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memory-search记忆搜索

Agent Skill

memory-search 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

94,656

周安装

3,944

GitHub Stars

4

下载量

31,552
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:memory-search(记忆搜索)
来源仓库:https://github.com/aigentic-net/memory-search
安装命令:
openclaw skills install memory-search
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install memory-search

简介

memory-search 结合语义查询与文件读取,精准检索索引内存中的信息。

  • 适用于 OpenClaw 中需要跨文件关联分析与深度上下文提取的任务。
  • 通过 clawhub 安装后,支持正则表达式与关键词组合查询。
  • 安装命令:openclaw skills install memory-search;需确保目标文件可读且格式兼容。
  • 建议审查搜索结果相关性过滤机制的有效性。

SKILL.md

Memory Search

You have two tools for recalling information from your memory files. Use them.

Tools

memory_search

Semantic vector search across your indexed memory files (MEMORY.md, memory/*.md, and session transcripts).

Parameters:

ParamTypeRequiredDescription
querystringyesNatural language question or topic to search for
maxResultsnumbernoMax results to return (default: 6)
minScorenumbernoMinimum relevance score threshold (0-1)

Example calls:

{ "query": "what projects is the human working on" }
{ "query": "preferences about code style", "maxResults": 3 }
{ "query": "important dates birthdays deadlines", "maxResults": 10, "minScore": 0.3 }

Returns: Array of results, each with:

  • snippet — the matching text chunk
  • path — relative file path (e.g. MEMORY.md, memory/2026-02-07.md)
  • startLine / endLine — line range in the source file
  • score — relevance score
  • citation — formatted source reference (in direct chats)

memory_get

Read a specific section of a memory file by path and line range. Use this after memory_search to pull more context around a result.

Parameters:

ParamTypeRequiredDescription
pathstringyesRelative path from workspace (e.g. MEMORY.md, memory/2026-02-07.md)
fromnumbernoStarting line number
linesnumbernoNumber of lines to read

Example calls:

{ "path": "MEMORY.md" }
{ "path": "memory/2026-02-07.md", "from": 15, "lines": 30 }

When to Use Memory Search

Always search before answering about:

  • Prior conversations or decisions
  • The human's preferences, habits, or opinions
  • Dates, deadlines, birthdays, events
  • Project status or history
  • Anything the human said "remember this" about
  • Todos, action items, or commitments
  • People, names, relationships

The pattern is:

  1. Receive a question that might involve past context
  2. Call memory_search with a relevant query
  3. Review the results
  4. If a snippet looks promising but needs more context, call memory_get with the path and line range
  5. Answer using what you found (cite sources in direct chats)

When NOT to Use

  • Purely factual questions with no personal context ("what is Python?")
  • The human explicitly gives you all the context you need in the message
  • You just searched and the results are still in your context

Tips

  • Be specific in queries. "birthday" works better than "important information about the human."
  • Search multiple angles. If one query returns nothing useful, try rephrasing. "project deadlines" and "what's due soon" might return different results.
  • Don't over-fetch. Start with default maxResults. Only increase if you need more coverage.
  • Use memory_get sparingly. The search snippets are usually enough. Only pull full sections when you need surrounding context.
  • Say when you checked. If you searched and found nothing, tell the human: "I checked my memory and didn't find anything about that." Don't silently guess.

What Gets Indexed

Your memory search covers:

  • MEMORY.md — your curated long-term memory
  • memory/*.md — daily notes and raw logs
  • Session transcripts (if enabled)

These files are automatically indexed. You don't need to trigger indexing — just write to the files and the system handles the rest.

Do NOT

  • Do NOT try to run shell commands like cat or ls to read memory files. Use memory_search and memory_get.
  • Do NOT try to configure or debug the search system. That's operator config, not your job.
  • Do NOT assume memory is empty without searching first. The index may have content even if the memory/ directory looks sparse.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.76%
按下载量换算22,326

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install memory-search 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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