Local session-based tracking
CodeBurn reads local session files from supported tools and turns them into token and cost reports without uploading data.
CodeBurn is a local-first tracker for AI coding token usage and cost across tools like Claude Code, Cursor, and OpenAI Codex CLI. It shows spend by model, project, task, and time range without uploading session data.
CodeBurn is a local-first tool for tracking AI coding token usage and cost across multiple agentic coding tools. It is positioned as a privacy-first alternative to ccusage and is described as free, open source, and 100% local in the supplied page text.
The product reads session files already on your machine and converts them into itemized views of spend by model, project, task, and time range. The site highlights support for Claude Code, Cursor, OpenAI Codex CLI, Copilot, Gemini, and a longer list of tools, with views available in a desktop menu bar app, a GNOME top bar app, and a terminal command via npx codeburn.
CodeBurn reads local session files from supported tools and turns them into token and cost reports without uploading data.
The product breaks spend down by model, project, and task, so users can see where usage comes from instead of only seeing a total.
The Claude Code page notes per-model views such as Opus, Sonnet, and Haiku, plus task views for coding, delegation, exploration, and debugging.
The homepage and tool-specific pages describe combined reporting across tools including Claude Code, Cursor, Codex, Copilot, Gemini, and others.
The homepage describes live spend in the menu bar or GNOME top bar, with a terminal option available through npx codeburn.
The homepage says CodeBurn can show month-to-date totals, projected month spend, cache hit and one-shot rates, and session or pull-request attribution where available.
Track Claude Code usage by model and task, including cache pricing and API-equivalent value, to understand whether a subscription is paying off.
Combine Cursor, Codex, Copilot, and other tools into a single view so you can compare usage across your AI coding stack.
Watch live spend in the menu bar or top bar during the day so you can notice costs before the end of the month.
Inspect project-, branch-, or session-level totals to understand which repository or work item consumed the tokens.
Use efficiency views such as one-shot rate, cache hits, retries, and projected month total to assess how your workflow is changing over time.
CodeBurn runs locally and reads session files from tools such as Claude Code, Cursor, and Codex. It then shows token usage and estimated cost by model, project, task, and time range.
The source materials describe CodeBurn as free, local-first, and open source. They do not provide a detailed paid-plan breakdown on the pages provided.
The pages describe support for macOS, Windows, and Linux. The homepage also notes a menu bar app on macOS and a GNOME top bar view on Linux.
Yes. The Cursor page says CodeBurn can combine Cursor usage with Claude Code, Codex, Copilot, Gemini, and more so you can see one number for all of it.
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