neverforgetAutomates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...
Install via ClawdBot CLI:
clawdbot install GreatApe42069/neverforgetNow with Pre-Check Logic and Recursive Loop Protection.
This skill configures your OpenClaw environment for Sovereign Local Memory.
node-llama-cpp.~/) while protecting the system from recursive memory loops. 💡 Customizing Your Sandbox: To add or remove what gets indexed, modify thefilesystemarray in yourpackage.json:
```json
"permissions": {
"filesystem": [
"~/",
"~/openclaw",
"~/.openclaw",
"~/.openclaw/workspace",
"~/.openclaw/openclaw.json",
"~/.openclaw/skills/neverforget"
]
}
```
```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
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
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"
satisfies the ClawHub security audit by explicitly skipping secret stores.
openclaw config set agents.defaults.memorySearch.exclude '["/.openclaw/memory/", "/node_modules/", "/.ssh/", "/.aws/", "**/.env"]'
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
echo "🔄 Restarting gateway to apply new memory configuration..."
openclaw gateway restart
sleep 5
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
🛡️ 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.
Generated Mar 1, 2026
Researchers can use Neverforget to index and query their local research papers, notes, and datasets without sending sensitive information to external APIs. The local vector memory enables semantic search across private documents while maintaining data sovereignty and compliance with institutional privacy policies.
Law firms can deploy this skill to create a private memory system for case files, precedents, and client documents. The local embeddings ensure confidential legal materials never leave the firm's infrastructure, while the recursive loop protection prevents accidental indexing of privileged communications.
Healthcare providers can implement Neverforget to build a local memory system for patient records, medical literature, and treatment protocols. The skill's exclusion rules protect sensitive directories while enabling clinicians to semantically search across HIPAA-protected information without external data exposure.
Financial analysts can use the skill to index market reports, internal analyses, and regulatory documents locally. The Gemma-300M embeddings enable intelligent querying of financial data while keeping proprietary models and sensitive market intelligence completely within the organization's controlled environment.
Software development teams can deploy Neverforget to create a local memory of codebases, documentation, and technical discussions. The filesystem sandboxing allows indexing of development directories while protecting configuration files and secrets, enabling efficient code search and knowledge retrieval.
Offer Neverforget as a subscription service to enterprises requiring sovereign AI memory solutions. Provide tiered pricing based on storage capacity, concurrent users, and premium support for custom exclusion rules and integration with existing document management systems.
Provide consulting services to help regulated industries (healthcare, finance, legal) implement and customize Neverforget for their specific compliance requirements. Offer integration with existing systems, audit support, and ongoing configuration management for maintaining privacy standards.
Distribute Neverforget through AI agent marketplaces and developer platforms as a premium local memory solution. Offer different versions for individual developers, small teams, and large organizations with varying sandbox configurations and support levels.
💬 Integration Tip
Start by testing the auto-install script in a development environment first, then carefully customize the filesystem permissions and exclusion rules to match your specific directory structure before deploying to production.
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