Agent skill · product strategy · sickn33
conversation-memory
Persistent memory systems for LLM conversations including
Why this skill is useful
Adds a comprehensive memory management system for LLMs, including executable code for memory consolidation and retrieval that enhances conversational 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--20d950