Stars
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
Use Claude Code or Cursor CLI on mobile and web with Claude Code UI. Claude Code UI free open source webui/GUI that helps you manage your Claude Code session and projects remotely
An open-source AI agent that brings the power of Gemini directly into your terminal.
Turn any browser into your terminal & command your agents on the go.
This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.
A Python CLI tool that converts Claude Code transcript JSONL files into readable HTML format.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
Stop re-explaining your project to AI every session. Automatic context memory for Claude, VS Code, Cursor, and 13+ AI tools.
Lock/unlock your Mac with your iPhone, Apple Watch, or any other Bluetooth LE devices
An integrated shell for working with the AWS CLI.
fast python port of arc90's readability tool, updated to match latest readability.js!
Source code for the paper "Web2Text: Deep Structured Boilerplate Removal", full paper @ ECIR'18
📊 Generate a personal YouTube report from your Google Takeout data
Tampermonkey is the most popular userscript manager, with over 10 million users. It's available for Chrome, Microsoft Edge, Safari, Opera Next, and Firefox.
Duplicate Tabs Closer - Detects and closes duplicate tabs for Chrome and Firefox.
Browser extension that simplifies the GitHub interface and adds useful features
Sourcetrail - free and open-source interactive source explorer
The swiss army knife of lossless video/audio editing
Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control