OpenClaw

neverforget

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

greatape420690 来源安装数☆ 0 仓库 Starsv1.0.4

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install greatape42069/neverforget

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

🧠 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:
"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: Pr...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/greatape42069/neverforget
Version: 1.0.4
Commit: 6903c7fcd4d02ec470bd58a195eaa0ecd48bf640
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# 🧠 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
```bash
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: Pr...

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