iM3SK

iM3SK / cc-aio-mon

Public

Real-time terminal monitor for Claude Code — context window, rate limits, costs, burn rate. Stdlib only.

claude claude-code cli developer-tools monitor
15
2
100% credibility
Found Apr 13, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A compact terminal dashboard that displays real-time metrics like context usage, rate limits, costs, and performance for Claude Code CLI sessions.

How It Works

1
🖥️ Discover the monitor

While using your AI coding helper in the terminal, you find this handy tool that shows live stats on costs and limits right on screen.

2
📥 Download the files

Grab the simple set of files from the project page and save them to a folder on your computer—no extra software needed.

3
🔧 Set it up quickly

Follow the easy guide for your computer (Windows, Mac, or Linux) to link it with your AI coding helper.

4
🚀 Launch the dashboard

Start the colorful fullscreen view that watches your sessions and fills with progress bars and numbers as you work.

5
💬 Begin a coding chat

Open your AI coding session, and watch the one-line status bar appear at the top with key info updating live.

6
📊 Track everything live

See context filling up, costs ticking, rate limits nearing edges, and smart alerts pop up to keep you in control.

7
⌨️ Explore with keys

Press simple keys to switch sessions, view usage history, or check a legend—feels smooth and responsive.

✅ Sessions stay efficient

You now run smarter coding marathons, spotting high costs or full contexts early, saving time and money.

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Star Growth

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AI-Generated Review

What is cc-aio-mon?

cc-aio-mon is a Python terminal monitor for the Claude Code CLI, delivering real-time data on context window usage, API rate limits, session costs, and burn rate via a compact one-line status bar and fullscreen TUI dashboard. It pipes in official JSON telemetry from Claude Code over stdin, rendering progress bars, smart alerts, and cross-session aggregates like daily/weekly costs—all using Python stdlib only, no dependencies. Developers get instant visibility into token burn, cache hits, and limits without leaving the terminal.

Why is it gaining traction?

Unlike log-scraping alternatives that estimate costs or lack live views, cc-aio-mon taps Claude Code's official stdin protocol for precise, real-time terminal data on context, costs, and limits. Its stdlib-only design means zero setup—no pip, no venv—plus multi-session support, keyboard shortcuts for stats/legend, and cross-platform polish on Windows, macOS, Linux. The Nord-themed TUI with fixed-range bars for burn rate and context consumption hooks devs craving a real-time dashboard github-style without bloat.

Who should use this?

Claude Code power users grinding long sessions, tracking API spend to avoid surprise bills, or juggling multiple terminals. Ideal for Anthropic API devs monitoring rate limits and context fill rates in real time, or indie hackers optimizing token burn on Opus/Sonnet models. Skip if you're not deep into Claude Code CLI workflows.

Verdict

Grab it if you're hooked on Claude Code—its real-time terminal insights beat manual checks, and stdlib purity keeps it lightweight. With 15 stars and 1.0% credibility score, it's early but battle-tested via CI, docs, and security hardening; watch for broader adoption as Claude usage spikes.

(198 words)

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