codeburn Reads On-Disk Session Files From 36 AI Coding Tools to Compute Token Cost Locally — No Proxy, No Wrapper, No API Keys

GitHub·medium signal

getagentseal/codeburn (8,922 stars, MIT, desktop v0.9.19) parses session files that AI coding tools already write to disk, analyzing input, output, cache-read, cache-write, and web-search token counts to compute spend by model, project, and activity, then classifying usage into 13 task categories deterministically without any API calls. Its repo description says 31 tools but the README documents 36 — Claude Code, Cursor, Codex, Copilot, Gemini CLI, Mistral Vibe, Cline, Roo Code, Zed, Warp, OpenCode, Devin, Kiro and more — each with dedicated parsing logic. Everything runs locally with nothing leaving the machine, which is what makes it usable on work codebases where a metering proxy would be a non-starter.