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Skills/AI & Agent Building
muratcankoylan avatar

Memory Systems

muratcankoylan/agent-skills-for-context-engineering

If you're building agents that need to remember things across sessions, this walks you through the production memory stack: Mem0 for multi-tenant speed…

installs
281
GitHub stars
18.2K
last updated
May 26, 2026
View on GitHubSave

Install

$ npx -y skills add muratcankoylan/agent-skills-for-context-engineering --skill memory-systems --agent claude-code

Installs into .claude/skills of the current project.

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What it does

If you're building agents that need to remember things across sessions, this walks you through the production memory stack: Mem0 for multi-tenant speed, Zep/Graphiti for temporal knowledge graphs, Letta for self-editing memory, Cognee for semantic graphs with customizable pipelines. It includes benchmark comparisons (DMR, LoCoMo, HotPotQA) so you can set realistic expectations, and it's opinionated about starting simple. The core advice is sound: use the filesystem until retrieval breaks, then add vector search, then add graph structure only when you need multi-hop reasoning. The framework comparison table alone saves hours of documentation skimming. Stays in its lane by routing token optimization and compression work to other skills.

Files

Select a file.

Details

Repository
github.com/muratcankoylan/agent-skills-for-context-engineering
Category
AI & Agent Building
License
MIT
First seen
Jun 11, 2026

More from muratcankoylan/agent-skills-for-context-engineering

All 17
  • Tool Design250
  • Context Degradation241
  • Evaluation226
  • Context Fundamentals214
  • Latent Briefing172
  • Project Development163
  • Advanced Evaluation161
  • Harness Engineering157
  • Hosted Agents142
  • Bdi Mental States139
  • Context Engineering Collection
  • Context Engineering Collection4.2K
  • Context Compression443
  • Context Optimization333
  • Filesystem Context325
  • Multi Agent Patterns289

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