Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...
Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Now with Pre-Check Logic and Recursive Loop Protection.
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. π‘ 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" ] }
cd ~/openclaw pnpm add node-llama-cpp -w pnpm approve-builds Step 2: Enable the Memory Plugin Bash openclaw plugin enable memory-core π 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 "π¦ Installing node-llama-cpp..." pnpm add node-llama-cpp -w pnpm approve-builds else echo "β node-llama-cpp already present." fi # Phase 2: System Configuration & Loop Protection echo "βοΈ 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 "π Injecting Heartbeat monitor..." cat ~/.openclaw/skills/neverforget/HEARTBEAT.md >> ~/.openclaw/workspace/HEARTBEAT.md else echo "β Heartbeat logic already present." fi # Phase 4: Final Activation echo "π 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 "π§ Starting initial index of sandboxed environment..." openclaw memory index else echo "β Memory active with ${CHUNK_COUNT} chunks." fi --- ### πΎ Final Summary of the 1.0.3 Memory Stack: π‘οΈ 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.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
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