205 lines
7.0 KiB
Markdown
205 lines
7.0 KiB
Markdown
# Date/Time
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Friday, October 24, 2025 (Timezone: UTC+00:00 - Please adjust to local system time)
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# Change Tracking/Revision Table
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| Date | Version | Description | Author |
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|------------|---------|--------------------------------------------------|---------------------|
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| 2025-10-24 | 1.0.0 | Proposal for repository restructuring | AIOS-Public System |
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# Changelog
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| Date | Version | Description |
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|------------|---------|--------------------------------------------------|
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| 2025-10-24 | 1.0.0 | Initial creation of restructuring proposal |
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---
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# RESTRUCTURE-PROPOSAL.md: Databank and PMO Separation
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## Overview
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This proposal outlines a restructure of the AI home directory repository to separate the readonly "databank" from the read-write "PMO" components. This provides clear permission boundaries when mounting in containerized development environments.
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## Current Structure vs. Proposed Structure
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### Current Structure
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```
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AI-Home-Directory/
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├── AboutMe.md
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├── AgentRules.md
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├── AGENTS.md
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├── AUDIT1.md
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├── README.md
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├── StartHere.md
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├── TSYS.md
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├── AI-TOOLS.md
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├── PROJECT-MGMT-TOOLS.md
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├── OPS-ENVIRONMENT.md
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├── collab/ # Collaboration directory
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│ └── proposals/ # All proposals currently here
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│ ├── PMO/
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│ └── ...
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└── (other files)
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```
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### Proposed Structure
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```
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AI-Home-Directory/ # Mount point in containers
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├── databank/ # Readonly context (mounted readonly)
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│ ├── personal/ # Personal information
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│ │ ├── AboutMe.md
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│ │ ├── StartHere.md
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│ │ └── TSYS.md
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│ ├── agents/ # AI agent guidelines
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│ │ ├── AgentRules.md
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│ │ ├── AGENTS.md
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│ │ └── AI-TOOLS.md
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│ ├── context/ # General context information
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│ │ ├── AUDIT1.md
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│ │ └── PROJECT-MGMT-TOOLS.md
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│ └── templates/ # Template files for projects
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│ └── ...
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├── pmo/ # Read-write PMO (mounted read-write)
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│ ├── dashboard/ # PMO dashboard views
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│ │ └── ...
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│ ├── projects/ # Project registry and links
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│ │ └── ...
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│ ├── reports/ # Status reports
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│ │ └── ...
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│ ├── resources/ # Resource management
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│ │ └── ...
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│ └── config/ # PMO configuration
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│ └── ...
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├── collab/ # Collaboration directory (readonly)
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│ └── ...
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└── README.md # Updated to reflect new structure
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```
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## Benefits of Restructure
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### 1. Clear Permission Boundaries
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| Component | Permission | Purpose |
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|-----------|------------|---------|
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| **databank/** | Readonly | Consistent context across projects |
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| **pmo/** | Read-Write | Project management updates |
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| **collab/** | Readonly | Collaboration guidelines |
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### 2. Enhanced Security
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- Prevents accidental modification of core knowledge base
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- Limits write access to specific PMO functions
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- Reduces risk of corrupting foundational information
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### 3. Better Organization
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- Separates static context from dynamic management
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- Clearer directory structure for new users
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- Easier navigation and maintenance
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### 4. Improved Container Integration
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| Mount Point | Access Mode | Purpose |
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|-------------|-------------|---------|
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| `/ai-home/databank` | `:ro` (readonly) | Universal context for all tools |
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| `/ai-home/pmo` | `:rw` (read-write) | PMO updates and tracking |
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## Migration Strategy
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### Phase 1: Directory Creation
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```bash
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# Create new directory structure
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mkdir -p databank/{personal,agents,context,templates}
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mkdir -p pmo/{dashboard,projects,reports,resources,config}
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```
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### Phase 2: File Migration
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| Source File | Destination | Type |
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|-------------|-------------|------|
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| AboutMe.md | databank/personal/ | Personal info |
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| AgentRules.md | databank/agents/ | Agent guidelines |
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| AGENTS.md | databank/agents/ | Agent guidelines |
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| AUDIT1.md | databank/context/ | Context information |
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| AI-TOOLS.md | databank/agents/ | Agent context |
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| PROJECT-MGMT-TOOLS.md | databank/context/ | Context information |
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| (new PMO files) | pmo/ | PMO functionality |
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### Phase 3: Update Documentation
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- Update README.md to reflect new structure
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- Update AGENTS.md to reference new paths
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- Create PMO-specific documentation
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### Phase 4: Update Proposals
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- Move PMO proposals to new pmo/ directory
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- Create new PMO templates
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- Update PMO proposal based on new structure
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## Container Usage Pattern
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### Before (Current)
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```bash
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# Single mount point with mixed permissions
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docker run -v /path/to/AI-Home-Directory:/ai-home your-development-image
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```
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### After (Proposed)
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```bash
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# Separate mount points with clear permissions
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docker run \
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-v /path/to/AI-Home-Directory/databank:/ai-home/databank:ro \
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-v /path/to/AI-Home-Directory/pmo:/ai-home/pmo:rw \
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your-development-image
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```
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## Impact Analysis
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### Positive Impacts
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- ✅ Clearer separation of concerns
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- ✅ Better security through permission boundaries
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- ✅ Improved organization and navigation
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- ✅ More secure container mounting
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- ✅ Better alignment with PMO concept
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### Potential Challenges
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- ⚠️ Requires updates to all references in documentation
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- ⚠️ Need to update AI agent configurations
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- ⚠️ Migration path for existing projects
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- ⚠️ Updates to mounting procedures
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## Implementation Steps
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### 1. Preparation
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- [ ] Create new directory structure
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- [ ] Prepare migration script
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- [ ] Update documentation templates
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### 2. Migration
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- [ ] Move files to appropriate directories
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- [ ] Update internal file references
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- [ ] Test new structure
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### 3. Validation
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- [ ] Verify all links work correctly
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- [ ] Test container mounting patterns
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- [ ] Validate AI agent access patterns
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### 4. Rollout
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- [ ] Update README and documentation
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- [ ] Update AGENTS.md with new paths
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- [ ] Communicate changes to AI agents
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## AI Agent Considerations
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### Access Patterns
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- **Databank Access**: Readonly for context and guidelines
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- **PMO Access**: Read-write for project updates and tracking
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- **Agent Updates**: Only update PMO when milestones reached
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### Path Updates
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AI agents will need to be aware of:
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- `/ai-home/databank/` for readonly context
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- `/ai-home/pmo/` for PMO updates
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- New path structure in AGENTS.md
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## Conclusion
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This restructuring provides a cleaner, more secure, and more organized approach to managing your AI home directory. The separation of readonly databank and read-write PMO components aligns perfectly with your usage patterns and provides clear permission boundaries for containerized development environments.
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The proposed structure supports your goal of having a readonly databank that can be safely mounted across all projects while maintaining a separate PMO area where AI agents can make updates without risk to the core knowledge base. |