A privacy-centric local memory system for AI agents that utilizes semantic search and versioned Git storage to maintain context without cloud dependency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install secure-memory-stack
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install secure-memory-stack using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Secure Memory Stack?
The Secure Memory Stack is a specialized solution within the Openclaw Skills ecosystem designed for users who require absolute data sovereignty. It provides a robust framework for local memory management, combining the power of Baidu Embedding for semantic retrieval with the reliability of Git Notes for structured, versioned storage.
This skill enables developers and power users to build a persistent knowledge base for their AI agents that lives entirely on their local hardware. By keeping all data offline and offering zero-upload privacy, it bridges the gap between high-performance AI context and strict security requirements.
Secure Memory Stack Use Cases
- Storing sensitive architectural decisions and project context locally.
- Building a cross-session long-term memory for AI agents without using cloud-based vector databases.
- Creating an automated, version-controlled daily log of AI interactions.
- Organizing personal knowledge using a hybrid semantic and tag-based search system.
How Secure Memory Stack Works
- The system initializes a local workspace under the clawd directory to house memory files.
- Users configure local or API-based embedding services to enable semantic similarity searching.
- Content is ingested via CLI commands, which automatically tag and categorize the data into daily logs or long-term files.
- The system leverages Git Notes to attach metadata and structure to memory entries without cluttering raw text files.
- During retrieval, the skill performs a hybrid search across semantics, keywords, and metadata to provide the most relevant context to the agent.
Secure Memory Stack Setup
To get started with this skill from the Openclaw Skills collection, follow these steps:
# Install the skill package
clawdhub install secure-memory-stack
# Run the automated setup script
bash /root/clawd/create/secure-memory-stack/scripts/setup.sh
# Initialize the memory environment
secure-memory setup
Secure Memory Stack Data Schema & Taxonomy
The Secure Memory Stack organizes data into a transparent, file-based hierarchy to ensure ease of backup and manual editing.
| File/Path | Purpose | Storage Type |
|---|---|---|
MEMORY.md |
Long-term core knowledge and preferences | Markdown |
SESSION-STATE.md |
Short-term active workspace context | Markdown |
/memory/YYYY-MM-DD.md |
Daily interaction logs and snapshots | Time-series Markdown |
/notes/ |
Categorized knowledge (Projects, Areas, Resources) | Directory Structure |
memory_config.json |
System configuration and API states | JSON |
Secure Memory Stack Advanced Features
- Hybrid retrieval engine supporting semantic similarity, tag-based filtering, and importance-weighted search.
- Built-in diagnostic tools (
secure-memory diagnose) for self-healing file permissions and Git configurations. - Version-controlled memory snapshots via Git integration, allowing for context rollbacks.
- Advanced export and backup utilities to migrate local memory across different environments.
- Support for custom metadata fields and importance ratings to prioritize critical information during AI context injection.
SKILL.md
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