# Memory Management

> > AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.

- Skill: `thedixitjain/memory-management-2` (Agent Skill)
- Install (CLI): `npx skillmds add thedixitjain/memory-management-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/memory-management-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/thedixitjain/memory-management-2

---



# Memory Management Skill

## Purpose
AgentDB memory system with HNSW vector search.

## When to Trigger
- need to store patterns
- search for solutions
- semantic lookup

## When to Skip
- no learning needed
- ephemeral tasks

## Commands

### Store Data
Store a pattern in memory

```bash
npx @claude-flow/cli memory store --key "key" --value "value" --namespace patterns
```

### Search Data
Semantic search in memory

```bash
npx @claude-flow/cli memory search --query "search terms" --limit 10
```



## Best Practices
1. Check memory for existing patterns before starting
2. Use hierarchical topology for coordination
3. Store successful patterns after completion
4. Document any new learnings

---

**Source:** [`ruvnet/ruflo`](https://github.com/ruvnet/ruflo) → `v3/@claude-flow/codex/.agents/skills/memory-management/SKILL.md`