Exploring Memory in Large Language Models:

This paper presents a thorough survey of the evolving capabilities of memory mechanisms in large language model (LLM)-based agents. These agents, by leveraging memory, enable enhanced interaction and learning over time, making them increasingly capable of addressing complex, real-world problems. A repository with ongoing updates on this topic can be found on GitHub.

Highlights:

• What does memory mean for LLM-based agents and why is it crucial?

• Detailed comparison of existing memory mechanisms.

• How memory enhancements benefit agent applications and interactions.

• Identification of gaps and future research opportunities in LLM memory systems.

Importance:

The in-depth analysis of memory mechanisms in LLM agents helps in understand…