Local-first cost ledger for AI coding: reads the session files 36 tools already write and breaks every token and dollar down by task, model, project. TUI, web, desktop, menubar — no proxy, no keys.
The honest architecture for spend tracking — read the session files already on disk, no proxy in your API path, nothing leaves the machine — executed at the broadest scope in the category: 36 tools, four surfaces, one data source. The parts beyond pretty dashboards earn the install: waste detection with applyable (and undoable) fixes, budget guards, model comparison. Limits are inherited from the source: it sees what session logs record, and subscription flat fees vs metered API blur what a 'dollar' means — treat per-task cost as a good estimate, not accounting (pricing via LiteLLM's daily refresh). When NOT: single-tool Claude Code forensics — cc-lens and claude-code-karma go deeper there with replay and cache breakdowns.
See where your AI spend goes.
If CodeBurn shows you something your bill never did, star the repo so other developers find it, and consider sponsoring to keep 36 integrations honest.
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Web npx codeburn web
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What teams reach for next — and why each earns a place beside codeburn. Ranked by curator confidence.
Menu-bar/tray app for macOS and Windows that reads Claude Code, Codex and OpenCode session logs and shows live token spend — per-model pricing with cache reads, plan-limit bars, webhook alerts.
npx cc-lens: local analytics dashboard over ~/.claude — sessions with replay, cost and cache breakdowns, insights and budgets, team-adoption mode, a yearly Wrapped card. No cloud, no telemetry.