A local file-based archiving system designed to structure AI memory, logs, and knowledge into a searchable four-layer directory.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install file-archive-system
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 file-archive-system 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 File Archive System?
The File Archive System is a specialized tool within the Openclaw Skills ecosystem designed to transform how AI agents store and retrieve information. Instead of scattered data, it organizes habits, preferences, schedules, and long-term knowledge into a structured four-layer memory directory. By utilizing a local-first approach, it ensures that your AI's personal context remains private, portable, and easily indexed for rapid retrieval.
This skill is essential for users who want to maintain a consistent identity and memory across different AI sessions. By saving data to a standardized local structure, it bridges the gap between temporary chat logs and a permanent, searchable knowledge base, all while remaining compatible with existing file synchronization tools.
File Archive System Use Cases
- Archiving daily AI interaction logs into a structured short-term memory folder.
- Maintaining a consistent identity and preference file for personalized AI responses.
- Categorizing long-term research and knowledge into a multi-tiered directory for future reference.
- Synchronizing AI memory across multiple devices using local-first sync tools like Git or Syncthing.
How File Archive System Works
- Initialize the memory directory structure to establish the core hierarchy (identity, working, short-term, and long-term layers).
- Record AI interactions, preferences, and tasks into their respective subdirectories as they occur.
- Run the reindexing script to update the index.json file, enabling fast search and retrieval across the entire archive.
- Execute the archive command periodically to move older logs into cold storage while maintaining a clean active workspace.
- Sync the local directory across your devices using preferred cloud or P2P synchronization methods.
File Archive System Setup
To get started with this component of Openclaw Skills, initialize your local memory repository using the following commands:
# Initialize the memory directory structure
python3 scripts/personal_ai_memory.py init
# Rebuild the searchable index
python3 scripts/personal_ai_memory.py reindex
# Cleanup old logs (keep last 14 days)
python3 scripts/personal_ai_memory.py archive --keep-days 14
File Archive System Data Schema & Taxonomy
The system organizes data into a strictly defined directory structure to ensure compatibility across Openclaw Skills integrations:
| Directory | Purpose |
|---|---|
identity/ |
Stores core persona, user preferences, and behavioral instructions. |
working-memory/ |
Contains active tasks, current goals, and ongoing context. |
short-term-logs/ |
Daily records and recent interaction transcripts. |
long-term-memory/ |
Structured knowledge, permanent facts, and learned insights. |
archive/ |
Compressed or historical data moved out of active rotation. |
index.json |
A master manifest for fast metadata-based searching. |
File Archive System Advanced Features
- Automated reindexing for seamless integration with external search tools.
- Configurable retention policies to manage disk space and data relevance.
- Local-first architecture compatible with iCloud Drive, Syncthing, and Git-based version control.
- Multi-layer memory taxonomy designed for high-performance retrieval in AI agent workflows.
SKILL.md
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