About conversation-memory
A skill guide for building AI assistants that retain context across conversations. It focuses on memory storage, retrieval, relevance, and lifecycle management, including user isolation.
Key features
- 01Short- and long-term memory
- 02Entity fact storage and updates
- 03Memory retrieval and consolidation
- 04Adding relevant memories to prompts
Use cases
- 01Designing memory for assistants used over months
- 02Retrieving memories relevant to a query
- 03Managing memory growth and isolating user data
Install
Copy the command and run it in a terminal.
npx skills add https:/After installing, type/conversation-memoryin Claude Code to confirm it loaded.
Details
From the project READMEConversation 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