IRIS (Interactive Research Ideation System) is an AI-driven assistant that empowers researchers to rapidly prototype study ideas. Users input a research topic or domain, and IRIS produces tailored research questions, identifies key concepts, synthesizes relevant literature abstracts, and suggests experimental designs or methodological approaches. It organizes these insights into customizable workflows, supporting hypothesis development, data collection planning, and result interpretation frameworks. Through iterative chatting, IRIS refines outputs based on feedback, ensures alignment with research goals, and exports structured reports in formats like PDF, DOCX, or Markdown. By automating repetitive tasks and enhancing creative brainstorming, IRIS accelerates early-stage research across academia, R&D labs, and startups, fostering innovation and reducing time-to-insight.

AgentInteraction is a developer-focused Python framework designed to simulate, coordinate, and evaluate multi-agent interactions using large language models. It allows users to define distinct agent roles, control conversational flow through a central manager, and integrate any LLM provider via a consistent API. With features like message routing, context management, and performance analytics, AgentInteraction streamlines experimentation with collaborative or competitive agent architectures, making it easy to prototype complex dialogue scenarios and measure success rates.

interactive-browser-use is a Python/JavaScript library that connects large language models (LLMs) with browser automation frameworks like Playwright or Puppeteer, allowing AI Agents to perform real-time web interactions. By defining prompts, users can instruct the agent to navigate web pages, click buttons, fill forms, extract tables, and scroll through dynamic content. The library manages browser sessions, context, and action execution, translating LLM responses into usable automation steps. It simplifies tasks like live web scraping, automated testing, and web-based Q&A by providing a programmable interface for AI-driven browsing, reducing manual effort while enabling complex multi-step web workflows.

This project demonstrates a comprehensive framework for creating retrieval-augmented AI agents using LlamaIndex. It guides developers through the entire workflow, starting with document ingestion and vector store creation, followed by defining a custom agent loop for contextual question-answering. Leveraging LlamaIndex's powerful indexing and retrieval capabilities, users can integrate any OpenAI-compatible language model, customize prompt templates, and manage conversation flows via a CLI interface. The modular architecture supports various data connectors, plugin extensions, and dynamic response customization, enabling rapid prototyping of enterprise-grade knowledge assistants, interactive chatbots, and research tools. This solution streamlines building domain-specific AI agents in Python, ensuring scalability, flexibility, and ease of integration.

Autogen Studio Research is a GitHub-hosted research prototype for building, visualizing, and iterating on multi-agent AI applications. It offers a web-based UI that lets you drag and drop agent components, define communication channels, and configure execution pipelines. Under the hood, it uses a Python SDK to connect to various LLM backends (OpenAI, Azure, local models) and provides real-time logging, metrics, and debugging tools. The platform is designed for rapid prototyping of collaborative agent systems, decision-making workflows, and automated task orchestration.

ChatGPT Deep Research is an AI-driven research agent based on the O3 model designed to complete complex research tasks autonomously. It supports multiple data formats including text, images, PDFs, and social media data, synthesizing information from hundreds of online sources. The tool generates comprehensive, analyst-grade reports with verified data sources, aimed at providing in-depth, professional-quality research outputs within 5-30 minutes, making it a valuable resource for specialized and domain-specific inquiries.

InteractiveDemo.ai is designed to simplify the creation of interactive demos. By automating keyframe extraction and using a large language model, it builds informative and engaging demos efficiently. The tool supports flexible interactions, animated popovers, smart focus, and natural physics to enhance user experience. Customizable cursors and styling options make it suitable for various use cases including product presentations, software demonstrations, and tutorials. Whether you're a marketer, developer, or product manager, InteractiveDemo.ai helps you create professional-quality demos that effectively convey your message.

PDF Interact enables users to ask questions about their documents and receive instantaneous responses. This AI-powered tool is designed to transform your research and analysis activities, providing in-depth insights from academic papers, enhancing productivity, and saving significant time. Users can easily upload their PDFs and let the AI assist in extracting vital information, making document reading and analysis more efficient and focused.

科研加 transforms the way researchers interact with academic resources. It intelligently aggregates a vast array of scholarly materials into a user-friendly platform. With its AI-powered capabilities, users can ask questions and receive distilled answers based on extensive data. The tool aims to eliminate the overwhelm often associated with abundant research literature, making academic inquiry straightforward and efficient.

IIQAnalyser is designed specifically for developers and data analysts who work with the Intent IQ JS SDK. This extension provides tools to conduct thorough integration analyses, allowing users to visualize and understand the results clearly. With its user-friendly interface, IIQAnalyser empowers users to uncover insights hidden within their data, fostering better decision-making and optimization of SDK integrations.

데이터 도깨비 is a Chrome extension that enhances your experience with public datasets from the South Korean government's official data portal. It caters to users who may not have prior knowledge of data analysis and aims to simplify the process of extracting insights from available public data. By offering a user-friendly interface, it allows individuals to explore, query, and visualize datasets, making it an essential tool for both casual users and professionals looking for data-driven insights.

Prolific is a platform designed for researchers to recruit high-quality participants for online studies, surveys, and experiments. Prolific offers a versatile participant pool, customizable surveys, and robust data collection tools. The platform ensures diverse demographics and ethical rewards for participants, making it a reliable and efficient tool for high-quality, large-scale data collection. Whether you're conducting academic research or market studies, Prolific provides the flexibility and support you need to gather accurate insights quickly.

Interactive Tutor is an AI-powered educational platform designed to provide personalized tutoring experiences. It adapts to individual learning styles, helping students to achieve their full potential. Teachers can monitor progress and tailor lessons to meet specific needs, while parents stay involved in their child's educational journey. The platform includes access to an AI Bot Library and offers various tools for effective learning.

Interacly AI offers a platform where users can effortlessly create and explore interactive AI chatbots. With its intuitive interface, the platform facilitates custom interaction training, making it ideal for those seeking to leverage AI in innovative ways. The playground nature of the platform encourages experimentation, learning, and development, providing users with the tools necessary to bring their AI chatbot ideas to life.

IterationX is an innovative AI-native project management and issue tracking application that allows front-end heavy product teams to efficiently manage tasks and bugs. The platform supports capturing and sharing issues directly from any live website, facilitating seamless collaboration and improved productivity. With IterationX's AI capabilities, teams can achieve a more organized workflow, reducing the time taken to resolve issues and enhancing overall project management effectiveness.

ResearchGPT is an open-source, LLM-based research assistant that enables users to engage in interactive discussions with research papers or PDFs. By leveraging advanced language models, ResearchGPT can answer questions, summarize content, and provide insights, making it an invaluable tool for researchers, academics, and students looking to streamline their literature review processes and enhance their understanding of complex documents.

IMRSIVO is a collaborative, no-code software that utilizes generative AI to help you design and create immersive web experiences effortlessly. Its intuitive interface allows both beginners and experienced users to create, edit, and deploy engaging, interactive content directly from their browsers. With IMRSIVO, you can focus more on creativity rather than technicalities, making it an ideal tool for anyone looking to build compelling online experiences quickly.

Blue Giraffe Labs is a dynamic, independent research lab dedicated to exploring and experimenting with new technologies. They provide a range of software tools and solutions, including custom AI chatbots, mobile application development, and personalized content generation platforms. Their experienced team is focused on creating experiences that streamline processes, foster creativity, and enhance productivity through the power of AI and other advanced technologies.

Research With GPT is an innovative Chrome extension that integrates the power of ChatGPT with the ArXiv repository. This tool helps researchers, students, and academics access, summarize, and analyze research papers quickly and efficiently. By leveraging natural language processing, users can ask questions about research, get concise summaries, and deepen their understanding of complex topics—all within their browser. This extension ultimately aims to make research more accessible and less time-consuming, allowing users to focus on what matters most: their own research and learning.

酷学术 is a comprehensive digital tool aimed at enhancing the academic research experience. It integrates advanced features like intelligent literature search, real-time translation, and streamlined citation management. Users can efficiently gather, read, and manage research materials across various subjects. Tailored for students, researchers, and academics, this tool promotes autonomous study, ensuring users can focus on knowledge acquisition without getting bogged down by logistics. Its user-friendly interface allows seamless navigation, making research more productive and enjoyable.