Agent Memory
Also called long-term memory, memory stream.
Agent memory is the set of mechanisms that let a language-model agent store information beyond a single context window, such as conversation summaries, retrievable records of past events, and reflections, and bring the relevant parts back into context later.
Description
Park et al.'s generative agents scored memories by recency, importance, and relevance and periodically synthesized higher-level reflections. MemGPT treated the context window like main memory and paged information in and out of external storage.
Sources
- Park et al. (2023). Generative Agents: Interactive Simulacra of Human Behavior.
- Packer et al. (2023). MemGPT: Towards LLMs as Operating Systems.
Cite this entry
Protologue. (2026). Agent Memory. In Protologue: A Taxonomy of Prompting and LLM Techniques (v1.0.0, PTL-0071). https://protologue.com/t/agent-memory/
BibTeX
@misc{protologue_agent_memory,
title = {Agent Memory},
author = {{Protologue}},
year = {2026},
howpublished = {Protologue: A Taxonomy of Prompting and LLM Techniques, v1.0.0},
note = {Entry PTL-0071},
url = {https://protologue.com/t/agent-memory/}
}