Claude Code HUD: Terminal Dashboard for Monitoring AI Coding Sessions
What claude-code-hud does
claude-code-hud is a terminal-based dashboard designed specifically for monitoring Claude Code sessions. The developer built it to address two common pain points: constantly running commands like git diff, git status, and cat to check what Claude changed, and not knowing how much context window remained until hitting limits.
Key features
- Context window gauge with color warnings (green → yellow → red)
- 5-hour/weekly usage rate from Anthropic API (actual data, not estimates)
- Interactive file browser with git status colors
- File diff viewer, branch switching, and commit history — all in the terminal
Setup and usage
Install and run with one command: npx claude-code-hud. No configuration required. The tool sits next to your Claude Code session in a separate terminal window.
The developer describes the workflow as: "You're not writing code with Claude Code. You're reviewing. For that, you don't need IntelliJ. You need a lightweight way to see what's changing and how much context you have left."
The project was built with Claude Code and is available on GitHub at https://github.com/letsgojh0810/hud-plugin.
📖 Read the full source: r/ClaudeAI
👀 See Also
Shield: Open-Source Security Plugin for Claude Code with Unified Scanning
Shield is an open-source security plugin for Claude Code that orchestrates multiple security tools from a single /shield:shield command, auto-detects your stack, runs installed tools, and generates unified reports with risk scores and code fix suggestions.
Atoo Studio: Open-Source Workspace for Managing Multi-Project Claude Code Workflows
Atoo Studio is an open-source workspace built to address terminal and tab chaos when using Claude Code across multiple projects. It introduces session forking like Git branches and allows continuation across Claude Code, Codex CLI, and Gemini CLI.
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LumaBrowser: Electron Browser Offloads DOM Parsing to Local LLMs for AI Agents
LumaBrowser is an Electron browser that offloads DOM parsing to local LLMs via OpenAI-compatible endpoints, helping autonomous agents avoid processing raw HTML. It uses models like Qwen 2.5 variants to identify UI elements and returns CSS selectors.