AI tools for web agent
Related Tools:

Molmo AI
Molmo AI is a powerful, open-source multimodal AI model revolutionizing visual understanding. It helps developers easily build tools that can understand images and interact with the world in useful ways. Molmo AI offers exceptional image understanding, efficient data usage, open and accessible features, on-device compatibility, and a new era in multimodal AI development. It closes the gap between open and closed AI models, empowers the AI community with open access, and efficiently utilizes data for superior performance.

Smith.ai
Smith.ai is a customer engagement platform that combines the power of AI and human agents to provide 24/7 support for businesses. The platform offers a range of services, including virtual receptionists, outreach campaigns, and web chat. Smith.ai's AI technology is used to automate tasks such as lead screening, appointment booking, and call routing. This allows human agents to focus on providing personalized and efficient customer service.

AgentQL
AgentQL is an AI-powered tool for painless data extraction and web automation. It eliminates the need for fragile XPath or DOM selectors by using semantic selectors and natural language descriptions to find web elements reliably. With controlled output and deterministic behavior, AgentQL allows users to shape data exactly as needed. The tool offers features such as extracting data, filling forms automatically, and streamlining testing processes. It is designed to be user-friendly and efficient for developers and data engineers.

Shimoku
Shimoku is an AI application that supercharges CRM systems by leveraging predictive AI technology. It helps businesses convert more leads into customers, optimize cross-selling and upselling, and maximize customer retention. The AI agents provided by Shimoku work alongside sales teams to enhance performance and decision-making. With core capabilities like AI predictions for CRM optimization and real-time processing, Shimoku offers a comprehensive solution for businesses looking to boost their sales effectiveness.

AgentGPT
AgentGPT is an AI tool designed to assist users in various tasks by generating text based on specific inputs. It leverages the power of AI to create agents that can help with web scraping, report generation, trip planning, study plan creation, and more. Users can easily deploy agents by providing a name and goal, making it a versatile tool for a wide range of applications.

Reworkd
Reworkd is a web data extraction tool that uses AI to generate and repair web extractors on the fly. It allows users to retrieve data from hundreds of websites without the need for developers. Reworkd is used by businesses in a variety of industries, including manufacturing, e-commerce, recruiting, lead generation, and real estate.

Origami Agents
Origami Agents is an AI tool designed to help businesses find their perfect customers by utilizing research agents powered by artificial intelligence. The tool aims to revitalize databases with high-intent leads, streamlining the lead generation process and providing high-quality prospects that convert. Origami Agents offers a unique approach to lead generation, leveraging AI technology to search the internet and identify ideal customers for businesses, ultimately helping sales teams focus on connecting with potential clients and increasing revenue.

Voiceglow
Voiceglow is an AI tool that provides glowing AI agents for various tasks. It offers a user-friendly interface for interacting with AI-powered virtual assistants. Voiceglow aims to enhance productivity and efficiency by leveraging artificial intelligence technology to assist users in completing tasks effectively. With its intuitive design and advanced algorithms, Voiceglow is a reliable tool for individuals and businesses seeking AI-powered solutions.

NewsDigest.Ai
NewsDigest.Ai is an AI-powered platform that provides 24/7 financial news updates. It utilizes advanced AI agents to gather news related to technology, economics, and geopolitics in multiple languages. Users can access real-time news content and stay informed about the latest developments in the financial world.

Fenado AI
Fenado AI is an AI-powered platform that enables users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine the designs, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.

Fenado AI
Fenado AI is an AI-powered platform that allows users to build apps and websites in minutes without the need for coding. Users can describe their ideas to the AI, chat with it to refine, and then publish with just one click. The platform offers instant prototypes, AI-powered creation, design assistance, business dashboard, and scalability for users to launch their startups quickly and efficiently.

WeGPT.ai
WeGPT.ai is an AI tool that focuses on enhancing Generative AI capabilities through Retrieval Augmented Generation (RAG). It provides versatile tools for web browsing, REST APIs, image generation, and coding playgrounds. The platform offers consumer and enterprise solutions, multi-vendor support, and access to major frontier LLMs. With a comprehensive approach, WeGPT.ai aims to deliver better results, user experience, and cost efficiency by keeping AI models up-to-date with the latest data.

Workativ
Workativ is a no-code workflow automation platform that offers app integration and conversational AI chatbot capabilities for workplace support automation. It allows users to streamline their business processes by automating repetitive tasks without the need for coding knowledge. With Workativ, organizations can improve efficiency, reduce manual errors, and enhance employee productivity. The platform is designed to simplify complex workflows and provide a seamless user experience, making it an ideal solution for businesses looking to optimize their operations.

MindPal Landing Page Audit
MindPal's Landing Page Audit is an AI-powered tool that offers instant website analysis to help users improve their landing pages. It provides detailed audit reports covering SEO, design, storytelling, and copywriting with actionable insights. The tool is designed to identify areas for improvement in user experience, conversion rate, and overall effectiveness. Users can submit their landing pages for analysis and receive recommendations for enhancements.

Lazy AI
Lazy AI is an AI tool that enables users to quickly build and modify web apps with prompts and deploy them to the cloud with just one click. Users can create various applications such as customer portals, API endpoints for AI text summarization, metrics dashboards, web scrapers, chatbots, and discord bots. The platform offers a wide range of template categories and tools for automation, data mining, AI agents, dashboards, reporting, and more. Users can also access reusable templates from the Lazy AI community to streamline their development process.

Genesys
Genesys is a cloud-based contact center software that provides businesses with a variety of tools to improve customer experience. These tools include web messaging, live chat, chatbots, and AI-powered analytics. Genesys also offers a variety of integrations with other business applications, such as CRM and ERP systems.

Lazy AI
Lazy AI is a platform that enables users to build full stack web applications 10 times faster by utilizing AI technology. Users can create and modify web apps with prompts and deploy them to the cloud with just one click. The platform offers a variety of features including AI Component Builder, eCommerce store creation, Crypto Arbitrage Scraper, Text to Speech Converter, Lazy Image to Video generation, PDF Chatbot, and more. Lazy AI aims to streamline the app development process and empower users to leverage AI for various tasks.

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AgentLab
AgentLab is an open, easy-to-use, and extensible framework designed to accelerate web agent research. It provides features for developing and evaluating agents on various benchmarks supported by BrowserGym. The framework allows for large-scale parallel agent experiments using ray, building blocks for creating agents over BrowserGym, and a unified LLM API for OpenRouter, OpenAI, Azure, or self-hosted using TGI. AgentLab also offers reproducibility features, a unified LeaderBoard, and supports multiple benchmarks like WebArena, WorkArena, WebLinx, VisualWebArena, AssistantBench, GAIA, Mind2Web-live, and MiniWoB.

agent-q
Agentq is a tool that utilizes various agentic architectures to complete tasks on the web reliably. It includes a planner-navigator multi-agent architecture, a solo planner-actor agent, an actor-critic multi-agent architecture, and an actor-critic architecture with reinforcement learning and DPO finetuning. The repository also contains an open-source implementation of the research paper 'Agent Q'. Users can set up the tool by installing dependencies, starting Chrome in dev mode, and setting up necessary environment variables. The tool can be run to perform various tasks related to autonomous AI agents.

web-bench
Web-bench is a simple tool for benchmarking web servers. It is designed to generate a large number of requests to a web server and measure the performance of the server under load. The tool allows users to specify the number of requests, concurrency level, and other parameters to simulate different traffic scenarios. Web-bench provides detailed statistics on response times, throughput, and errors encountered during the benchmarking process. It is a useful tool for web developers, system administrators, and anyone interested in evaluating the performance of web servers.

AgentsMeetRL
AgentsMeetRL is an awesome list that summarizes open-source repositories for training LLM Agents using reinforcement learning. The criteria for identifying an agent project are multi-turn interactions or tool use. The project is based on code analysis from open-source repositories using GitHub Copilot Agent. The focus is on reinforcement learning frameworks, RL algorithms, rewards, and environments that projects depend on, for everyone's reference on technical choices.

ai-agent-papers
The AI Agents Papers repository provides a curated collection of papers focusing on AI agents, covering topics such as agent capabilities, applications, architectures, and presentations. It includes a variety of papers on ideation, decision making, long-horizon tasks, learning, memory-based agents, self-evolving agents, and more. The repository serves as a valuable resource for researchers and practitioners interested in AI agent technologies and advancements.

LLM-Agent-Evaluation-Survey
LLM-Agent-Evaluation-Survey is a tool designed to gather feedback and evaluate the performance of AI agents. It provides a user-friendly interface for users to rate and provide comments on the interactions with AI agents. The tool aims to collect valuable insights to improve the AI agents' capabilities and enhance user experience. With LLM-Agent-Evaluation-Survey, users can easily assess the effectiveness and efficiency of AI agents in various scenarios, leading to better decision-making and optimization of AI systems.

LLM-Agents-Papers
A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

awesome-lifelong-llm-agent
This repository is a collection of papers and resources related to Lifelong Learning of Large Language Model (LLM) based Agents. It focuses on continual learning and incremental learning of LLM agents, identifying key modules such as Perception, Memory, and Action. The repository serves as a roadmap for understanding lifelong learning in LLM agents and provides a comprehensive overview of related research and surveys.

LLM-Brained-GUI-Agents-Survey
The 'LLM-Brained-GUI-Agents-Survey' repository contains code for a searchable paper page and assets used in the survey paper on Large Language Model-Brained GUI Agents. These agents operate within GUI environments, utilizing Large Language Models as their core inference and cognitive engine to generate, plan, and execute actions flexibly and adaptively. The repository also encourages contributions from the community for new papers, resources, or improvements related to LLM-Powered GUI Agents.

Awesome-Agent-Papers
This repository is a comprehensive collection of research papers on Large Language Model (LLM) agents, organized across key categories including agent construction, collaboration mechanisms, evolution, tools, security, benchmarks, and applications. The taxonomy provides a structured framework for understanding the field of LLM agents, bridging fragmented research threads by highlighting connections between agent design principles and emergent behaviors.

GhostOS
GhostOS is an AI Agent framework designed to replace JSON Schema with a Turing-complete code interaction interface (Moss Protocol). It aims to create intelligent entities capable of continuous learning and growth through code generation and project management. The framework supports various capabilities such as turning Python files into web agents, real-time voice conversation, body movements control, and emotion expression. GhostOS is still in early experimental development and focuses on out-of-the-box capabilities for AI agents.

notte
Notte is a web browser designed specifically for LLM agents, providing a language-first web navigation experience without the need for DOM/HTML parsing. It transforms websites into structured, navigable maps described in natural language, enabling users to interact with the web using natural language commands. By simplifying browser complexity, Notte allows LLM policies to focus on conversational reasoning and planning, reducing token usage, costs, and latency. The tool supports various language model providers and offers a reinforcement learning style action space and controls for full navigation control.

LaVague
LaVague is an open-source Large Action Model framework that uses advanced AI techniques to compile natural language instructions into browser automation code. It leverages Selenium or Playwright for browser actions. Users can interact with LaVague through an interactive Gradio interface to automate web interactions. The tool requires an OpenAI API key for default examples and offers a Playwright integration guide. Contributors can help by working on outlined tasks, submitting PRs, and engaging with the community on Discord. The project roadmap is available to track progress, but users should exercise caution when executing LLM-generated code using 'exec'.

WebRL
WebRL is a self-evolving online curriculum learning framework designed for training web agents in the WebArena environment. It provides model checkpoints, training instructions, and evaluation processes for training the actor and critic models. The tool enables users to generate new instructions and interact with WebArena to configure tasks for training and evaluation.

steel-browser
Steel is an open-source browser API designed for AI agents and applications, simplifying the process of building live web agents and browser automation tools. It serves as a core building block for a production-ready, containerized browser sandbox with features like stealth capabilities, text-to-markdown session management, UI for session viewing/debugging, and full browser control through popular automation frameworks. Steel allows users to control, run, and manage a production-ready browser environment via a REST API, offering features such as full browser control, session management, proxy support, extension support, debugging tools, anti-detection mechanisms, resource management, and various browser tools. It aims to streamline complex browsing tasks programmatically, enabling users to focus on their AI applications while Steel handles the underlying complexity.

DeepResearch
Tongyi DeepResearch is an agentic large language model with 30.5 billion total parameters, designed for long-horizon, deep information-seeking tasks. It demonstrates state-of-the-art performance across various search benchmarks. The model features a fully automated synthetic data generation pipeline, large-scale continual pre-training on agentic data, end-to-end reinforcement learning, and compatibility with two inference paradigms. Users can download the model directly from HuggingFace or ModelScope. The repository also provides benchmark evaluation scripts and information on the Deep Research Agent Family.

ai2apps
AI2Apps is a visual IDE for building LLM-based AI agent applications, enabling developers to efficiently create AI agents through drag-and-drop, with features like design-to-development for rapid prototyping, direct packaging of agents into apps, powerful debugging capabilities, enhanced user interaction, efficient team collaboration, flexible deployment, multilingual support, simplified product maintenance, and extensibility through plugins.