Nudger is an AI-powered roadmap planner that simplifies the process of goal setting and project management. It helps you break down your goals into manageable tasks and subtasks, providing dynamic views and progress tracking. With features like speech-to-text input, intelligent subtask creation, and an AI assistant to help you through complex tasks, Nudger ensures you stay on track. You can easily export your roadmaps to your favorite calendars and update tasks directly from there.

TimeMaster is a robust time management application that assists users in planning and executing their tasks effectively. With features like time tracking, task categorization, and insightful reporting, it empowers individuals and teams to maximize productivity. By allowing users to set deadlines, allocate time, and monitor progress, TimeMaster ensures that projects are completed on time and goals are met. Its user-friendly design facilitates seamless integration into daily routines, making it suitable for both personal and professional contexts.

xDesk is a versatile data management app that offers a range of features to help users stay organized and protect their information. With xDesk, users can protect their folders, create to-do lists, and manage their payments efficiently. The app provides a user-friendly interface and customizable options to suit individual needs, ensuring that data management is both secure and streamlined.

InspNote is an innovative platform that helps users record, refine, and organize their thoughts. By utilizing cutting-edge AI algorithms, it automatically summarizes and structures ideas captured via voice recording, turning them into actionable items. Whether you’re jotting down an urgent task or brainstorming for your next blog post, InspNote simplifies the content creation process, making it faster and more efficient. The tool also respects user privacy, ensuring all personal notes remain secure.

Aladin provides a modular architecture that allows developers to define autonomous agents powered by large language models (LLMs). Each agent can load memory backends (e.g., SQLite, in-memory), utilize dynamic prompt templates, and integrate custom plugins for external API calls or local command execution. It features a task planner that breaks high-level goals into sequenced actions, executing them in order and iterating based on LLM feedback. Configuration is managed through YAML files and environment variables, making it adaptable to various use cases. Users can deploy Aladin via Docker Compose or pip installation. The CLI and FastAPI-based HTTP endpoints let users trigger agents, monitor execution, and inspect memory states, facilitating integration with CI/CD pipelines, chat interfaces, or custom dashboards.