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memory-systems

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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: memory-systems
description: "Production AI memory framework comparison and implementation guide. Covers Mem0, Zep/Graphiti, Letta, LangMem, Cognee with benchmark data (DMR accuracy, LoCoMo scores). Includes memory layer design (working, short-term, long-term, entity, temporal KG) and retrieval strategies. Use when: agent memory, memory systems, persistent memory, knowledge graphs, memory framework selection."
---

# Memory System Design

Memory provides the persistence layer that allows agents to maintain continuity across sessions and reason over accumulated knowledge. Simple agents rely entirely on context for memory, losing all state when sessions end. Sophisticated agents implement layered memory architectures that balance immediate context needs with long-term knowledge retention. The evolution from vector stores to knowledge graphs to temporal knowledge graphs represents increasing investment in structured memory for improved retrieval and reasoning.

## When to Activate

Activate this skill when:
- Building agents that must persist knowledge across sessions
- Choosing between memory frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee)
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