Memory and context

OpenSearch provides intelligent memory and context management systems that enable AI agents to maintain persistent knowledge and conversation context across sessions.

Memory systems

OpenSearch offers two complementary memory approaches:

• Agentic memory: An intelligent memory system that uses large language models (LLMs) to extract insights, learn user preferences, and maintain contextual knowledge across agent interactions.

• Context management: A structured approach to managing conversation context and system state for AI agents and applications.

Related APIs

For programmatic access to memory and context features, see:

• Agentic Memory APIs: Complete API reference for managing memory containers, sessions, and memories.
• Context Management APIs: API reference for creating and managing conversation contexts.