Powerful Auto Researcher is a Python-based AI agent framework designed to automate and accelerate research workflows. Users define topics or initial questions, and the agent iteratively generates follow-up questions, submits them to OpenAI models, and aggregates the responses. It supports customizable prompt templates, workflow chaining, and automated export to Markdown, JSON, or PDF. Integrated logging and result management enable reproducibility. This tool is ideal for academic literature reviews, competitive intelligence gathering, market research, and technical deep dives, reducing manual overhead and ensuring systematic coverage of research questions.

Convergence Proxy is designed to optimize and streamline decision-making processes within organizations. By utilizing advanced machine learning algorithms, this AI agent aggregates and analyzes data from various sources, enabling users to derive actionable insights. It also features customizable dashboards and reporting tools, making it an essential asset for any data-driven team seeking to enhance operational efficiency and strategic planning.

hyperDart Search is a federated search platform represented as a Chrome extension. It transforms the way users retrieve information online by presenting intelligent answer cards that aggregate content from multiple reputable data sources. This means you don't just get links; you receive concise, relevant answers directly in your search interface. Users can efficiently find what they need without sifting through endless pages, making research and exploration significantly faster and easier. Whether for academic purposes, personal inquiries, or professional tasks, hyperDart offers a streamlined searching experience.

iPick.ai leverages advanced artificial intelligence to provide comprehensive research and insights on over 6,000 stocks and ETFs. By aggregating data from multiple sources, the platform offers independent and balanced stock research, fundamental analysis tools, and reliable market data. With iPick.ai, investors can make informed decisions, identify promising investment opportunities, and optimize their portfolios. Trusted by over 1000 users, iPick.ai is a valuable resource for retail investors, financial analysts, and anyone looking to enhance their investment strategy.

Multi-Agent Architecture provides a scalable, extensible platform to define, register, and coordinate multiple AI agents working together on a shared objective. It includes a message broker, lifecycle management, dynamic agent spawning, and customizable communication protocols. Developers can build specialized agents (e.g., data fetchers, NLP processors, decision-makers) and plug them into the core runtime to handle tasks ranging from data aggregation to autonomous decision workflows. The framework’s modular design supports plugin extensions and integrates with existing ML models or APIs.

Par GPT provides a simple interface to dispatch large volumes of OpenAI GPT calls in parallel, optimizing API usage and reducing end-to-end latency. Developers define prompt tasks, and Par GPT automatically manages subprocess workers, enforces rate limits, retries failed requests, and consolidates outputs into structured results. It supports customization of worker counts, timeouts, and concurrency controls across Windows, macOS, and Linux platforms.

xData is a groundbreaking browser extension that empowers users to efficiently gather, mark, and store tweets on secure blockchain systems. By leveraging artificial intelligence, xData simplifies the process of data handling, allowing users to focus on insights rather than managing data manually. With features designed for user-friendly operation, it provides a robust solution for individuals and organizations looking to enhance their data aggregation efforts. Whether you're a researcher, marketer, or simply an avid social media user, xData transforms how data can be utilized and processed in a modern digital landscape.

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.

Sahmeto enhances stock market analysis by aggregating key information and social sentiments from various platforms. It allows users to access data like stock performance, market trends, and community insights in one cohesive interface. The tool simplifies the research process, making it accessible for both novice and seasoned investors. Users can leverage advanced analytics to identify potential investment opportunities and stay updated on market developments.

Starlight Search is an AI agent designed to improve online research by understanding natural language queries and returning concise summaries paired with source links. It aggregates data from multiple websites, extracts key points, and formats responses in readable paragraphs or bullet points. Users can refine queries in real time, delve deeper into topics, and verify information through direct citations. The tool supports multi-turn dialogue, enabling clarifications and follow-up questions without restarting the search process.

RealtyRadar is a comprehensive Chrome extension that equips users with vital property information at their fingertips. By simply browsing a property listing or neighborhood, users can access data on ownership, recent sales, and more. The extension utilizes cutting-edge technology to aggregate and present this information in a user-friendly format, making it easier than ever to evaluate real estate opportunities, whether for investment or personal use. It's perfect for real estate agents, buyers, and anyone looking to stay informed about the property market.

The AI Data Viz Agent leverages large language models to interpret freeform textual instructions, and then orchestrates data processing and plotting libraries to generate code and render visualizations. Users can load datasets in CSV or JSON formats or pass pandas DataFrames directly. Once a dataset is provided, the agent can filter, group, and aggregate data based on prompts like “Show average sales by quarter for top products.” It supports multiple chart types including bar, line, scatter, pie, histogram, and heatmap, with customizable colors, labels, and annotations. The agent runs as a Python package, with optional CLI and API interfaces, enabling integration into notebooks, web services, or automated reporting pipelines.