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AI agents are transforming how apps interact with users—routing queries, adapting to user needs, and optimizing results autonomously. But for true autonomy, these agents need memory that’s contextual, flexible, and reliable.

Redis makes agentic memory seamless, giving AI agents the power to store and recall system prompts, configurations, and routing rules that guide their behavior. By combining general and fine-tuned LLMs with agentic systems, Redis helps developers to build flexible, production-grade AI apps that deliver accurate responses and unmatched user experiences.

Watch this 15 minute tech talk to see how Redis enhances AI agents with adaptive memory systems.

Key topics

1. Why agentic memory matters for modern AI apps
2. How Redis routes requests across tools, LLMs, and databases
3. Real examples from finance to customer assistants
4. Live demo of Redis storing messages and configs for smarter AI interactions