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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.

thedixitjain d6b6e6c 1.1 KB Updated 2 repo stars
AI & ML

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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

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

Search Data

Semantic search in memory

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 → v3/@claude-flow/codex/.agents/skills/memory-management/SKILL.md

thedixitjain/the-mega-skill-library/tree/main/library/rag-memory-knowledge/memory-management--ruvnet commit d6b6e6c2aa

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