Establish baseline: core documentation and memory system
Adds foundational workspace documentation: - Core identity and operating principles (SOUL.md, IDENTITY.md, AGENTS.md, USER.md) - Memory management system specification (MEMORY.md) - Development team context and workflow (CONTEXT.md, PROJECTS.md) - Environment notes template (TOOLS.md) - Heartbeat task template (HEARTBEAT.md) Includes super-enhanced memory system: - JavaScript memory engine implementation - Memory initialization and test scripts - Daily memory logs for 2026-07-03, 2026-07-04 - Project-level memory structure for site-survey-ai Adds project templates: - Standard Python Flask application template
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# IT Site Survey AI - Changelog
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## July 3, 2026
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### Added
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- API endpoint `/api/surveys/responses` to retrieve all survey responses
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- Dashboard interface at `/dashboard.html` to view survey responses
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- Navigation link from main survey to dashboard
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- Memory persistence system with STATUS.md, DECISIONS.md, ISSUES.md, RUNBOOK.md
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- Documentation of enhancements in ENHANCEMENTS_SUMMARY.md
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- Super-enhanced memory system with JavaScript implementation
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- User identity and preference storage
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- Proactive memory capture capabilities
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### Changed
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- Enhanced main survey page with dashboard access button
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- Improved application documentation
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### Verified
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- API endpoint returns correct JSON response
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- Dashboard loads and displays data
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- Main survey page accessible
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- Application restarts correctly
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- Memory system initializes and stores context
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# IT Site Survey AI - Technical Decisions
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## July 3, 2026 - Dashboard Implementation Approach
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**Decision**: Implement a client-side dashboard that fetches data from a new API endpoint
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**Alternatives Considered**:
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- Server-side rendered dashboard
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- Separate admin application
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- Database-based reporting interface
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**Chosen Because**:
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- Leverages existing Flask API infrastructure
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- Provides real-time data without page refresh
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- Maintains consistency with existing application architecture
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- Quick to implement and deploy
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## July 3, 2026 - Data Storage Approach
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**Decision**: Continue using in-memory storage for survey responses
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**Alternatives Considered**:
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- Implement PostgreSQL database
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- Use SQLite for local storage
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- Add Redis for caching
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**Chosen Because**:
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- Maintains simplicity of current implementation
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- Avoids additional infrastructure dependencies
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- Sufficient for current use case
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- Can be enhanced later without breaking changes
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## July 3, 2026 - API Endpoint Design
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**Decision**: Add GET /api/surveys/responses endpoint to retrieve all responses
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**Alternatives Considered**:
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- Add pagination to endpoint
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- Implement filtering parameters
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- Create separate admin-only endpoints
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**Chosen Because**:
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- Simple implementation that meets current needs
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- Can be extended with parameters later
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- Follows REST conventions
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- Consistent with existing API patterns
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# IT Site Survey AI - Known Issues & Workarounds
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## Memory Persistence Between Sessions
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**Issue**: Agent doesn't retain context between separate conversation sessions
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**Workaround**: Created memory directory structure with STATUS.md, DECISIONS.md, and ISSUES.md files
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**Status**: Documented, workaround in place
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**Impact**: Minor productivity impact - requires status check at beginning of each session
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## Data Persistence
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**Issue**: Survey responses stored in memory only, lost when application restarts
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**Workaround**: None implemented yet
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**Status**: Known limitation, planned enhancement
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**Impact**: Medium - data loss on application restart
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## Dashboard UI Enhancement
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**Issue**: Dashboard is functional but minimal in features
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**Workaround**: None needed - enhancement opportunity
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**Status**: Identified for future work
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**Impact**: Low - functional but could be more user-friendly
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# IT Site Survey AI - Operations Runbook
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## Application Management
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### Check Application Status
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```bash
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ssh jcbeasley@192.168.50.11 "ps aux | grep python | grep app.py"
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```
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### Check Application Port
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```bash
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ssh jcbeasley@192.168.50.11 "ss -tulpn | grep 3003"
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```
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### View Application Logs
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```bash
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ssh jcbeasley@192.168.50.11 "tail -f /home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/app.log"
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```
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### Restart Application
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```bash
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ssh jcbeasley@192.168.50.11 "pkill -f 'python3 app.py' && cd /home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai && source venv/bin/activate && nohup python3 app.py > app.log 2>&1 &"
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```
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## Testing Endpoints
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### Test Main Application
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```bash
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curl -s http://192.168.50.11:3003/
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```
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### Test API Endpoint
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```bash
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curl -s http://192.168.50.11:3003/api/surveys/responses | jq '.'
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```
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### Test Dashboard
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```bash
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curl -s http://192.168.50.11:3003/dashboard.html
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```
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## File Locations
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- Main application: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/app.py`
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- HTML files: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/index.html` and `dashboard.html`
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- Memory files: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/memory/`
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- Logs: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/app.log`
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- Virtual environment: `/home/jcbeasley/.openclaw/workspace/Projects/site-survey-ai/venv/`
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# IT Site Survey AI - Current Status
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## Last Updated
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July 3, 2026
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## Memory System Status
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- ✅ Basic project memory system implemented (STATUS.md, DECISIONS.md, etc.)
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- ✅ Super-enhanced memory system implemented with JavaScript engine
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- ✅ User identity and preferences stored (JC/Blknyrd)
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- ✅ Project goals and knowledge base established
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- ✅ Proactive memory capture capabilities
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## Application Status
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- ✅ Running at http://192.168.50.11:3003/
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- ✅ Main survey page functional
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- ✅ Dashboard interface available at /dashboard.html
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- ✅ API endpoint /api/surveys/responses working
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- ✅ Survey responses stored in memory
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## Recent Enhancements
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1. Added API endpoint to retrieve all survey responses
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2. Created dashboard interface to view survey responses
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3. Added navigation between main survey and dashboard
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4. Documented enhancements in ENHANCEMENTS_SUMMARY.md
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## Active Work
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- None currently
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## Next Planned Steps
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- Implement data persistence to database
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- Add authentication for dashboard access
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- Enhance dashboard with filtering capabilities
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- Add analytics and reporting features
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## Deployment
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- Application running on port 3003
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- Process managed with nohup
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- Logs available in app.log
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