The AI agent builder introduced by Redis is an interactive code generator designed to streamline the creation of production-ready AI agents by enabling users to generate complete, deployable code in minutes through a conversational interface. This tool eliminates the complexities of setting up AI agents by integrating support for multiple large language model providers like OpenAI, Anthropic, and Llama 2 and optimizing performance using Redis data structures. Currently, it supports two types of agents: recommendation engines, which offer personalized recommendations based on user preferences, and conversational assistants, which manage conversation history and context for natural interactions. The generated code, which includes Redis connection, vector search setup, and conversation memory management, is available in Python, with plans to expand to languages like JavaScript, Java, and C#. By leveraging Redis's capabilities for fast data access, semantic search, and reliable memory, the builder ensures the agents are efficient and responsive, thereby lowering the barrier to building intelligent applications.