AI Edu is a user-friendly AI chat tool integrated as a Chrome extension. It allows users to interact with AI dynamically on the web. With the ability to customize APIs, it supports ChatGPT's official interface, enabling tailored responses. Additional features such as dark mode enhance the user experience, while image chatting and reading capabilities expand its functionality, making it suitable for both learning and casual use.

DocWhizz is an AI-powered tool designed to revolutionize the developer experience with API documentation. By leveraging advanced AI, DocWhizz transforms complex documentation into an easy-to-navigate format, allowing developers to find answers swiftly, customize information based on their needs, and enhance overall productivity. The tool blends retrieval and generation capabilities to provide accurate, context-aware assistance right within the documentation.

InstantAPI.ai is an advanced AI web scraper that allows users to convert any website into a customizable API quickly. Whether you're looking to scrape product data, reviews, or pricing information, this tool simplifies the data extraction process and ensures you get structured insights. With features like real-time data collection and compliance with local regulations, it is ideal for businesses seeking actionable intelligence without the hassle of manual data gathering.

ReasonChain provides a modular pipeline for constructing sequences of LLM-driven operations, allowing each step’s output to feed into the next. Users can define custom chain nodes for prompt generation, API calls to different LLM providers, conditional logic to route workflows, and aggregation functions for final outputs. The framework includes built-in debugging and logging to trace intermediate states, support for vector database lookups, and easy extension through user-defined modules. Whether solving multi-step reasoning tasks, orchestrating data transformations, or building conversational agents with memory, ReasonChain offers a transparent, reusable, and testable environment. Its design encourages experimentation with chain-of-thought strategies, making it ideal for research, prototyping, and production-ready AI solutions.

Goated Agents simplifies building sophisticated AI-driven autonomous systems in Go. By embedding chain-of-thought processing directly in the language runtime, developers can implement multi-step reasoning with transparent intermediate reasoning logs. The library offers a tool definition API, allowing agents to call external services, databases, or custom code modules. Memory management support enables persistent context across interactions. Plugin architecture facilitates extending core capabilities such as tool wrappers, logging, and monitoring. Goated Agents leverages Go’s performance and static typing to deliver efficient, reliable agent execution. Whether constructing chatbots, automation pipelines, or research prototypes, Goated Agents provides the building blocks to orchestrate complex reasoning flows and integrate LLM-driven intelligence seamlessly into Go applications.