ResearchAgent leverages large language models to conduct automated research across online databases and web sources. Users provide a research query, and the agent executes searches, scrapes document metadata, extracts abstracts, highlights key findings, and generates organized summaries with citations. It supports customizable pipelines, allowing integration with APIs, PDF parsing, and export to Markdown or JSON for further analysis or reporting.

scenario-go serves as a robust framework for constructing AI agents in Go by allowing developers to author scenario definitions that specify step-by-step interactions with large language models. Each scenario can incorporate prompt templates, custom functions, and memory storage to maintain conversational state across multiple turns. The toolkit integrates with leading LLM providers via RESTful APIs, enabling dynamic input-output cycles and conditional branching based on AI responses. With built-in logging and error handling, scenario-go simplifies debugging and monitoring of AI workflows. Developers can compose reusable scenario components, chain multiple AI tasks, and extend functionality through plugins. The result is a streamlined development experience for building chatbots, data extraction pipelines, virtual assistants, and automated customer support agents fully in Go.

Skrape.ai is a web scraping solution designed to transform web data into structured formats like JSON and Markdown. It supports dynamic content and JavaScript rendering, making it robust for modern web applications. It can automate the collection of diverse datasets for training AI models, build knowledge bases, monitor AI content, and extract technical documentation. The platform ensures fresh, real-time data with features like smart crawling and no caching, making it ideal for reliable and consistent data extraction.

Tohju offers a platform to create AI agents that automate various business workflows. These AI agents can handle customer service inquiries, extract structured data from documents, and manage social media content, thus allowing businesses to focus on core activities. With Tohju, you can integrate these agents into existing systems, ensuring seamless operations, enhanced productivity, and reduced operational costs. The self-hosted model ensures data security and customization tailored to your business needs.

Tomat AI is a versatile no-code data analytics tool tailored for users who work extensively with CSV and Excel files. It offers a seamless, step-by-step interface that allows users to open and analyze large files without uploading them to the cloud. Key features include adding visual steps to filter, sort, or group data, merging multiple files, automating repetitive tasks, and exporting results or building reports. Additionally, Tomat AI leverages advanced AI capabilities to handle complex tasks such as data cleaning, extraction, summarization, and sentiment analysis.

TurboLens is a versatile OCR tool built for rapid and accurate extraction of text and information from both printed and handwritten documents. Utilizing advanced computer vision and generative AI, TurboLens converts images into actionable data. It offers features like multi-language OCR, translation, math formula recognition, and table conversion to streamline the user’s workflow. DocumentLens, part of the TurboLens suite, specializes in extracting key information with AI-powered precision, greatly reducing the need for manual data extraction.

Agent TARS leverages a combination of advanced computer vision and natural language processing techniques to understand and manipulate graphical user interfaces. By capturing visual representations of web pages, TARS can identify buttons, forms, tables, and other page elements. Users interact with TARS through natural language prompts, instructing it to click, scroll, extract text, or fill forms across multiple pages. It supports customizable workflows that chain tasks—such as logging into accounts, scraping data, and exporting results to CSV or JSON. With support for headless and headful browser modes, TARS enables both interactive exploration and unattended automation, making it ideal for testing, data acquisition, and routine browser-based operations.

Velatir is an AI-powered solution that specializes in automating document workflows. It enables users to effortlessly extract, analyze, and manage data from various document formats. The AI Agent enhances productivity by reducing manual efforts and minimizing errors, thus allowing businesses to focus on strategic activities.

Visiomera stands out as a leading AI-powered automation platform that transforms business operations with intelligent workflows. By integrating ChatGPT, Visiomera enables users to automate complex tasks, manage massive datasets, and execute batch processing efficiently. This platform leverages advanced algorithms for data processing, offering an intuitive interface that requires no coding experience. Whether managing customer inquiries, automating content creation, or extracting information from unstructured text, Visiomera is designed to maximize operational efficiency and reduce manual workload.

Web Voyager is an LLM-powered web navigation agent designed to automate complex browsing tasks. Utilizing OpenAI's GPT models, it interprets natural language instructions to traverse multiple web pages, follow specified hyperlinks, click buttons, fill out forms, download files, and capture screenshots. It extracts structured data from HTML elements like tables and lists, summarizes content, and generates answers to queries based on aggregated page data. Its modular Python SDK enables seamless integration into applications, removing the need for low-level browser automation code.

Webtap.ai is an advanced AI-powered web scraping tool engineered to provide seamless data extraction for various industries. It supports universal site access and allows users to query website data using natural language. The platform continuously updates its algorithms to enhance data quality and accuracy, ensuring reliable and up-to-date information. Users can benefit from easy-to-use interfaces and efficient data exports, making Webtap.ai suitable for diverse use cases from market research to data analysis.

Whizi.io is a robust platform designed to facilitate seamless web automation and API integrations. It offers a user-friendly interface, enabling developers to automate repetitive tasks, integrate various APIs effortlessly, and enhance overall productivity. The platform supports custom workflows, precise data extraction, and integration with multiple third-party services, making it an invaluable tool for both developers and businesses looking to optimize their operations.

Yapping GPT offers a practical solution for analyzing LinkedIn posts. By simply inputting a post link, users can receive a streamlined, fluff-free summary that highlights the core insights. This tool caters to individuals and professionals who seek clear and concise information, avoiding unnecessary jargon. It's designed to enhance the understanding of LinkedIn posts, making it easier to grasp key points and data. Yapping GPT stands out as a reliable assistant, ensuring rapid and straightforward post analysis.

Adorable is a low-code framework that empowers developers and businesses to build autonomous AI agents capable of performing web browsing, data extraction, API calls, and scheduled workflows. Users define objectives, triggers, and actions via a web dashboard or SDK, then test and deploy agents to the cloud or on-premise. Adorable manages authentication, error retries, and logging, while offering templates for common use cases like web scraping, email alerts, and social media monitoring. Its dashboard provides real-time insights and scalability controls, reducing development time and operational overhead for routine automation tasks.

AgentChat is an open-source AI Agent management platform that leverages OpenAI's GPT models to run versatile conversational agents. It provides a React front-end for interactive chat sessions, a Node.js back-end for API routing, and a plugin system for extending agent capabilities. Agents can be configured with role-based prompts, persistent memory storage, and pre-defined workflows to automate tasks such as summarization, scheduling, data extraction, and notifications. Users can create multiple agent instances, assign custom names, and switch between them in real-time. The system supports secure API key management, and developers can build or integrate new data connectors, knowledge bases, and third-party services to enrich agent interactions.

Affinda offers state-of-the-art AI technology for document automation and data extraction, transforming unstructured data into structured, actionable outputs. Their platform supports multiple languages and can process documents in various formats, delivering efficiency and accuracy across industries. Affinda's comprehensive solutions include Optical Character Recognition (OCR), document parsing, and data integration, providing businesses with the tools to streamline workflows and enhance data management.

Agents Course by Justinvarghese511 is a structured learning program that equips developers with the skills to architect, implement, and deploy AI agents. Through step-by-step tutorials, participants learn to design agent decision flows, integrate external APIs, and manage context and memory. The course includes hands-on code examples, Jupyter notebooks, and practical exercises for building agents that automate data extraction, respond conversationally, and perform multi-step tasks. By the end, learners will have a portfolio of working AI agent projects and best practices for production deployment.

Allganize provides cutting-edge AI technology that enables businesses to efficiently manage documents, extract and process data, and streamline customer support through natural language understanding. Their solutions include AI-powered chatbots, data extraction tools, and advanced analytics, designed to improve operational efficiency and customer satisfaction. The platform is suited for industries such as finance, insurance, and SaaS, offering custom-tailored AI solutions to meet diverse business needs.

AI Robots & Scrapers offers an end-to-end solution for automated web scraping tasks. By combining AI-driven natural language instructions with robust scraping modules, it enables users to launch intelligent bots that navigate websites, handle dynamic content, solve CAPTCHAs, and extract structured data. The framework includes built-in connectors for common platforms like e-commerce sites, social media, and news outlets, and supports custom site configurations via simple JSON definitions. It integrates with popular data storage and processing tools, allowing seamless pipeline creation for ETL workflows. Advanced features include scheduling, parallel execution, error handling, and real-time monitoring dashboards.

10x Rules is a comprehensive AI agent framework allowing organizations to construct and deploy smart agents based on custom rule sets and business logic. By defining triggers, conditions, and actions in an intuitive interface, users can instruct AI agents to perform tasks such as extracting data from documents, scoring leads, sending personalized emails, and updating CRM records. The platform seamlessly integrates with popular services through pre-built connectors, supports real-time monitoring and debugging, and provides analytics on agent performance. Both technical and non-technical users can streamline repetitive workflows, reduce manual errors, and accelerate operations with AI-driven automation.