# Agent Memory

> 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.

- Identifier: PTL-0071
- Category: Agents & Orchestration
- Canonical URL: https://protologue.com/t/agent-memory/
- Also known as: long-term memory, memory stream

## 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.

## Related terms

- [AI Agent](https://protologue.com/t/ai-agent/)
- [Context Engineering](https://protologue.com/t/context-engineering/)
- [Reflexion](https://protologue.com/t/reflexion/)
- [Retrieval-Augmented Generation](https://protologue.com/t/retrieval-augmented-generation/)

## Sources

- Park et al. (2023). Generative Agents: Interactive Simulacra of Human Behavior. https://arxiv.org/abs/2304.03442
- Packer et al. (2023). MemGPT: Towards LLMs as Operating Systems. https://arxiv.org/abs/2310.08560

## 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/

License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)