conversation-memory
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory
Profile →npx skills add sickn33/agentic-awesome-skills --skill conversation-memory --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Conversation Memory Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory ## Capabilities - short-term-memory - long-term-memory - entity-memory - memory-persistence - memory-retrieval - memory-consolidation ## Prerequisites - Knowledge: LLM conversation patterns, Database basics, Key-value stores - Skills_recommended: context-window-management, rag-implementation ## Scope - Does_not_cover: Knowledge graph construction, Semantic search implementation, Database administration - Boundaries: Focus is memory patterns for LLMs, Covers storage and retrieval strategies ## Ecosystem ### Primary_tools - Mem0 - Memory layer for AI applications - LangChain Memory - Memory utilities in LangChain - Redis - In-memory data store for session memory ## Patterns ### Tiered Memory System Different memory tiers for different purposes **When to use**: Building any conversational AI interface MemorySystem { // Buffer: Current conversation (in context) buffer: ConversationBuffer; // Short-term: Recent interactions (session) shortTerm: ShortTermMemory; // Long-term: Persistent across sessions longTerm: LongTermMemory; // Entity: Facts about people, plac
- Capabilities
- Prerequisites
- Scope
- Ecosystem
- Primarytools
- Patterns
- Tiered Memory System
- Entity Memory
- Memory-Aware Prompting
- User Context
- Recent Conversation
- Current Query
- Sharp Edges
- Memory store grows unbounded, system slows
What does the conversation-memory skill do?
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory
How do I install it?
Run `npx skills add sickn33/agentic-awesome-skills --skill conversation-memory --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.