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Agent Skill · 研究检索

humanlike-memory(类人记忆)

humanlike-memory 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。

humanlike-memory 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 12,942。

总安装 9,839周安装 398GitHub Stars 23下载 3,088核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.12

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:humanlike-memory(类人记忆)
来源仓库:https://github.com/humanlike2026/humanlike-memory
安装命令:
openclaw skills install humanlike-memory
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 humanlike-memory

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

humanlike-memory 是一种持久性 AI 代理记忆系统,用于长期存储和检索事实、偏好等信息。适合在 OpenClaw 中需要 Agent 具备持续学习、记忆调用的研究检索场景。支持记忆搜索、保存与调用,提升代理对历史信息的利用效率。使用前需确认存储路径、权限设置及数据安全机制,避免信息泄露或丢失。

建议在部署前评估资源占用情况,确保不影响主流程性能。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install humanlike-memory;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

humanlike-memory 怎么安装?

在终端执行 openclaw skills install humanlike-memory。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

humanlike-memory 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

humanlike-memory 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

humanlike-memory 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

humanlike-memory 用的人多吗?

公开数据是累计安装 9,839 次,近一周安装 398 次,下载 3,088 次,GitHub 23 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

humanlike-memory 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
humanlike-memory

类人记忆 · 本页

9,83923接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
human-like-memory
description
HumanLike Memory / Human-Like Memory is a persistent AI agent memory system for long-term memory search, recall, and save. It helps agents store facts, preferences, and decisions and keep context across sessions for conversation continuity.
homepage
https://plugin.human-like.me
license
Apache-2.0
user-invocable
true
metadata
{"openclaw":{"emoji":"🧠","homepage":"https://plugin.human-like.me","requires":{"bins":["node"],"config":["skills.entries.human-like-memory.apiKey"]},"primaryEnv":"HUMAN_LIKE_MEM_API_KEY"}}

Human-Like Memory Skill

Persistent AI agent memory system for Human-Like Memory.

HumanLike Memory, Human-Like Memory, and human like memory all refer to the same skill. It helps agents search long-term memory, recall past context, save durable information, and store facts, preferences, and decisions across sessions.

Search Aliases

  • HumanLike Memory
  • Human-Like Memory
  • human like memory
  • agent memory
  • long-term memory
  • memory recall
  • memory search
  • memory save
  • conversation continuity

This skill supports both:

  • Agent-triggered recall and save when the model judges memory is useful
  • Explicit user invocation when the user directly asks to recall or store memory

This skill is intentionally not always-on:

  • It should not recall on every turn by default
  • It should not silently save every conversation turn by default
  • It does not read ~/.openclaw/secrets.json or per-skill config.json
  • It reads configuration from OpenClaw config or injected environment variables only

If you want always-on automatic recall/storage, use the Human-Like Memory plugin instead of this skill.

Data And Network Disclosure

When the agent or user invokes this skill:

  • recall / search sends your query, user_id, and agent_id to https://plugin.human-like.me or your configured base URL
  • save / save-batch sends the conversation content you explicitly pass to the same service
  • No local files, shell history, or unrelated environment variables are read or uploaded
  • The runtime reads only the documented allowlisted HUMAN_LIKE_MEM_* environment variables

Use When

  • You want to explicitly search past memory
  • You want to explicitly save a user fact, decision, preference, or summary
  • The agent needs past context to answer well
  • The agent should save a durable preference, decision, correction, or summary

Do Not Use When

  • You want every-turn automatic recall or hook-level background saving
  • You need hidden or silent network activity
  • You want zero remote data transfer

Setup

1. Get API Key

Visit plugin.human-like.me and copy your mp_xxx key.

2. Configure Through OpenClaw

openclaw config set skills.entries.human-like-memory.enabled true --strict-json
openclaw config set skills.entries.human-like-memory.apiKey "mp_your_key_here"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_BASE_URL "https://plugin.human-like.me"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_USER_ID "openclaw-user"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_AGENT_ID "main"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_RECALL_ENABLED "true"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_AUTO_SAVE_ENABLED "true"
openclaw config set skills.entries.human-like-memory.env.HUMAN_LIKE_MEM_SAVE_TRIGGER_TURNS "5"

If the user explicitly gives the API key in the current environment, the agent may run these openclaw config set commands on the user's behalf. Otherwise, do not invent or request a secret implicitly.

3. Verify

node {baseDir}/scripts/memory.mjs config

Expected output includes:

{
  "apiKeyConfigured": true
}

Commands

Recall Or Search Memory

node {baseDir}/scripts/memory.mjs recall "<query>"
node {baseDir}/scripts/memory.mjs search "<query>"

Save One Turn

node {baseDir}/scripts/memory.mjs save "<user_message>" "<assistant_response>"

Save A Batch

echo '[{"role":"user","content":"..."},{"role":"assistant","content":"..."}]' | node {baseDir}/scripts/memory.mjs save-batch

Inspect Runtime Configuration

node {baseDir}/scripts/memory.mjs config

Agent Invocation Style

This skill may be called by the agent when memory is clearly useful.

Recommended behavior:

  • Use recall / search when the user references prior work, prior preferences, prior decisions, or asks to continue something from earlier
  • Use save when the user explicitly asks to remember something, corrects identity details, states a stable preference, or confirms an important decision
  • Use save-batch after a meaningful multi-turn discussion if HUMAN_LIKE_MEM_AUTO_SAVE_ENABLED=true and the current conversation has accumulated roughly HUMAN_LIKE_MEM_SAVE_TRIGGER_TURNS turns
  • Do not call memory APIs for simple greetings or generic single-turn questions with no continuity value

This gives the agent autonomy, but keeps the skill in a smart-trigger mode instead of an always-on mode.

For practical examples, memory taxonomy, and extended guidance, see README.md and SECURITY.md.

平台分布

OpenClaw

74.14%
按下载量换算2,289

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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