Red Hat Developer Hub (RHDH) Local is a powerful tool for testing and developing with RHDH, but initial setup requires deep knowledge of catalogs, plugins, and configurations, often taking hours. This session demonstrates how we transformed RHDH Local into an intelligent AI agent that automatically configures developer platforms using industry-standard technologies.

We'll explore a multi-LLM architecture (OpenAI, Anthropic Claude, Ollama) integrated with LangChain and LangGraph for agent orchestration. The system uses RAG (Retrieval Augmented Generation) with vector databases to provide context-aware recommendations. The agent autonomously analyzes Git repositories, detects tech stacks, generates catalog entities, recommends plugins, and configures RHDH Local, reducing setup time from hours to minutes.

The presentation covers the architecture, demonstrates live auto-configuration, and shows how the agent learns from patterns to improve recommendations.