Autonomous Data Maintenance
Manage your task history and optimize disk utilization through automated maintenance logic.
Autonomous Data Maintenance
Sypha features an Auto-Cleanup engine designed to manage your historical task data automatically. This background maintenance logic optimizes disk space and ensures peak IDE performance by intelligently categorizing and purging obsolete task records based on age and importance.
[!WARNING] Permanence Alert: Task record pruning is a final operation; purged data cannot be restored.
System Overview
As you integrate Sypha into your daily workflow, the accumulated task data can impact system resources. Auto-Cleanup mitigates this by:
- Executing automated pruning based on predefined retention windows.
- Preserving critical records (such as favorited or starred tasks).
- Orchestrating disk optimization without requiring manual developer intervention.
Data Retention Taxonomy
| Task Classification | Strategic Category | Purge Protocol |
|---|---|---|
| Favorited | Missions marked for long-term retention | Exempt from automated purging |
| Completed | Fullfilled tasks (attempt_completion) | 30-day retention window |
| Incomplete | Abandoned objectives or failed iterations | 7-day retention window |
| Standard | General interaction history | 30-day retention window |
Management Controls
Configure your maintenance preferences via the Settings (Gear Icon) -> Auto-Cleanup dashboard.
- Enable Maintenance: Toggle to activate the automated background cleanup engine.
- Retention Strategy: Adjust the baseline windows for specific task categories to match your needs.
- Manual Execution: Trigger an immediate cleanup cycle to reclaim disk space instantly.
Local Governance & Privacy
All maintenance operations are performed locally on your physical machine. Purged task data is not mirrored to any cloud infrastructure, ensuring your historical data remains within your private environment until it is deleted.