It is a repository containing the code, data, and implementation for "WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models." WebVoyager is an advanced web agent powered by Large Multimodal Models (LMMs) that can autonomously complete user instructions by interacting with real-world websites.
It is a repository containing the code, data, and implementation for “WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.” WebVoyager is an advanced web agent powered by Large Multimodal Models (LMMs) that can autonomously complete user instructions by interacting with real-world websites. The system uses Selenium to create an online web browsing environment, enabling it to perform tasks end-to-end.
The repository includes a dataset of 643 task queries across 15 websites, with each website containing over 40 queries. This dataset is stored in `data/WebVoyager_data.jsonl`. Additionally, 90 web browsing tasks from the GAIA dataset (validation set) are included, accessible in `data/GAIA_web.jsonl`. These tasks form a comprehensive task pool, and users are encouraged to expand the dataset using GPT-4 by modifying provided prompts.
To run WebVoyager, users must set up the environment and execute the provided `run.sh` script. The system’s performance heavily depends on prompt optimization, and the repository includes a system prompt in `prompts.py` that has been iteratively refined. Users can customize the prompt or modify the action format and execution logic in `run.py` to suit specific needs.
Results from WebVoyager are saved in an output directory, containing interaction messages and screenshots for each task. These outputs are evaluated using GPT-4V to determine task completion success. An auto-evaluation tool is provided in the `evaluation` directory, which requires updating the API key and process directory before execution.
The repository emphasizes that WebVoyager is not an officially supported product and disclaims responsibility for the accuracy of the model’s outputs, which may be influenced by factors like OpenAI API non-determinism, prompt changes, or website alterations. Users are advised to cite the associated paper if they find the work helpful. The repository also includes navigation menus, saved searches, and other GitHub features for ease of use.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
It is a dynamic Artificial Intelligence Automation Platform designed to manage AI instruction and execute tasks efficiently across multiple AI providers.
It is a terminal-based platform designed for experimenting with AI-driven software engineering, specifically focusing on code generation and improvement.
It is a cloud-hosted browser platform designed to enable AI agents to perform web-based tasks securely and autonomously, mimicking human-like interactions.
It is a framework and suite of applications designed for developing and deploying large language model (LLM) applications based on Qwen (version 2.0 or higher).
It is a platform designed to create, run, and scale web automations using advanced AI technologies such as Vision-Language Models (VLMs), Large Language Models (LLMs), and AI agents.
It is an autonomous framework designed for data labeling and processing tasks, enabling the creation of intelligent agents that can independently learn and apply skills through iterative processes.
It is an experimental open-source project called Multi-GPT, designed to make GPT-4 fully autonomous by enabling multiple specialized AI agents, referred to as "expertGPTs," to collaborate on tasks.
It is a fully autonomous, general-purpose AI agent designed to function as a standalone artificial intelligence assistant, similar to JARVIS, using a Large Language Model (LLM) as its core processor.
It is a GenAI evaluation and observability platform designed to simulate, evaluate, and observe AI agents, enabling users to develop, test, and deploy AI applications with enhanced quality, speed, and reliability.
It is a project titled "Natural Language-Based Societies of Mind (NLSOM)" that explores the concept of intelligence through diverse, interconnected agents working collaboratively in a natural language-based framework.
It is a platform designed to instantly generate multi-agent workflows by describing your business operations, which can then be fine-tuned through conversation.
It is a comprehensive customer experience management (CXM) platform that unifies all aspects of customer interactions—customer care, sales, social media, and automation—into a single, powerful solution.
It is the first AI Agent Store for Fintech, designed to provide a curated list of AI agents tailored for security, quality performance, and user experience.
It is an AI-driven platform designed to provide 24/7 sales and support for businesses, enabling seamless customer engagement through AI avatars on websites or direct phone interactions via Smart Call AI.
It is a SaaS tool called ListingBott that automates the process of listing your SaaS, tool, product, newsletter, or blog on over 100 high-quality directories, forums, and niche websites in one click, saving you significant time and effort.
It is an AI-powered platform designed to streamline and enhance insurance operations by automating time-consuming tasks, improving decision-making, and accelerating business growth.
It is an AI-powered sanctions and Politically Exposed Persons (PEP) screening platform designed to simplify Anti-Money Laundering (AML) and Counter-Terrorism Financing (CTF) compliance.
It is an AI tool-calling platform that enables AI to securely act on behalf of users through authenticated integrations, or "tools," connecting AI to email, files, calendars, and APIs to build assistants that perform tasks rather than just chat.
