An advanced AI memory system that utilizes iterative compression and lineage tracking to consolidate information and track knowledge evolution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-memory-master-v4
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 openclaw-memory-master-v4 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 OpenClaw Memory Master?
OpenClaw Memory Master is a high-performance memory architecture designed for AI agents, inspired by the Hermes Agent methodology of compression as consolidation. It enables agents to maintain long-term context by iteratively distilling new information into accumulative summaries, effectively solving the challenges of context window limitations. By implementing this within the ecosystem of Openclaw Skills, developers can ensure their agents grow in knowledge while maintaining a clear genealogy of how information has evolved.
This system prioritizes both speed and depth, utilizing incremental detection to only process changed content and an LRU cache to maintain rapid response times. Whether you are building complex workflows or long-term companions, this skill provides the underlying structure needed for sophisticated memory management.
OpenClaw Memory Master Use Cases
- Long-running AI agent sessions requiring persistence of historical context.
- Complex project management where tracking the lineage of decisions and tasks is critical.
- High-performance agent deployments needing sub-50ms memory retrieval latencies.
- Research and analysis tasks where incremental knowledge building is required.
How OpenClaw Memory Master Works
- The system ingests new content and performs incremental detection to identify what has changed.
- New data is merged with existing summaries through an iterative compression cycle to create an accumulative knowledge base.
- Every update is logged via lineage tracking to maintain a complete genealogy chain of the memory.
- Importance scoring and emotional dimension tracking are applied to prioritize critical information.
- Structured data including decisions, tasks, and timelines are extracted for quick retrieval.
- Optimized LRU caching ensures that the most relevant memories are served with minimal latency.
OpenClaw Memory Master Setup
Install the skill directly via the ClawHub CLI or clone the repository for manual configuration:
# Install from ClawHub
clawhub install [email protected]
# Or clone from GitHub
git clone https://github.com/cp3d1455926-svg/memory-master.git
cd memory-master
# Verify the installation by running the test suite
node test-full-suite.js
OpenClaw Memory Master Data Schema & Taxonomy
OpenClaw Memory Master organizes data into a structured format that facilitates both human readability and machine retrieval:
| Component | Description | Data Type |
|---|---|---|
| Iterative Summary | The accumulative distillation of all previous interactions | Markdown String |
| Lineage Chain | A complete genealogy of how the current memory was formed | Array of Objects |
| Metadata | Importance scores, emotional dimensions, and timestamps | JSON Object |
| Cache | High-speed LRU storage for session-active memories | Key-Value Store |
| Timeline | Extracted chronological event sequence | List |
OpenClaw Memory Master Advanced Features
- Iterative Compression: Accumulative summary generation that combines new content with old distillation.
- Lineage Tracking: Full genealogy tracking to audit the history and evolution of any specific memory.
- Incremental Detection: Smart processing that only compresses modified content to save compute resources.
- Parallel Processing: Support for batch compression tasks to handle large datasets efficiently.
- Integration Support: Designed to work seamlessly with other Openclaw Skills for cross-agent memory sharing.
SKILL.md
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