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Conversation Memory skill

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.

$npx skills add davila7/claude-code-templates --skill conversation-memory
GitHub stars
33,273
Pack installs
285k
Alyn Score
73/99
Updated
7 h ago
License
MIT

Install Conversation Memory

Pick your agent. Every command is ready to paste.

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

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads conversation-memory when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the conversation-memory skill”. In Codex, type $conversation-memory.

The skill itself

SKILL.md

GitHub

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

Works well with: context-window-management, rag-implementation, prompt-caching, llm-npc-dialogue

Tips for Conversation Memory

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 40 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Conversation Memory

What does the Conversation Memory skill do?

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.

How do I install Conversation Memory?

Run "npx skills add davila7/claude-code-templates --skill conversation-memory" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Conversation Memory work in Cursor and Codex?

Yes. Conversation Memory uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Conversation Memory free?

Conversation Memory is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Conversation Memory?

Conversation Memory is published by davila7 in the davila7/claude-code-templates repository, together with 39 other skills.

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