Awesome AI Agents › Web Agents
This project is a curated collection of public projects, papers, codebases, datasets, and tools related to Large Language Model (LLM)-based Web Agents and Tools. It serves as a continuously updated resource hub for researchers, developers, and enthusiasts interested in the development and application of LLMs in web-based agents. The repository provides an overview of LLM-based Web Agents, explaining their capabilities such as writing, proofreading, code analysis, and conducting advanced dialogues. These agents can be used for personal assistance tasks like scheduling and reminders, as well as professional tasks including technical analysis, report summarization, and customer service. The project highlights the benefits of LLM-based Web Agents, such as their ability to operate continuously without fatigue and handle large volumes of requests. It also emphasizes the importance of human judgment in sensitive matters, suggesting that these agents are best suited for automating repetitive tasks and assisting in information extraction. The repository outlines the design process for creating LLM-based Web Agents, including task definition, data gathering and training, integration, testing, iteration, monitoring, and updating. Additionally, it categorizes and lists relevant academic papers from recent years, codebases, benchmark datasets, and tools, including notable examples like Llama3 and Skyvern. This collection aims to facilitate knowledge sharing and accelerate innovation in the field of LLM-based web agents by providing easy access to a wide range of resources and references.
https://github.com/chenzixuan99/Awesome-LLM-based-Web-Agent-and-Tools
LaVague is an open-source Large Action Model framework for developing AI Web Agents that automate web-based tasks using components like a World Model and Action Engine with support for Selenium, Playwright, and Chrome extension drivers.
Index is an advanced open-source browser agent that autonomously performs complex web tasks using AI models, offering hosted and self-hosted options with strong observability features.
Tarsier is a vision utility that enhances web interaction agents by tagging webpage elements and converting screenshots into text representations to enable effective LLM-based web automation.
A curated list of tools, frameworks, and resources for building AI web agents that autonomously browse and interact with the web.
WebVoyager is an end-to-end web agent powered by Large Multimodal Models that interacts with real-world websites to complete diverse user tasks using textual and visual information.
Python SDK for the Oxylabs AI Studio scrape agent, which extracts data from a single web page using a natural language prompt and returns structured JSON or Markdown without CSS or XPath selectors.
AgentLab is an open-source framework for developing, testing, and benchmarking scalable and reproducible web agents across diverse tasks using BrowserGym benchmarks and large-scale parallel experiments.
WebShop is a simulated e-commerce environment designed to train and evaluate grounded language agents for complex real-world web interaction tasks involving product search and purchase based on natural language instructions.