Memory shapes how humans think and how AI agents act. Without it, an agent only responds to the current input; with it, it can keep context, recall past actions, and reuse useful knowledge.

AI memory spans short-term, episodic, semantic, and long-term memory, each with different design trade-offs around storage, retention, retrieval, and control. In this article, we’ll explore agent memory patterns, a practical bridge between cognitive science and AI engineering.

Table of contents

What Agent Memory Means

Memory Types: From Cognitive Science to AI Agents

Agent Memory Architecture and Data Flow

Hands-on: Building Agent Memory with LangGraph in Google Colab Demo 1: Short-Term Memory

Demo 2: Episodic Memory

Demo 3: Semantic Memory

Inspect Semantic Memory

Choosing the Right Storage Backend

Security, Privacy, and Governance

Conclusion

Frequently Asked Questions

What Agent Memory Means

Agent memory is the ability of an AI agent to store information, recall it later, and use it to improve future…