A sophisticated memory management skill that maintains a lean permanent index while archiving detailed historical logs in a structured two-layer system.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memory-organizer
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 memory-organizer 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 Memory Organizer?
The Memory Organizer is a specialized utility designed to prevent context window bloat in AI agents. It operates on a strict two-layer model that distinguishes between permanent facts and daily historical data. By using this tool within the Openclaw Skills ecosystem, developers can ensure their agents remain fast and focused, loading only the most relevant long-term information during initialization.
This skill automates the process of curating information, ensuring that critical data like user preferences, workspace rules, and durable project configurations are promoted to a central index, while session-specific noise such as debugging transcripts and temporary ideas remains archived in dated files.
Memory Organizer Use Cases
- Reducing startup context and token usage by compressing bloated memory files.
- Cleaning up repetitive or dated memory notes while maintaining a searchable historical audit trail.
- Promoting cross-session todos and stable project rules to a high-priority permanent index.
- Organizing workspace-specific configurations to ensure consistent agent behavior across multiple sessions.
How Memory Organizer Works
- The skill scans the current permanent index and dated daily memory files to identify redundancy and high-value facts.
- It cleans and deduplicates the permanent index to ensure it remains easy for the AI to scan.
- Historical files are compressed in place, preserving details within their original dated files to avoid polluting the global context.
- A decision-engine filters new information, promoting only durable facts that answer 'yes' to long-term stability and immediate relevance.
- The skill restructures the permanent index by topic rather than date to optimize for routine startup loading.
Memory Organizer Setup
To deploy the Memory Organizer within your workspace, ensure you have the standard directory structure initialized. This skill relies on localized file access to manage your Openclaw Skills documentation.
# Ensure your memory directory and primary index exist
mkdir -p memory/
touch MEMORY.md
Once the files are present, the agent can begin the automated promotion and compression workflows.
Memory Organizer Data Schema & Taxonomy
The skill organizes data into a hierarchical structure to optimize retrieval performance:
| File/Path | Description | Data Type |
|---|---|---|
MEMORY.md |
Permanent Index | Long-term facts, preferences, and active rules |
memory/YYYY-MM-DD.md |
Daily Memory | Historical logs, reasoning, and session-specific notes |
Data is promoted from the Daily Layer to the Permanent Layer based on stability, durability, and relevance to future sessions.
Memory Organizer Advanced Features
- Selective promotion workflows that extract concise bullets while skipping verbose daily summaries.
- Topic-based restructuring to keep the permanent index structured by functionality rather than chronology.
- Safety-first file operations with path validation and backup preservation before destructive compression.
- Context-aware deduplication to prevent the accumulation of repeated notes and status checks.
SKILL.md
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