🎯

conversation-memory

🎯Skill

from hainamchung/agent-assistant

What it does

Enables persistent, context-aware memory systems for AI conversations, managing short-term, long-term, and entity-based memories with intelligent retrieval.

📦

Part of

hainamchung/agent-assistant(227 items)

conversation-memory

Installation

npm installInstall npm package

npm install -g @namch/agent-assistant

git cloneClone repository

git clone https://github.com/hainamchung/agent-assistant.git

Node.jsRun Node.js server

node cli/install.js install cursor # Cursor

Node.jsRun Node.js server

node cli/install.js install claude # Claude Code

Node.jsRun Node.js server

node cli/install.js install copilot # GitHub Copilot

+ 7 more commands

📖 Extracted from docs: hainamchung/agent-assistant

Need more details? View full documentation on GitHub →

1Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

"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."

Overview

# 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

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