Development

Conversation Memory

Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.

Authordavila7

Version1.0.0

LicenseMIT

Token count~440

UpdatedMay 27, 2026

Install

Quick install

via npx skills · works with 57+ agents

npx skills add https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/conversation-memory

Or pick agent:

npx skills add davila7/claude-code-templates --skill conversation-memory --agent claude-code

npx skills add davila7/claude-code-templates --skill conversation-memory --agent cursor

npx skills add davila7/claude-code-templates --skill conversation-memory --agent codex

npx skills add davila7/claude-code-templates --skill conversation-memory --agent opencode

npx skills add davila7/claude-code-templates --skill conversation-memory --agent github-copilot

npx skills add davila7/claude-code-templates --skill conversation-memory --agent windsurf

More install options

Shorthand — useful for multi-skill repos:

npx skills add davila7/claude-code-templates --skill conversation-memory

Manual — clone the repo and drop the folder into your agent's skills directory:

git clone https://github.com/davila7/claude-code-templates.git

cp -r claude-code-templates/cli-tool/components/skills/ai-research/conversation-memory ~/.claude/skills/

How to use: Once installed, ask your agent to "use the conversation-memory skill" or describe what you want (e.g. "Persistent memory systems for LLM conversations including short-term, long-term,"). Requires Node.js 18+.

Conversation 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

SKILL.md source

---
name: conversation-memory
description: Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
---

# Conversation 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:
1. 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`

Development