codeburn

Free

See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.

#ai-coding-costs#token-usage-tracker#claude-code#cursor-ide#openai-codex#developer-tools#tui-dashboard#cost-observability#open-source#ai-agent-monitoring

Type

Open Source

Visit Website GitHub (5.1k stars)

About codeburn

See where your AI coding tokens go. Interactive TUI dashboard for Claude Code, Codex, and Cursor cost observability.

Key Features

13-Category Task Classifier: Deterministic classification of every coding session into Coding, Debugging, Feature Dev, Refactoring, Testing, Exploration, Planning, Delegation, Git Ops, Build/Deploy, Brainstorming, Conversation, or General — no LLM calls needed.

One-Shot Success Rate: Tracks how often each activity type completes on the first attempt vs. requiring retry loops, helping you spot where tokens are wasted on edit-test-fix cycles.

Multi-Provider Support: Reads session data from Claude Code, Claude Desktop, OpenAI Codex, Cursor, OpenCode, Pi, and GitHub Copilot with a plugin system for adding more.

Cost Breakdowns: Slice your spend by day, project, model (Opus/Sonnet/Haiku/GPT-5/GPT-4o/Gemini), activity type, core tools, shell commands, and MCP servers.

Optimize Command: Scans sessions and ~/.claude/ setup for waste patterns (re-read files, low read-to-edit ratio, unused MCP servers, ghost agents, bloated CLAUDE.md), returns copy-paste fixes and an A-F health grade.

Export & Integration: CSV and JSON multi-period export, --format json for pipeable structured output, --refresh for live monitoring, 162 currency support.

macOS Menubar App: Native Swift/SwiftUI app showing today's cost in your menu bar with popover for agent tabs, breakdowns, and optimize findings.

Best For

Developers using Claude Code: Track exactly how many tokens each coding session consumes, broken down by task type, so you can understand where your Max plan budget is going.Teams using Cursor or Codex: Get per-project cost breakdowns across multiple AI coding tools, with the ability to filter by provider and export to CSV for team reporting.Engineering managers: Justify AI tool spend with concrete data on which activities, models, and projects consume the most resources, and identify waste patterns across the team.Cost-conscious indie developers: Use the optimize command to find and fix waste patterns like re-read files, unused MCP servers, and bloated context files that inflate your token usage.

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