Provides a detailed overview of the ccmem memory system's health, composition, and activity metrics.
ccmem-stats is a specialized monitoring utility designed for the ccmem ecosystem that gives users high-level visibility into their AI's long-term memory. It parses and reformats complex system data into a readable dashboard, showing the distribution of active versus archived memories, confidence scores, and specific memory types like preferences or workflows. This skill is indispensable for developers who want to ensure their Claude Code instance is maintaining a clean, high-quality context and to identify when the memory system requires maintenance or review.
Key Features
01Confidence level distribution (High, Medium, Low) for data reliability
02Aggregated totals for observations and development sessions
03Tracking of last maintenance and analysis timestamps
040 GitHub stars
05Categorization by memory type such as preferences, patterns, and workflows
06Breakdown of memory status including active, archived, and under-review items
Use Cases
01Auditing the growth and health of your project's persistent memory
02Monitoring AI learning patterns over multiple coding sessions
03Identifying low-confidence memories that may require manual refinement
