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memory-management

Store useful patterns and solutions in AgentDB, then find them through semantic search, which matches meaning rather than exact wording. Use saved knowledge before starting work and record successful approaches and new lessons afterward.

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原文查看原文说明

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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适用场景

  • Saving successful approaches for reuse
  • Finding solutions from past work
  • Searching stored knowledge by meaning

包含的文件(1)

  • SKILL.md922 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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