Files
openclaw-workspace-2026/Projects/site-survey-ai/memory/DECISIONS.md
T
JC Beasley a1aca9bfc6 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
2026-07-04 15:11:30 -07:00

1.3 KiB

IT Site Survey AI - Technical Decisions

July 3, 2026 - Dashboard Implementation Approach

Decision: Implement a client-side dashboard that fetches data from a new API endpoint Alternatives Considered:

  • Server-side rendered dashboard
  • Separate admin application
  • Database-based reporting interface Chosen Because:
  • Leverages existing Flask API infrastructure
  • Provides real-time data without page refresh
  • Maintains consistency with existing application architecture
  • Quick to implement and deploy

July 3, 2026 - Data Storage Approach

Decision: Continue using in-memory storage for survey responses Alternatives Considered:

  • Implement PostgreSQL database
  • Use SQLite for local storage
  • Add Redis for caching Chosen Because:
  • Maintains simplicity of current implementation
  • Avoids additional infrastructure dependencies
  • Sufficient for current use case
  • Can be enhanced later without breaking changes

July 3, 2026 - API Endpoint Design

Decision: Add GET /api/surveys/responses endpoint to retrieve all responses Alternatives Considered:

  • Add pagination to endpoint
  • Implement filtering parameters
  • Create separate admin-only endpoints Chosen Because:
  • Simple implementation that meets current needs
  • Can be extended with parameters later
  • Follows REST conventions
  • Consistent with existing API patterns