Lists and filters active Claude Code memories to manage learned preferences, patterns, and workflows.
The ccmem-list skill provides a powerful interface for inspecting the knowledge base Claude builds over time. It allows developers to browse through active memories—including project-specific preferences and global patterns—to ensure the AI assistant is operating with the correct context. By offering granular filtering by confidence, type, and tags, users can audit Claude's learned behaviors, debug inconsistent responses, and maintain a clean, efficient development environment.
Key Features
01Tag-based search for organizing and retrieving specific memory clusters
02Confidence threshold filtering to identify high-certainty patterns
03Verbose mode for viewing detailed descriptions alongside memory IDs
04Scoping filters to toggle between project-specific and global memories
050 GitHub stars
06Type-based categorization for preferences, patterns, workflows, and corrections
Use Cases
01Auditing active AI preferences to ensure compliance with project-specific coding standards
02Identifying and reviewing low-confidence memories that may need correction or removal
03Browsing established workflow patterns to maintain consistency across multiple repositories
