# Agentic & Data Layer Memejob AI agents are **composable by design** and are built around two core pillars that operate in tandem: * **The Data Layer**\ Responsible for sourcing, normalizing and exposing on-chain, off-chain and oracle-based data. * **The Agentic Layer**\ Encapsulates agent behavior and decision-making workflows. This separation ensures that data sourcing and normalization can evolve independently from agent logic, reducing coupling and enabling safer iteration. Together, these layers enable modular, extensible agents, that can adapt strategies, integrate new data sources and evolve behavior without tight coupling between data ingestion and decision logic. You can find implementation details of agent execution and SDK-level capabilities in the [Agent Framework](/memejob/introducing-ai-agents/agentic-and-data-layer/agent-framework.md) section. --- # 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://docs.memejob.fun/memejob/introducing-ai-agents/agentic-and-data-layer.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.