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SkillsContext EngineeringMemory Systems
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Memory Systems

by muratcankoylan•Context Engineering

Designing memory systems for agents including working memory, long-term storage, and retrieval strategies

1,680downloads
215stars
~640tokens

Quick Install

One command to add this skill

Terminal
$ mkdir -p ~/.claude/skills/context-engineering && curl -L https://raw.githubusercontent.com/muratcankoylan/Agent-Skills-for-Context-Engineering/main/skills/memory-systems/SKILL.md > ~/.claude/skills/context-engineering/memory-systems-SKILL.md

Instructions

SKILL.md

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Prerequisites

  • Context Fundamentals

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1 permission required

  • No network access required
  • Can modify files on disk
  • No shell command execution

Details

Published
2026/01/10
Language
markdown
Token Est.
~640

Resources

  • GitHub Repository

Tags

memorysystemsstorageretrievalragembedding
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Memory Systems for Agents

Designing effective memory architectures for agent systems.

Memory Types

Working Memory

  • Current context window
  • Active task state
  • Recent interactions

Long-Term Memory

  • Vector databases
  • Knowledge graphs
  • Structured storage

Episodic Memory

  • Session history
  • User preferences
  • Past interactions

Retrieval Strategies

  • Semantic search
  • Temporal relevance
  • Priority-based recall