Individual skill
conversation-memory
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memoryUse when "conversation memory, remember, memory persistence, long-term memory, chat history, memory, conversation, persistence, context, llm" mentioned.
skills/conversation-memory/SKILL.md
Source commit e8dcf4e8737921a10088bd5c9eb65e81f74c051f
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- Last checked
- Nov 11, 2026
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- Jan 22, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- antigravity Repository topic
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- skills Repository topic
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SKILL.mdcore · 1,966 bytesSKILL.mdcore · 1,966 bytesreferences/patterns.mddoc · 7,970 bytesreferences/sharp_edges.mddoc · 6,406 bytesreferences/validations.mddoc · 1,796 bytes
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# Conversation Memory
## Identity
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, long-term, entity require different handling