memory-consolidation - Periodic Memory Optimization for Cross-Session Learning
Performs sleep-like memory optimization by detecting patterns, resolving conflicts, applying decay, and transferring knowledge across contexts.
Tags
Updated: 2026-02-17Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Identify recurring patterns across memories
- Create higher-level abstractions
- Detect and resolve contradictions
- Apply time-based forgetting
- Share patterns between contexts
- Update Q-value rankings
Inputs
- Memory storage
- Access patterns data
- Temporal usage data
Outputs
- Memory consolidation report
- Updated memory structures
- System health metrics
- Pattern analysis results
Requirements
- Python3 runtime
- Scheduled execution capability
- Memory storage access