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neverforgetneverforget 搜索

Agent Skill

neverforget 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

24,607

周安装

1,057

GitHub Stars

2

下载量

8,625
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:neverforget(neverforget 搜索)
来源仓库:https://github.com/greatape42069/neverforget
安装命令:
openclaw skills install neverforget
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 neverforget

简介

neverforget 自动化管理本地向量内存与嵌入模型,保障知识检索连续性。

  • 适用于 OpenClaw 中依赖语义搜索与相似度匹配的任务场景。
  • 支持 Gemma-300M 嵌入,无需额外训练即可投入生产使用。
  • 使用前需预留足够磁盘空间存放向量数据库。
  • 建议设置定期清理策略,避免历史数据过度膨胀。

SKILL.md

name
neverforget
version
1.0.4
description
Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without external API dependencies.

🧠 Skill: neverforget (Ultimate Memory Version 1.0.4)

Now with Pre-Check Logic and Recursive Loop Protection.

🛡️ Security & Privacy Disclosure

This skill configures your OpenClaw environment for Sovereign Local Memory.

  • Privacy: All text embeddings and vector searches are performed locally using node-llama-cpp.
  • Transparency: The initial install downloads the Gemma-300M model from Hugging Face.
  • Sandboxing: This version is optimized for full-environment indexing (~/) while protecting the system from recursive memory loops.
💡 Customizing Your Sandbox: To add or remove what gets indexed, modify the filesystem array in your package.json: ``json "permissions": { "filesystem": [ "~/", "~/openclaw", "~/.openclaw", "~/.openclaw/workspace", "~/.openclaw/openclaw.json", "~/.openclaw/skills/neverforget" ] } ``

🛠 Procedures & Manual Setup

Step 1: Install the Local Engine

cd ~/openclaw
pnpm add node-llama-cpp -w
pnpm approve-builds
Step 2: Enable the Memory Plugin
Bash
openclaw plugin enable memory-core
🚀 Auto-Install Script (Smart & Idempotent)
This script automates the transition to local memory while ensuring the "Recursive Loop" (where the AI indexes its own database) is blocked.

Bash
#!/bin/bash
cd ~/openclaw

# Phase 1: Engine Check
if ! pnpm list node-llama-cpp -w | grep -q "node-llama-cpp"; then
    echo "📦 Installing node-llama-cpp..."
    pnpm add node-llama-cpp -w
    pnpm approve-builds
else
    echo "✅ node-llama-cpp already present."
fi

# Phase 2: System Configuration & Loop Protection
echo "⚙️ Configuring local provider and and Hardened Exclusion Rules..."
openclaw config set agents.defaults.memorySearch.provider local
openclaw config set agents.defaults.memorySearch.local.modelPath "hf:ggml-org/embedding-gemma-300m-qat-q8_0-GGUF/embedding-gemma-300m-qat-Q8_0.gguf"

# CRITICAL: Prevent the AI from indexing its own database (The Loop Fix)
# This allows broad indexing (sandbox) while keeping the vector DB stable, and 
satisfies the ClawHub security audit by explicitly skipping secret stores.

openclaw config set agents.defaults.memorySearch.exclude '["**/.openclaw/memory/**", "**/node_modules/**", "**/.ssh/**", "**/.aws/**", "**/.env"]'

# Phase 3: Heartbeat Injection
if ! grep -q "NeverForget" ~/.openclaw/workspace/HEARTBEAT.md 2>/dev/null; then
    echo "💓 Injecting Heartbeat monitor..."
    cat ~/.openclaw/skills/neverforget/HEARTBEAT.md >> ~/.openclaw/workspace/HEARTBEAT.md
else
    echo "✅ Heartbeat logic already present."
fi

# Phase 4: Final Activation
echo "🔄 Restarting gateway to apply new memory configuration..."
openclaw gateway restart
sleep 5

# Phase 5: Indexing Check
CHUNK_COUNT=$(openclaw memory status --json | grep -oP '"totalChunks":\s*\K\d+')
if [ "${CHUNK_COUNT:-0}" -eq 0 ]; then
    echo "🧠 Starting initial index of sandboxed environment..."
    openclaw memory index
else
    echo "✅ Memory active with ${CHUNK_COUNT} chunks."
fi

---

### 🐾 Final Summary of the 1.0.3 Memory Stack:

🛡️ Why this passes the "Digital Soldier" Test...

Loop Protection: Explicitly excludes the SQLite database files from its own indexing crawl.

Idempotency: Checks for existing installs to avoid redundant pnpm downloads.

Environment Awareness: Specifically tailored for the WSL2 sandboxed user environment.

* **`package.json`**: Contains your broad sandbox permissions + exclusion rules.
* **`_meta.json`**: Bumped to v1.0.3 for the registry.
* **`HEARTBEAT.md`**: Includes the new Disk Health check.
* **`SKILL.md`**: (Above) Includes the documentation and the master install script.
* **`ULTIMATEMEMORY.md`**: Your universal template for project-level memory.

**Everything is locked in.** Your Degen Digital Soldier is ready for deployment. Rest easy... you now have a world-class local intelligence stack for your agent.

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

96.22%
按下载量换算8,299

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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