Claumon – Forecasting Claude Code usage limits with a Gamma process (github.com)

The launch of Claumon, a streamlined dashboard for monitoring Claude Code usage, marks an essential tool for developers leveraging AI models. It operates as a single executable across macOS, Linux, and Windows with no configuration requirements, allowing users to easily access vital metrics such as token consumption, cost estimates, and historical trends. The dashboard utilizes Server-Sent Events for real-time data updates and stores daily usage aggregates in an SQLite database, enhancing long-term tracking capabilities. Significantly, Claumon incorporates advanced forecasting features built on an Empirical-Bayes model that refits daily based on past usage patterns. This allows users to project utilization thresholds and anticipate rate limit impacts, a crucial function for those managing multiple sessions or AI projects. Technical details such as real-time session tracking, a memory browser with a relationship graph, and built-in VS Code integration underscore its utility for AI developers, facilitating improved management of resources and project timelines in the rapidly evolving field of AI/ML.