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Agent Skill · 研究检索

install-powermem-memory-full(安装 powermem 内存已满)

install-powermem-memory-full 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。

install-powermem-memory-full 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 24,273。

总安装 4,056周安装 169GitHub Stars 公开资料未说明下载 1,352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
0.3.0

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:install-powermem-memory-full(安装 powermem 内存已满)
来源仓库:https://github.com/teingi/install-powermem-memory-full
安装命令:
openclaw skills install install-powermem-memory-full
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 install-powermem-memory-full

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。

提供 PowerMem 长期内存插件的全量安装指导文档。涵盖高级配置选项与深度集成方法说明。install-powermem-memory-full 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合复杂记忆管理需求的开发调试阶段使用。需理解配置文件结构与变量作用域规则。建议配合日志监控验证数据持久化效果。

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 install-powermem-memory-full;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

install-powermem-memory-full 怎么安装?

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

install-powermem-memory-full 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。

install-powermem-memory-full 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。

install-powermem-memory-full 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。

install-powermem-memory-full 用的人多吗?

公开数据是累计安装 4,056 次,近一周安装 169 次,下载 1,352 次。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。

install-powermem-memory-full 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
install-powermem-memory-full

安装 powermem 内存已满 · 本页

4,056—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
install-powermem-memory
description
Step-by-step guide to install and configure the PowerMem long-term memory plugin (full path, options, troubleshooting). After setup, the plugin auto-captures conversation highlights and auto-recalls relevant memories. This skill is self-contained and can be published independently of any minimal-install skill.
triggers

PowerMem Memory Guide

This skill folder includes supplementary docs:

  • powermem-intro.md — What PowerMem is, features, vs file-based memory.
  • config-reference.md — Config keys, state dir, commands.

How It Works

  • Auto-Capture: After a conversation, the plugin sends valuable user/assistant text to PowerMem (optional infer / intelligent extraction).
  • Auto-Recall: Before each turn, it searches memories and can inject a <relevant-memories> block into context.

When User Asks to Install

Recommended order (TO C): (1) OpenClaw installed and default model + provider auth configured. (2) Python 3.10+ verified (python3 --version) *before* venv / pip install. (3) pip install powermem and pmem available to the gateway (PATH or pmemPath). (4) Install the memory-powermem plugin. No powermem.env is required for the default path.

The curl install.sh deploys the plugin and OpenClaw entries; with -y it may still create ~/.openclaw/powermem/powermem.env as an *optional* template—it does not run pip install powermem. That file is not required if the user relies on OpenClaw-injected LLM + default SQLite.

  1. Check OpenClaw

openclaw --version. If missing: npm install -g openclaw, openclaw onboard. Ensure agents.defaults.model is set (e.g. openai/gpt-4o-mini) and the corresponding provider / API key works for normal chat—the plugin reuses that for PowerMem when useOpenClawModel is true (default).

  1. Check Python (required before venv / pip)

PowerMem needs Python 3.10 or newer. Run python3 --version first; the minor version must be ≥ 10 (e.g. 3.10.x, 3.12.x). Optional strict check:

   python3 -c "import sys; assert sys.version_info >= (3, 10), 'Need Python 3.10+'; print(sys.version.split()[0], 'OK')"

If it fails: upgrade Python or use a specific binary (e.g. python3.12) for all commands below instead of python3.

  1. Install PowerMem (CLI — default)

- Venv recommended: e.g. python3 -m venv ~/.openclaw/powermem/.venv && source ~/.openclaw/powermem/.venv/bin/activate. - pip install powermem. - Defaults: Plugin injects SQLite at <OpenClaw stateDir>/powermem/data/powermem.db and LLM + embedding env vars derived from OpenClaw. Typical stateDir is ~/.openclaw unless the user uses another instance (OPENCLAW_STATE_DIR, --workdir). - Optional envFile: Path to a PowerMem .env for extra tuning. If the file exists, pmem loads it; OpenClaw-derived vars still override the same keys when useOpenClawModel is true. - useOpenClawModel: false: Disables injection; user must supply a complete PowerMem config via .env and/or environment variables. - Verify: pmem --version. If the gateway does not inherit the venv, set pmemPath to the absolute path of pmem.

  1. HTTP path (enterprise / shared server)

- Same Python 3.10+ requirement as CLI; then pip install powermem, .env in server working directory, powermem-server --host 0.0.0.0 --port 8000. - Check: curl -s http://localhost:8000/api/v1/system/health.

  1. Install the plugin

openclaw plugins install /path/to/memory-powermem, or install.sh from INSTALL.md.

  1. Configure OpenClaw

CLI — minimal (recommended, matches plugin defaults): Do not set envFile unless you need a file. Example:

   openclaw config set plugins.enabled true
   openclaw config set plugins.slots.memory memory-powermem
   openclaw config set plugins.entries.memory-powermem.config.mode cli
   openclaw config set plugins.entries.memory-powermem.config.pmemPath pmem
   openclaw config set plugins.entries.memory-powermem.config.useOpenClawModel true --json
   openclaw config set plugins.entries.memory-powermem.config.autoCapture true --json
   openclaw config set plugins.entries.memory-powermem.config.autoRecall true --json
   openclaw config set plugins.entries.memory-powermem.config.inferOnAdd true --json

CLI — optional .env override file:

   openclaw config set plugins.entries.memory-powermem.config.envFile "$HOME/.openclaw/powermem/powermem.env"

(Only matters if that path exists; OpenClaw can still override LLM keys when useOpenClawModel is true.)

HTTP:

   openclaw config set plugins.entries.memory-powermem.config.mode http
   openclaw config set plugins.entries.memory-powermem.config.baseUrl http://localhost:8000

Optional: apiKey if the server uses auth.

  1. Verify

Restart gateway, then in another terminal:

   openclaw plugins list

Confirm memory-powermem is listed and its status is loaded. If it is missing or not loaded, fix install/slot config and restart the gateway before running LTM checks.

   openclaw ltm health
   openclaw ltm add "I prefer coffee in the morning"
   openclaw ltm search "coffee"

Available Tools

ToolDescription
memory_recallSearch long-term memories. Params: query, optional limit, scoreThreshold.
memory_storeSave text; optional infer. Params: text, optional importance.
memory_forgetDelete by memoryId or by query search.

Configuration (summary)

FieldDefaultDescription
modeclicli or http.
baseUrl—Required for HTTP; if mode omitted and baseUrl set → HTTP.
apiKey—HTTP server auth.
envFile—Optional CLI .env (used only if file exists).
pmemPathpmemCLI binary path.
useOpenClawModeltrueInject LLM/embedding from OpenClaw + default SQLite under state dir.
recallLimit5Max memories per recall.
recallScoreThreshold0Min score 0–1.
autoCapture / autoRecall / inferOnAddtrueAuto memory pipeline and infer on add.

Daily Operations

openclaw gateway

openclaw ltm health
openclaw ltm add "Some fact to remember"
openclaw ltm search "query"

openclaw config set plugins.slots.memory none
openclaw config set plugins.slots.memory memory-powermem

Restart the gateway after slot or plugin config changes.

Troubleshooting

SymptomFix
Python < 3.10Run step 2 first; upgrade Python or use python3.11 / python3.12 for venv and pip install. Do not skip the version check.
pip install powermem failsConfirm Python 3.10+, clean venv. See PowerMem issues.
pmem not foundActivate venv or set pmemPath to the full binary.
openclaw ltm health unhealthy (CLI)Confirm agents.defaults.model and provider keys in OpenClaw; gateway version should expose plugin config + runtime.modelAuth. Or set useOpenClawModel: false and a full envFile.
Health OK but add/search errorsEmbedding/LLM mismatch for your provider—see gateway logs; try optional PowerMem .env from .env.example.
Wrong SQLite file / instanceData is under that OpenClaw instance’s stateDir (OPENCLAW_STATE_DIR / --workdir).
HTTP modeServer running, baseUrl correct, apiKey if enabled.
openclaw plugins list: no memory-powermem, or status is not loadedRe-run plugin install; set plugins.enabled true and plugins.slots.memory = memory-powermem; restart gateway; run openclaw plugins list again until memory-powermem shows loaded.

平台分布

OpenClaw

98.01%
按下载量换算1,325

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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