Redis Agent Memory Basics

Learn how to give AI agents persistent memory with Redis Agent Memory — enabling personalized, stateful experiences across sessions with both short-term and long-term memory. Overview Modern AI agents are getting smarter, but without memory, every interaction starts from zero. In this video, we explore how Redis Agent Memory helps developers build stateful AI applications by providing a managed memory layer for agents. You’ll learn how AI agents can retrieve relevant memories before responding, store durable user preferences over time, and maintain conversational continuity across sessions. We also walk through how to set up Redis Agent Memory in Redis Cloud, so you can integrate it into applications built with frameworks such as LangGraph. Whether you’re building customer support agents, AI copilots, or personalized assistants, Redis Agent Memory provides the infrastructure needed to make AI interactions faster, more contextual, and more useful. Key topics covered - Short-term vs. long-term memory for AI agents - How Redis Agent Memory stores durable user preferences - Injecting memory into LLM prompts - Background memory extraction workflows - Setting up Redis Agent Memory in Redis Cloud - Connecting applications using API keys and store IDs - Building stateful AI applications with LangGraph - Personalized AI experiences powered by Redis Resources & links - Demo app: https://github.com/redis-developer/redis-agent-memory-with-langgraph-demo - Docs: https://redis.io/docs/latest/develop/ai/context-engine/agent-memory/ - Try Redis Cloud free: https://redis.io/cloud/ - Learn more about Redis Iris: https://redis.io/iris/ Have questions? Drop them in the comments — we’re here to help. Subscribe for more Redis content: https://www.youtube.com/@Redisinc?sub_confirmation=1 #Redis #AI #AIAgents #LLM #LangGraph #AgentMemory #RedisCloud #MachineLearning #GenAI About Redis We’re the world’s fastest in-memory database. From our open source origins in 2011 to becoming the #1 cited brand for caching solutions, we’ve helped more than 10,000 customers build, scale, and deploy the apps our world runs on. With cloud and on-prem databases for caching, vector search, and more, Redis helps developers build faster, more responsive AI applications.