Cache-Pot is introduced as a fast, drop-in Redis-compatible data store specifically designed for AI applications. Beyond standard key-value storage, it includes native vector search, semantic caching to optimize LLM calls, and a built-in MCP server for AI agents to easily read, write, and search data. It aims to provide an accessible, lightweight alternative to standard Redis for AI-focused workflows.