Last updated: 2025-05-18
Memory is a foundational aspect of multi-agent systems, shaping how agents understand context, make decisions, and collaborate effectively. This chapter introduces two core memory types in multi-agent systems:
- Short-term Memory (STM): Enables agents to maintain recent context within an active session (also known as conversation history), supporting coherent interaction and task coordination across agents.
- Long-term Memory (LTM): Provides persistence of information across sessions, allowing agents to recall knowledge, preferences, and outcomes over time to provide personalized experiences.
Designing STM and LTM in multi-agent systems brings unique challenges around synchronization, ownership, privacy, and data consistency. The following sections outline key patterns and trade-offs for integrating effective memory into your architecture.
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