defaultmodeAGENT is a Python-based framework designed to simplify the creation of intelligent agents that perform multi-step workflows autonomously. It features default-mode planning—an adaptive strategy for deciding when to explore versus exploit—alongside seamless integration of custom tools and APIs. Agents maintain conversational memory, support dynamic prompting, and offer logging for debugging. Built on top of OpenAI’s API, it allows rapid prototyping of assistants for data extraction, research, and task automation.

SkedPal is an intelligent calendar app designed to manage your tasks by automatically scheduling them based on your priorities and commitments. It provides a seamless experience by adapting to changes, helping you rediscover time, and boosting productivity. With SkedPal, you can consolidate your tasks and calendar into one platform, allowing for better time management and stress-free planning.

Sorted is designed to assist users in managing their time and tasks effectively using sophisticated AI algorithms. It offers features such as task prioritization, automation of routine planning, reminders, and intelligent scheduling. By analyzing users' habits and preferences, Sorted creates a dynamic plan that adapts as tasks are completed or deadlines approach, empowering users to focus on what truly matters.

TimeHero is a smart work management tool designed to help users plan and organize their daily tasks efficiently. By leveraging artificial intelligence, TimeHero intelligently schedules tasks around existing commitments such as meetings and deadlines, ensuring optimal use of your time. The platform is user-friendly and integrates seamlessly with other tools, allowing for a unified view of your workload. With features like task prioritization, recurring tasks, and adaptive planning, users can effortlessly manage their workflows and maximize productivity, making it a valuable asset for teams and organizations.

Plan Agent with Meta-Agent provides a layered AI agent architecture: the Plan Agent generates structured strategies to achieve high-level goals, while the Meta-Agent oversees execution, adjusts plans in real-time, and delegates subtasks to specialized sub-agents. It features plug-and-play tool connectors (e.g., web APIs, databases), persistent memory for context retention, and configurable logging for performance analysis. Users can extend the framework with custom modules to suit diverse automation scenarios, from data processing to content generation and decision support.