilities, and commitment to data privacy. Nfig employs a pay-as-you-go pricing strategy, with no monthly commitments, allowing users to only pay for the services they actually use.

Browser-use is an open-source web automation library that allows large language models (LLMs) to interact with websites and perform complex web operations through a simple interface. Its major advantages include universal support for various language models, automatic detection of interactive elements, multi-tab management, XPath extraction, support for visual models, among others. It addresses several pain points in traditional web automation, such as handling dynamic content and managing long tasks. With its flexibility and ease of use, browser-use provides developers with a powerful tool for creating smarter and more automated web interaction experiences.

Agent-E is a system based on the AutoGen agent framework, designed to automate user computer operations, currently focusing on automation within the browser. It interacts with web browsers using natural language, executing tasks such as filling forms, searching and ranking products on e-commerce sites, locating website content, managing playback settings, performing web searches, and managing project management platform tasks. Agent-E is still growing and can handle diverse tasks, but the best tasks are those discovered by the user themselves.