AgentSkillsCN

AgentDB Vector Search

配备HNSW向量检索的AgentDB内存系统。

SKILL.md
--- frontmatter
category: Research
id: agentdb-vector-search
name: AgentDB Vector Search
description: AgentDB memory system with HNSW vector search.
  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