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.
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---
name: memory-management
description: >
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.
---
# 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
