Agent skill · AI & Agents

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.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill antigravity-conversation-memory-boisenoise-skills-collections-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/ai-llm/antigravity-conversation-memory-boisenoise-skills-collections-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 | // Intel

What's inside
Steps it walks through
  1. Capabilities
  2. Patterns
  3. Tiered Memory System
  4. Entity Memory
  5. Memory-Aware Prompting
  6. Anti-Patterns
  7. ❌ Remember Everything
  8. ❌ No Memory Retrieval
  9. ❌ Single Memory Store
  10. ⚠️ Sharp Edges
  11. Related Skills
Ships with 1 file
  • metadata.json
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About this skill
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 it?

Run `npx skills add majiayu000/claude-skill-registry --skill antigravity-conversation-memory-boisenoise-skills-collections-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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