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OpenAdaptAI Repository Analysis Package

Complete analysis and recommendations for repository archival Date: January 17, 2026

📦 Package Contents

This directory contains a comprehensive analysis of all 49 OpenAdaptAI repositories with detailed recommendations for archival and consolidation.

Core Documents

  1. EXECUTIVE_SUMMARY.md (11 KB)

    • Quick reference for decision-makers
    • Key findings and recommendations
    • Success metrics and ROI analysis
    • Start here for overview

  2. openadaptai_repository_analysis.md (16 KB)

    • Detailed repository-by-repository analysis
    • Archival rationale and recommendations
    • Dependency mapping
    • Migration planning
    • Archive message templates

  3. archival_action_plan.md (15 KB)

    • Step-by-step execution guide
    • Phased implementation approach
    • Risk mitigation strategies
    • Communication templates
    • Tracking checklists

  4. openadaptai_repository_inventory.csv (9 KB)

    • Complete repository inventory in spreadsheet format
    • Stars, forks, last commit, status for all 49 repos
    • Recommendations and archive messages
    • Import into Excel/Google Sheets for filtering

🎯 Quick Start

For Decision Makers

  1. Read EXECUTIVE_SUMMARY.md (5 minutes)
  2. Review key decisions section
  3. Approve or modify recommendations
  4. Assign execution owner

For Implementation Team

  1. Review EXECUTIVE_SUMMARY.md for context
  2. Follow archival_action_plan.md phase by phase
  3. Use openadaptai_repository_inventory.csv for tracking
  4. Reference openadaptai_repository_analysis.md for details

For Stakeholders

  1. Read EXECUTIVE_SUMMARY.md overview
  2. Review specific repositories of interest in CSV
  3. Check migration plans in detailed analysis

📊 Analysis Summary

Current State

  • 49 total repositories
  • 27% active (< 30 days)
  • 61% inactive (> 6 months)
  • 4% already archived

Recommendations

  • KEEP: 24 repositories (49%)
    • 13 active core (modular architecture)
    • 11 strategic/dependencies
  • ARCHIVE: 23 repositories (47%)
    • 17 research forks (Phase 1)
    • 5 superseded/obsolete (Phase 2)
    • 1 under review (Phase 4)

Impact

  • ✅ 51% reduction in maintenance overhead
  • ✅ Improved clarity for contributors
  • ✅ Zero breaking changes (archives remain accessible)
  • ✅ Clear migration paths for all superseded projects

📋 Implementation Phases

Phase 1: Week 1-2 (17 repos)

Archive inactive research forks with minimal risk.

  • Repos: whisper, ultralytics, grok-1, and 14 others
  • Time: 3 hours
  • Risk: Minimal

Phase 2: Week 3-4 (5 repos)

Post deprecation notices for superseded projects.

  • Repos: OpenSanitizer, OpenReflector, procdoc, openadapt-gitbook, oa.blog
  • Time: 4 hours
  • Risk: Low

Phase 3: Month 2 (5 repos)

Archive Phase 2 repos after 30-day notice period.

  • Time: 2 hours
  • Risk: Low

Phase 4: Month 3 (1-3 repos)

Make strategic decisions on edge cases.

  • Repos: app, UI-TARS-desktop, fork refresh strategy
  • Time: 4 hours
  • Risk: Medium

Total Timeline: 3 months Total Effort: ~13 hours

🔑 Key Findings

Active Modular Architecture (13 repos)

OpenAdaptAI has successfully transitioned to a modular architecture:

  • openadapt-ml - ML training toolkit
  • openadapt-capture - Data collection
  • openadapt-evals - Benchmark evaluation
  • openadapt-viewer - HTML visualization
  • openadapt-privacy - PII/PHI protection
  • openadapt-agent - Production execution
  • openadapt-grounding - UI element detection
  • openadapt-retrieval - Demo retrieval
  • openadapt-telemetry - Error tracking
  • openadapt-tray - System tray GUI
  • openadapt-web - Official website
  • OpenAdapt - Main repository
  • .github - Org configuration

Critical Dependencies (Must Keep)

  • atomacos - macOS automation (18+ months stale but critical)
  • pynput - Input control (18+ months stale but critical)
  • openadapt-privacy - Used by capture, ml
  • openadapt-viewer - Used by evals, ml

Research Fork Bloat

  • 17 research forks with zero modifications
  • No dependencies, no community engagement
  • Safe to archive immediately

Superseded Projects

  • OpenSanitizer → openadapt-privacy (migration guide needed)
  • openadapt-gitbook → openadapt.ai + READMEs
  • oa.blog → openadapt.ai

🚨 Critical Decisions Needed

1. app Repository

  • Status: Empty (only LICENSE), created Jan 11, 2025
  • Issue: No code committed
  • Options: Archive now OR 30-day deadline
  • Recommendation: 30-day development deadline

2. Fork Maintenance

  • Status: atomacos, pynput 18+ months stale
  • Issue: Critical dependencies but outdated
  • Options: Keep as-is OR sync with upstream
  • Recommendation: Sync with upstream quarterly

3. UI-TARS-desktop

  • Status: Fork with minimal changes
  • Issue: Low engagement, similar to openadapt-tray
  • Options: Archive OR keep if strategic
  • Recommendation: Archive

📈 Success Metrics

Pre-Cleanup

  • 49 repositories
  • 24.5 hours/month maintenance
  • 27% active repositories
  • Unclear project structure

Post-Cleanup Target

  • 24 repositories
  • 12 hours/month maintenance
  • 50% active repositories
  • Clear modular architecture

Key Performance Indicators

  • ✅ 51% maintenance time reduction
  • ✅ 23 repositories archived (preserved as read-only)
  • ✅ Zero breaking changes
  • ✅ All migration guides published
  • ✅ Improved contributor clarity

🗂️ File Guide

Analysis Documents

File Size Purpose Audience
EXECUTIVE_SUMMARY.md 11 KB Quick overview Decision makers
openadaptai_repository_analysis.md 16 KB Detailed analysis All stakeholders
archival_action_plan.md 15 KB Execution guide Implementation team
openadaptai_repository_inventory.csv 9 KB Spreadsheet data Project managers

How to Use

For Quick Reference:

# View executive summary
cat EXECUTIVE_SUMMARY.md

# Open spreadsheet
open openadaptai_repository_inventory.csv

# Follow action plan
cat archival_action_plan.md

For Detailed Research:

# Read full analysis
cat openadaptai_repository_analysis.md

# Search for specific repository
grep "OpenSanitizer" openadaptai_repository_analysis.md

# Check dependencies
grep -A 5 "Dependency Analysis" openadaptai_repository_analysis.md

For Implementation:

# Follow phased approach
cat archival_action_plan.md

# Track progress with CSV
# Import into Excel/Google Sheets for filtering and updates

📞 Next Steps

Immediate (This Week)

  1. Review EXECUTIVE_SUMMARY.md
  2. Make critical decisions (app, forks, UI-TARS-desktop)
  3. Approve archival plan
  4. Assign implementation owner
  5. Set Phase 1 start date

Week 1-2 (Phase 1)

  1. Archive 17 research forks
  2. Update documentation
  3. Monitor for issues

Week 3-4 (Phase 2)

  1. Post deprecation notices
  2. Create migration guides
  3. Publish blog post

Month 2 (Phase 3)

  1. Archive Phase 2 repositories
  2. Update package registries

Month 3 (Phase 4)

  1. Finalize strategic decisions
  2. Implement governance policy
  3. Publish completion report

🔗 Related Resources

External Links

Internal Documentation

❓ Frequently Asked Questions

Q: Will archiving delete repositories?

A: No. Archived repositories remain accessible in read-only mode. All code, issues, and history are preserved.

Q: Can we unarchive a repository if needed?

A: Yes. Archives can be unarchived at any time if circumstances change.

Q: What happens to forks and stars?

A: They remain unchanged. Archived repos keep all their stars, forks, and community engagement metrics.

Q: Will this break external dependencies?

A: No. Archives remain accessible for cloning and referencing. We're also providing 30-day deprecation notices for active projects.

Q: How long will this take?

A: Total timeline is 3 months with ~13 hours of actual work, spread across 4 phases.

Q: What's the risk level?

A: LOW. We're using a phased approach with deprecation periods, and archives can be reversed if issues arise.

📝 Document History

Date Version Changes
2026-01-17 1.0 Initial comprehensive analysis

📧 Contact

Questions or feedback on this analysis?

About this analysis:

  • Created using GitHub CLI, web research, and repository metadata
  • All data current as of January 17, 2026
  • 49 repositories analyzed across OpenAdaptAI organization

✅ Approval & Sign-Off

Analysis Reviewed By:

  • Project Lead: _______________ Date: _______________
  • Technical Lead: _______________ Date: _______________
  • Community Manager: _______________ Date: _______________

Plan Approved By:

  • Executive Sponsor: _______________ Date: _______________

Implementation Assigned To:

  • Owner: _______________ Start Date: _______________

This analysis package provides everything needed to execute a systematic repository cleanup while minimizing risk and maintaining community trust.

Ready to proceed? Start with EXECUTIVE_SUMMARY.md for the full overview.