MemDDC is an intelligent tool designed for team-based project documentation management and iterative code development, featuring automated document generation and DDD model mapping.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install memddc-ai-skill
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 memddc-ai-skill 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 MemDDC?
MemDDC is a professional-grade Openclaw Skills integration focused on streamlining team collaboration through intelligent documentation and structural analysis. It helps developers maintain consistency in complex architectures by automating the creation of Domain-Driven Design (DDD) models, compressing long-term memory to reduce token consumption, and ensuring code style uniformity across the project.
By leveraging a three-tier index structure—metadata, index, and context—MemDDC allows AI agents to precisely locate entities, controllers, and services without exhaustive file exploration. This results in a significant reduction in operational costs, with documented decreases in token usage by up to 53% for business logic modifications.
MemDDC Use Cases
- Collaborative team development requiring unified AI constraints and documentation.
- Iterating on complex system architectures using Domain-Driven Design principles.
- Ongoing maintenance and refactoring of legacy systems with long-term engineering history.
- Automating the synchronization between source code changes and project documentation.
How MemDDC Works
- Initialization and VCS Analysis: The skill pulls logs from Git or SVN to extract submission patterns and team collaboration cycles.
- Structure Mapping: It recursively scans the project directory and IDE indexes to build a comprehensive file tree analysis.
- Contextual Extraction: Business logic and requirements are extracted from user-provided documentation to build a domain-specific knowledge base.
- DDD Model Construction: The tool performs an AST scan to map relationships between entities, mappers, services, and controllers.
- Snapshot Generation: All analyzed data is integrated into a mem-snapshot.json file, creating a high-fidelity memory point for AI agents.
- Incremental Synchronization: When code changes occur, memddc-sync identifies affected documents and updates only the relevant sections.
MemDDC Setup
To get started with this skill in your project, initialize the environment and sync your existing codebase:
# Initialize MemDDC in your project directory
memddc-init
# Synchronize code changes with the memory snapshot
memddc-sync
# Manually update the documentation and DDD models
memddc-update
MemDDC Data Schema & Taxonomy
MemDDC organizes its intelligence within a dedicated .memddc/ directory to ensure team-wide accessibility. The core data structure is defined as follows:
| File | Description |
|---|---|
mem-snapshot.json |
The primary memory snapshot containing metadata, file indexes, and context constraints. |
config.json |
Shared team configuration including sync branches and trigger settings. |
ddd-model.md |
Auto-generated Domain-Driven Design model documentation. |
vcs-log-analysis.md |
AI-processed analysis of version control history and commit patterns. |
docs/diagrams/ |
Mermaid-based architecture, flow, and ER diagrams. |
MemDDC Advanced Features
- Smart Memory Compression: Automatically triggers level-based compression when snapshots exceed 80% of the context limit.
- Automated Relationship Mapping: Traces code paths from entities to views (Entity -> Mapper -> Service -> Controller -> View).
- Multi-Language Support: Full support for Java/Spring Boot, Python (Django/Flask), Node.js, and Go (Gin).
- VCS Integration: Native support for both Git and SVN history analysis.
- Custom Trigger Logic: Configurable automation for code changes, structure shifts, or scheduled CRON jobs.
SKILL.md
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