🛰️ A CLI tool for tracking token usage from OpenCode, Claude Code, 🦞OpenClaw (Clawdbot/Moltbot), Pi, Codex, Gemini, Cursor, AmpCode, Factory Droid, Kimi, and more! • 🏅Global Leaderboard + 2D/3D Contributions Graph
🛰️ A CLI tool for tracking token usage from OpenCode, Claude Code, 🦞OpenClaw (Clawdbot…
A high performance CLI tool and visualization dashboard for tracking token usage and costs across multiple AI coding agents. [! It has reached 3,195 GitHub stars, written primarily in Rust.
Why now: Recent coverage — "OpenCode Monitor - Real-time Usage Analytics & Token Tracking for AI Coding" — alongside renewed developer interest is driving current visibility.
Considerations: Solid adoption (3,195 stars) but quiet cross-source signal right now — established utility more than a current breakout.
EARLY MOMENTUM · Research: Adoption is real but cross-source confirmation is thin — a short hands-on trial (Rust) will tell you more than the metrics.
Sources: junhoyeo/tokscale on GitHub · Project homepage · OpenCode Monitor - Real-time Usage Analytics & Token Tracking for AI Coding · ccusage · RTK – Simple CLI to reduce token usage in your LLM prompts
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
git clone https://github.com/junhoyeo/tokscale.gitThen follow the README in the cloned directory.
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