Memxi is an innovative bookmarking solution designed to enhance your web browsing experience. It allows users to save web content in an organized manner while leveraging AI for effortless content retrieval. With features like smart recollections and the ability to ask natural language questions for saved content, Memxi transforms traditional bookmarking into a powerful tool for information management. Forget about tedious scrolling and searching – just ask, and Memxi fetches what you need in seconds!

RepoAgent is an AI framework that transforms any code repository into an interactive knowledge base. It indexes source files, functions, classes, and documentation into a vector store, enabling fast retrieval and context-aware responses. Developers can ask natural language questions about code functionality, architecture, or dependencies. It supports automated code summarization, documentation generation, and test case creation by integrating with LLMs. RepoAgent also analyzes issues, pull requests, and commit history to provide insights on code quality and potential bugs. Its modular design allows customization of retrieval pipelines, model selection, and output formatting. By embedding directly into CI/CD pipelines or IDEs, RepoAgent streamlines development, reduces onboarding time, and boosts team productivity.