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.

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.