LLM Text Summarizer is a Chrome extension that uses advanced AI from OpenAI to produce high-quality summaries of selected text. Users can simply select the text they want summarized, right-click, and choose 'Summarize' from the context menu. The extension processes the text with OpenAI's API and provides a concise summary in a modal window. The summary can be easily copied to the clipboard, and the tool supports Markdown for better readability. It is customizable with personal OpenAI API keys.

AgentReader is a developer-friendly AI agent framework that enables you to load and index various data sources such as PDFs, text files, markdown documents, and web pages. It integrates seamlessly with major LLM providers to power interactive chat sessions and question-answering over your knowledge base. Features include real-time streaming of model responses, customizable retrieval pipelines, web scraping via headless browser, and a plugin architecture for extending ingestion and processing capabilities.

AI Agents for Rock Paper Scissors is an open-source Python project that demonstrates how to build, train, and evaluate different AI strategies—random play, rule-based pattern recognition, and reinforcement learning (Q-learning)—in the classic Rock-Paper-Scissors game. It provides modular agent classes, a configurable game runner, performance logging, and visualization utilities. Users can easily swap agents, adjust learning parameters, and explore AI behavior in competitive scenarios.