Deep dive into the technical architectures that enable AI agents to maintain context, learn from interactions, and build long-term memory.
One of the most critical capabilities for truly autonomous AI agents is the ability to remember past interactions, learn from experience, and maintain context over long periods. This technical session explores the state-of-the-art in agent memory systems.
We'll cover vector databases, episodic memory systems, semantic memory structures, and hybrid approaches. The session includes practical implementation patterns, performance considerations, and how to balance memory persistence with privacy requirements.
Role to be confirmed
Speaker details will be announced closer to the conference date.
Register now to secure your spot at Agentica 2026 and get access to this session and all conference content.