# Architectural Philosophy ### The Vision Imagine an AI system that doesn't just respond to commands but also proactively suggests and execute intentions, growing autonomously through each interaction. The Levia Engine is designed as a living system that combines understanding, action, and continuous learning into this seamless experience. Levia learns from each interaction, remembers important context, and becomes increasingly adept at understanding and fulfilling user needs — just like humans ourselves. ## Core Features ### Metacognition provides the meta-engine for learning and adaptation to take place ### Neural Network of Tools a layer for various APIs and function calls to interconnect and generate new APIs/functions without human oversight ### Hierarchical Memory Management allows Levia to remember procedures, facts, and short-term context more effectively ### Episodic memory stores optimal procedures and workflows to fulfil a piece of user intent ### Automated active and passive testing ensures that new tools integrated and learnt are valid ### ### --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://leviaprotocol.gitbook.io/leviaprotocol/architectural-philosophy.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.