

































메뉴 막대 앱

예전에는 월말이 되어서야 알았습니다. 이제 그 숫자가 하루 종일 시계 옆, 모든 창 위에 떠 있고, 클릭 한 번이면 청구서 전체가 열립니다.
오늘의 지출이 시계 옆에 있습니다. 대시보드를 열 필요도, 탭을 찾을 필요도 없습니다.
에이전트별 요금제 사용량을 실시간으로 측정하고, 각 구간의 남은 시간을 보여줍니다.
오늘부터 전체 기간까지 에이전트별 합계를, 로컬 또는 여러 기기 통합으로 확인합니다.
활동별 지출 분해: 코딩, 디버깅, 기능 개발. 턴 수와 한 번에 맞힌 비율까지.
네이티브 Swift. 로컬 세션 파일만 읽습니다. 어떤 데이터도 Mac을 떠나지 않습니다. Linux에서는 같은 숫자가 GNOME 상단 막대에 표시됩니다.
데스크톱 앱

청구서가 하나의 숫자가 아니라 지도가 됩니다. 어떤 모델, 어떤 프로젝트, 어떤 세션이었는지, 그리고 그 값을 치른 작업이 살아남았는지까지.
비용 흐름이 어떤 모델이 어떤 저장소에 지출했는지 원하는 기간으로 보여줍니다.
한 번에 맞힌 비율, 캐시 적중, 재시도 비용으로 구성된 효율 점수입니다.
예상 월 총액과 함께, 지난달 대비 지출 속도를 보여줍니다.
작업이 실제로 만들어낸 브랜치와 PR에 지출을 귀속시킵니다.
무료 오픈소스. macOS, Windows, Linux 지원.
터미널

npx codeburn 를 실행하면 이미 있는 그 자리에서 전체 그림이 열립니다. 설치도, 계정도, 설정도 필요 없습니다.
오늘, 일주일, 한 달, 6개월, 또는 지금까지 실행한 전부로 화면 전체를 전환합니다.
프로젝트, 모델, 활동, 핵심 도구, 셸 명령, 스킬과 에이전트를 한꺼번에.
캐시 적중률, 턴 수, 한 번에 맞힌 비율이 모든 비용 옆에 있습니다. 별도 리포트가 아닙니다.
실행이 끌어다 쓴 MCP 서버, 스킬, 위임 에이전트의 사용량과 비용입니다.
Homebrew에서도 설치할 수 있습니다. 메뉴 막대와 앱이 읽는 것과 같은 합계입니다.
GitHub에서 Hacker News까지, 개발자들이 CodeBurn을 이야기합니다.
THIS TOOL SHOWS YOU EXACTLY WHERE YOUR CLAUDE CODE TOKENS ARE GOING. This guy was spending $200+ a day on Claude Code with zero visibility into what was eating the tokens. So he built a terminal dashboard that reads your session transcripts and classifies every single turn.
“This is actually pretty useful. Most people have no idea how much they're spending on AI tools until it adds up, so having it visible in the menubar makes a lot of sense. Really solid idea though, especially being open source.”
“Wait this is so sick! Definitely adding this when I get home”
“big thanks! needed this so badly.”
“Thank you - very interesting. I will try it out.”
“Beautiful”
“We definitely need to install this before our Polymarket scripts bankrupt us on API calls”
“CodeBurn Is The Latest Usage Tracker Blowing up On Github. 435 likes, 16K+ views.”
“You may want to bookmark this!! Do you know the true dollar cost of every Claude Code session?”
“Thanks for the quick turnaround and for getting the invariants right. The reconciliation guarantee is what makes this safe to consume.”
THIS TOOL SHOWS YOU EXACTLY WHERE YOUR CLAUDE CODE TOKENS ARE GOING. This guy was spending $200+ a day on Claude Code with zero visibility into what was eating the tokens. So he built a terminal dashboard that reads your session transcripts and classifies every single turn.
“This is actually pretty useful. Most people have no idea how much they're spending on AI tools until it adds up, so having it visible in the menubar makes a lot of sense. Really solid idea though, especially being open source.”
“Wait this is so sick! Definitely adding this when I get home”
“big thanks! needed this so badly.”
“Thank you - very interesting. I will try it out.”
“Beautiful”
“We definitely need to install this before our Polymarket scripts bankrupt us on API calls”
“CodeBurn Is The Latest Usage Tracker Blowing up On Github. 435 likes, 16K+ views.”
“You may want to bookmark this!! Do you know the true dollar cost of every Claude Code session?”
“Thanks for the quick turnaround and for getting the invariants right. The reconciliation guarantee is what makes this safe to consume.”
A handy little tool I discovered, specifically designed to keep tabs on the token bills for Claude Code and Codex. When you usually use AI to write code, where the tokens are spent, which model burns through money the fastest.
“Very nice. Feels like one of those tools that becomes obvious the moment you see your spend broken down this clearly. Looks like the project has great velocity now.”
“I'd love something like this Claude Desktop. Looks great.”
“Been using this a lot since I discovered it a few weeks ago. Thanks for building and sharing!”
“Looks like it may be useful, thank you”
“Looks cool! Is it able to track stats for models that I use through a non-opencode subscription? Like if I use gpt-5.3-codex through a chatgpt subscription in opencode, will I be able to see some usage stats for it?”
“This is a game changer for anyone trying to scale their agentic workflows without going broke. Visualizing where the tokens actually go makes it much easier to optimize your development budget.”
“CodeBurn, an open-source dashboard built by the AgentSeal team that answers the one question every developer using Claude Code or Cursor is frustrated about: where the hell did all my tokens go?”
“ah nice, you are doing some amazing work. Just to let you know — Visa has forked CodeBurn internally and suggested employees try it.”
“Thanks for shipping this so quickly. Two choices are nicer than what I proposed. NSStatusItem.variableLength is a cleaner answer, and Int((cost * rate).rounded()) rounds correctly where my version would silently truncate.”
A handy little tool I discovered, specifically designed to keep tabs on the token bills for Claude Code and Codex. When you usually use AI to write code, where the tokens are spent, which model burns through money the fastest.
“Very nice. Feels like one of those tools that becomes obvious the moment you see your spend broken down this clearly. Looks like the project has great velocity now.”
“I'd love something like this Claude Desktop. Looks great.”
“Been using this a lot since I discovered it a few weeks ago. Thanks for building and sharing!”
“Looks like it may be useful, thank you”
“Looks cool! Is it able to track stats for models that I use through a non-opencode subscription? Like if I use gpt-5.3-codex through a chatgpt subscription in opencode, will I be able to see some usage stats for it?”
“This is a game changer for anyone trying to scale their agentic workflows without going broke. Visualizing where the tokens actually go makes it much easier to optimize your development budget.”
“CodeBurn, an open-source dashboard built by the AgentSeal team that answers the one question every developer using Claude Code or Cursor is frustrated about: where the hell did all my tokens go?”
“ah nice, you are doing some amazing work. Just to let you know — Visa has forked CodeBurn internally and suggested employees try it.”
“Thanks for shipping this so quickly. Two choices are nicer than what I proposed. NSStatusItem.variableLength is a cleaner answer, and Int((cost * rate).rounded()) rounds correctly where my version would silently truncate.”
Someone was spending $200+ a day on Claude Code with no idea where the tokens were going. So they built a terminal dashboard that classifies every session turn into 13 categories. More than half the money was going to conversation, not code. One line install: npx codeburn.
“Great to see someone actually evaluating, sharing data and insights over the hundreds of "this sucks" posts with zero context. Thanks!”
“Thanks for the context. Quality post.”
“That is cool. Will try it out soon.”
“Interesting! I like it!”
“wait this is actually useful. was literally wondering yesterday why my claude bill was so high when i wasn't coding that much. gonna try this today”
“Visibility is key.”
“Very useful”
“Great tool. Installed via npx, zero friction, immediately useful on a 15-project setup running 170+ sessions/month across Opus and Sonnet. Starred.”
“Confirmed working! Before fix: 0 Gemini sessions detected. After fix: 54 sessions captured, full breakdown intact. Thanks for the fast turnaround on the fix!”
Someone was spending $200+ a day on Claude Code with no idea where the tokens were going. So they built a terminal dashboard that classifies every session turn into 13 categories. More than half the money was going to conversation, not code. One line install: npx codeburn.
“Great to see someone actually evaluating, sharing data and insights over the hundreds of "this sucks" posts with zero context. Thanks!”
“Thanks for the context. Quality post.”
“That is cool. Will try it out soon.”
“Interesting! I like it!”
“wait this is actually useful. was literally wondering yesterday why my claude bill was so high when i wasn't coding that much. gonna try this today”
“Visibility is key.”
“Very useful”
“Great tool. Installed via npx, zero friction, immediately useful on a 15-project setup running 170+ sessions/month across Opus and Sonnet. Starred.”
“Confirmed working! Before fix: 0 Gemini sessions detected. After fix: 54 sessions captured, full breakdown intact. Thanks for the fast turnaround on the fix!”
“Genuinely thank you so much for this. I was able to find where my claude has been opening thousands of terminal sessions and eating up my tokens without me even sending a single message. Super duper helpful”
“Immediate install and use. It's brilliant, thank you OP!”
“I need this in my life”
“Nice design! Good job!”
“Thanks for making this, will try this out with my team!”
“Codex, Claude Code, Cursor... quietly hiding the real cost of your usage. That's why CodeBurn exists. It tracks tokens, cost, and performance across 18+ AI coding tools, so you can compare models, optimize usage, and see where your budget leaks.”
“beautiful”
“Install codeburn, then run codeburn optimize. That command scans your coding agent sessions for specific waste. Repeated file reads, low read-to-edit ratios, uncapped bash output, unused MCP servers. And returns token-level savings estimates per fix.”
“Four out of six in a single release cycle is genuinely impressive. Per-project drill-down and cost-per-session are exactly what I needed most. Great project.”
“And thanks for the quick fixes!!”
“Genuinely thank you so much for this. I was able to find where my claude has been opening thousands of terminal sessions and eating up my tokens without me even sending a single message. Super duper helpful”
“Immediate install and use. It's brilliant, thank you OP!”
“I need this in my life”
“Nice design! Good job!”
“Thanks for making this, will try this out with my team!”
“Codex, Claude Code, Cursor... quietly hiding the real cost of your usage. That's why CodeBurn exists. It tracks tokens, cost, and performance across 18+ AI coding tools, so you can compare models, optimize usage, and see where your budget leaks.”
“beautiful”
“Install codeburn, then run codeburn optimize. That command scans your coding agent sessions for specific waste. Repeated file reads, low read-to-edit ratios, uncapped bash output, unused MCP servers. And returns token-level savings estimates per fix.”
“Four out of six in a single release cycle is genuinely impressive. Per-project drill-down and cost-per-session are exactly what I needed most. Great project.”
“And thanks for the quick fixes!!”