Lakshya is an innovative productivity application designed to streamline your planning and organization. By harnessing the power of artificial intelligence, it offers personalized goal planning, tracking features, and task management. Users can set deadlines, prioritize tasks, and receive reminders. Additionally, it includes features like daily insights and performance analytics, ensuring you stay on top of your goals, whether they involve work, study, or personal projects. Lakshya aims to revolutionize how individuals manage their time and tasks, leading to enhanced productivity and efficiency.

Sentient is a stateful AI Agent platform designed to power non-player characters and virtual personas. It features a memory system that records events, a goal scheduling engine that plans multi-step actions, and a conversational interface for natural dialogue. Developers configure personas with customizable traits, objectives, and knowledge bases. Sentient SDKs and APIs for Unity, Unreal, JavaScript and Node.js enable seamless integration, on-premise or in the cloud, to deliver immersive, interactive digital experiences.

Stack AI is a powerful AI agent that assists users by automating everyday tasks and optimizing workflows. It features intelligent scheduling, task management, and reminders, allowing users to focus on more important activities. With its advanced algorithms, Stack AI learns user preferences over time and offers tailored suggestions, making it a vital tool for both personal and professional use.

Agentic Kernel offers a decoupled architecture for constructing AI agents by composing reusable components. Developers can define planning pipelines to break down goals, configure short-term and long-term memory stores using embeddings or file-based backends, and register external tools or APIs for action execution. The framework supports dynamic tool selection, agent reflection cycles, and built-in scheduling to manage agent workflows. Its pluggable design accommodates any LLM provider and custom components, enabling use cases such as conversational assistants, automated research agents, and data-processing bots. With transparent logging, state management, and easy integration, Agentic Kernel accelerates development while ensuring maintainability and scalability in AI-driven applications.