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Echo serves as a persistent brain for AI agents, transforming stateless LLMs into intelligent entities with long-term memory. It operates as a Model Context Protocol (MCP) server, utilizing a local SQLite database to store and recall critical information like architectural preferences, project-specific snippets, and frequent instructions. This innovative approach ensures that established context and preferences are automatically inherited across all future AI sessions and directories, providing a consistent and reproducible environment for your agents without the typical context resets of standard LLM interactions.