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humanlike-memory类人记忆

Agent Skill

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。

总安装

9,839

周安装

398

GitHub Stars

23

下载量

3,088
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: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

简介

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。

SKILL.md

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.

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。

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按下载量换算2,289

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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。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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