Monitors and visualizes AI context usage and token efficiency to prevent context decay in Claude Code sessions.
The Token Optimizer Dashboard provides developers with deep visibility into their AI context usage and quality metrics. It specifically helps identify 'ghost tokens' that waste context window space, tracks consumption trends over time, and provides actionable quality scores to prevent context decay. By aggregating session data into an interactive browser-based dashboard, users can ensure their long-form coding sessions remain efficient, accurate, and cost-effective while managing complex project instructions.
주요 기능
01Context quality scoring to detect and prevent model performance decay
02Ghost token identification to optimize context window space
03862 GitHub stars
04Interactive web-based dashboard for token usage visualization
05Historical session tracking and trend analysis
06Automated data collection and browser-based reporting
사용 사례
01Maintaining high-quality AI interactions in large-scale codebases
02Optimizing token costs during long development sessions
03Debugging model hallucinations caused by context saturation
