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PythonReactSEOPDF
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 installations selon la source☆ 0 Étoiles du dépôtv1.0.4

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install greatape42069/neverforget

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

🧠 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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/greatape42069/neverforget
Version
1.0.4
Commit
6903c7fcd4d02ec470bd58a195eaa0ecd48bf640
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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