# Core Concepts ## Overview: SONA is a framework for creating AI agents that can interact across multiple DeFi platforms. **Features** * **Modular Design**: Plugins and services allow for flexible customization. * **Knowledge**: Supports both RAG-based and direct knowledge processing. * **Stateful Interactions**: Maintains context across conversations. * **Multi-Agent Support**: Supports running multiple agents with distinct configurations. * **Multi-Platform Support**: Integrates with various DeFi protocols. Eliza consists of these core components: * **Agents (Runtime)**: AI personalities that interact with users and platforms * **Actions**: Executable behaviors that agents can perform in response to messages * **Target**: Platforms that agent perform on-chain actions. * **Plugins**: Modular extensions that add new features and capabilities * **Providers**: Services that supply contextual information to agents * **Evaluators**: Modules that analyze conversations and track agent goals * **Character Files**: JSON configurations that define agent personalities * **Memory System**: Database that stores and manages agent information using vector embeddings --- # 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.tars.pro/sona-framework/core-concepts.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.