Summary
An open-source utility that tracks remaining Claude Code, Codex, and Grok usage limits across machines.
About
ai-usage is a lightweight monitoring utility for developers who rely on multiple AI coding tools. It makes usage limits visible across machines and helps users assess whether remaining quota will last until reset.
ai-usage displays remaining usage limits for Claude Code, Codex, and Grok on each machine where it runs, and indicates whether the available quota is expected to last until the next reset. The tool requires no account or configuration and includes a macOS menu bar app. It is intended to help users monitor usage and anticipate quota exhaustion.
Key Features
Tracks remaining limits for Claude Code, Codex, and Grok
Provides usage visibility on each machine where it is run
Estimates whether remaining quota will last until the reset
Requires no account or configuration
Includes a macOS menu bar app
Real-World Use Cases
Developer quota monitoring
Check remaining AI coding-tool limits during development to anticipate interruptions before a quota reset.
Multi-machine workflow visibility
Monitor usage across machines used for development, reducing uncertainty when switching between work environments.
AI tool usage planning
Use remaining-quota and reset-duration information to plan work that depends on Claude Code, Codex, or Grok.
Business Opportunities
Developer productivity support
Problem: Developers using AI coding tools may encounter usage limits without knowing whether their remaining quota will cover planned work.
Solution: Use ai-usage to view remaining limits and assess whether they are likely to last until reset.
Estimated ROI: Potentially positive through fewer unexpected interruptions; the actual return depends on usage patterns and the cost of disrupted work.
Execution: Adopt the tool alongside existing AI coding workflows and use its cross-machine visibility to inform task planning.
AI tool usage coordination
Problem: Teams and individuals working across multiple machines may lack a convenient view of AI coding-tool limits.
Solution: Use the tool on relevant machines to make remaining quota and expected duration more visible.
Estimated ROI: Indirect and context-dependent, primarily through improved planning and reduced quota-related downtime.
Execution: Evaluate the utility with developers who use the supported tools, then incorporate it into local workflow guidance where useful.