π React for interactive command-line apps
A collection of common interactive command line user interfaces.
List any node_modules π¦ dir in your system and how heavy they are. You can then select which ones you want to erase to free up space π§Ή
Effortlessly build beautiful command-line apps
Run commands concurrently. Like `npm run watch-js & npm run watch-less` but better.
Simple yet powerful framework for building command-line apps.
Test your download and upload speed using fast.com
Customize Claude Code's system prompts, create custom toolsets, input pattern highlighters, themes/thinking verbs/spinners, customize input box & user message styling, support AGENTS.md, unlock private/unreleased features, and much more. Supports both native/npm installs on all platforms.
Instagram's CLI and TUI client -- The ultimate weapon against brainrot
Open-source policy engine that blocks bad AWS spending patterns before they ship and remediates what's already burning.
Simple config handling for your app or module
Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems
A web-based GUI for quickly generating common FFmpeg command-line operations.
The most compatible MCP CLI client. Supports: tools, resources, prompts, completions, async tasks, skills, stdio and Streamable HTTP (MCP 2026-07-28 and 2025-11-25). Persistent sessions, OAuth 2.1 with DCR, CIMD, client credentials, and ID-JAG, OS keychain, --json for code mode, grep across servers, proxy for AI sandboxes, x402 & more.
A comprehensive SEO audit command-line tool with 332 audit rules across 20 categories. Analyze any website for SEO best practices, Core Web Vitals, security headers, structured data, accessibility, and more.
Terminal-native AI coding assistant for real repositories. Inspect code, edit files, run tests, and verify changes from the CLI.
An AI agent command-line interface β multi-model LLM access, streaming terminal UI, tool calling, permission control, and session persistence.
Help your agents find the smoking gun they're looking for. Optimization evidence for agents: find complexity hotspots.