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Can your AI agent survive the Oregon Trail? Join Redis’ Guy Royse for a hands-on dev talk where you’ll build a LangGraph-based LLM agent built for frontier survival—AI-style. Learn to add decision-making, routing logic, vector retrieval, and semantic caching to create intelligent, resilient agents powered by Redis and LangChain.

Key Topics

1. How to build an LLM-based agent using LangGraph
2. Route messages dynamically with allow/block list logic
3. Set up vector-based retrieval using Redis for memory recall
4. Configure a semantic cache to boost performance
5. Architect an AI agent workflow using Redis and LangChain components