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Memory Systems

Skill Verifiziert Aktiv

Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).

Zweck

Guides the design and implementation of agent memory systems, helping users choose appropriate frameworks and architectures for persisting knowledge across sessions.

Funktionen

  • Guides agent memory system implementation
  • Compares production memory frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee)
  • Designs persistence architectures for cross-session knowledge retention
  • Details memory layers and retrieval strategies
  • Provides practical integration examples and benchmarks

Anwendungsfälle

  • Building agents that must persist knowledge across sessions
  • Choosing between memory frameworks
  • Maintaining entity consistency across conversations
  • Designing memory architectures that scale in production

Nicht-Ziele

  • Implementing specific LLM models for embedding
  • Providing a runtime for memory systems
  • General prompt engineering beyond memory context

Trust

  • info:Issues AttentionIn the last 90 days, 6 issues were opened and 2 were closed, indicating a slow response rate to new issues.

Installation

Zuerst Marketplace hinzufügen

/plugin marketplace add muratcankoylan/Agent-Skills-for-Context-Engineering
/plugin install Agent-Skills-for-Context-Engineering@context-engineering-marketplace

Qualitätspunktzahl

Verifiziert
97 /100
Analysiert about 18 hours ago

Vertrauenssignale

Letzter Commitabout 1 month ago
Sterne15.6k
LizenzMIT
Status
Quellcode ansehen