Agent skill · writing content · sickn33
conversation-memory
Persistent memory systems for LLM conversations including
Why this skill is useful
Adds a comprehensive memory management system with executable code for LLMs that enhances conversation capabilities.
What it needs
Requires redis installed locally. About 6k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
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 Skillsrecommended: context-window-management, rag-implementation Scope Doesnotcover: Knowledge graph construction, Semantic search implementation, Database administration Boundaries: Focus is memory patterns for LLMs, Covers storage and retrieval strategies Ecosystem Primarytools 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 Entity Memory Store and update facts about entities When to use: Need to remember details about people, places, things Memory-Aware Prompting Include relevant memories in prompts When to use: Making LLM calls with memory context Sharp Edges Memory store grows unbounded, system slows Severity: HIGH Situation: System slows over time, costs increase Symptoms: Slow memory retrieval High storage costs Increasing latency over time Why this breaks: Every message stored as memory. No cleanup or consolidation. Retrieval over millions of items. Recommended fix: Retrieved memories not relevant to current query Severity: HIGH Situation: Memories included in context but don't help Symptoms: Memories in context seem random User asks about things already in memory Confusion from irrelevant context Why this breaks: Simple keyword matching. No relevance scoring. Including all retrieved memories. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/conversation-memory--009b50