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neverforget

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

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/greatape42069/neverforget
Or

🧠 Skill: neverforget (Ultimate Memory Version 1.0.4)

Now with Pre-Check Logic and Recursive Loop Protection.

šŸ›”ļø 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.

šŸ’” 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"
  ]
}

šŸ›  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
šŸš€ 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 "šŸ“¦ Installing node-llama-cpp..."
    pnpm add node-llama-cpp -w
    pnpm approve-builds
else
    echo "āœ… node-llama-cpp already present."
fi

# Phase 2: System Configuration & Loop Protection
echo "āš™ļø 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 "šŸ’“ Injecting Heartbeat monitor..."
    cat ~/.openclaw/skills/neverforget/HEARTBEAT.md >> ~/.openclaw/workspace/HEARTBEAT.md
else
    echo "āœ… Heartbeat logic already present."
fi

# Phase 4: Final Activation
echo "šŸ”„ 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...

Metadata

Stars2387
Views0
Updated2026-03-09
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-greatape42069-neverforget": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.