conversation-memory
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
适合你，如果需要在对话中保持长期记忆
npx oh-my-skill add davila7/claude-code-templates/conversation-memorycurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- davila7/claude-code-templates/conversation-memorynpx oh-my-skill verify davila7/claude-code-templates/conversation-memory怎么用
商店整理自技能原文 · 版本 279b978 · 表述以原文为准安装后，Claude 会拥有多层级记忆系统，包括短期、长期和实体记忆。它能自动存储对话中的关键信息，并在后续对话中检索和利用这些记忆。
当用户提及之前讨论过的人、事或要求回忆时，或对话需要持久化信息时触发。
技能原文 SKILL.md
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:
- 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
| Issue | Severity | Solution | |-------|----------|----------| | Memory store grows unbounded, system slows | high | // Implement memory lifecycle management | | Retrieved memories not relevant to current query | high | // Intelligent memory retrieval | | Memories from one user accessible to another | critical | // Strict user isolation in memory |
Related Skills
Works well with: context-window-management, rag-implementation, prompt-caching, llm-npc-dialogue