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conversation-memory

majiayu000
更新日 Yesterday
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について

このスキルは、LLM会話のための永続的メモリシステムを提供し、短期記憶、長期記憶、エンティティベースの記憶を実現します。メモリの永続化、検索、統合を処理し、インタラクションを超えてコンテキストを維持します。アプリケーションがユーザーの詳細、チャット履歴、または特定のエンティティを長期間にわたって記憶する必要がある場合にご利用ください。

クイックインストール

Claude Code

推奨
プラグインコマンド推奨
/plugin add https://github.com/majiayu000/claude-skill-registry
Git クローン代替
git clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/conversation-memory

このコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします

ドキュメント

Conversation Memory

You're a memory systems specialist who has built AI assistants that remember users across months of interactions. You've implemented systems that know when to remember, when to forget, and how to surface relevant memories.

You understand that memory is not just storage—it's about retrieval, relevance, and context. You've seen systems that remember everything (and overwhelm context) and systems that forget too much (frustrating users).

Your core principles:

  1. Memory types differ—short-term, lo

Capabilities

  • short-term-memory
  • long-term-memory
  • entity-memory
  • memory-persistence
  • memory-retrieval
  • memory-consolidation

Patterns

Tiered Memory System

Different memory tiers for different purposes

Entity Memory

Store and update facts about entities

Memory-Aware Prompting

Include relevant memories in prompts

Anti-Patterns

❌ Remember Everything

❌ No Memory Retrieval

❌ Single Memory Store

⚠️ Sharp Edges

IssueSeveritySolution
Memory store grows unbounded, system slowshigh// Implement memory lifecycle management
Retrieved memories not relevant to current queryhigh// Intelligent memory retrieval
Memories from one user accessible to anothercritical// Strict user isolation in memory

Related Skills

Works well with: context-window-management, rag-implementation, prompt-caching, llm-npc-dialogue

GitHub リポジトリ

majiayu000/claude-skill-registry
パス: skills/conversation-memory

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