Awesome GitHub RepositoriesAI Code Editors

Cursor is an AI-powered code editor and integrated development environment built as a fork of Visual Studio Code. It functions as an AI programming assistant that integrates large language models directly into the editing experience to write, refactor, and maintain source code. The editor utilizes a customized version of the VS Code interface to provide native artificial intelligence capabilities, including an environment for natural language code generation and codebase indexing. The platform covers a range of AI-assisted coding capabilities, such as intelligent code completion, automated c

Cursor is an artificial intelligence-powered code editor built as a fork of the Visual Studio Code environment. It integrates machine learning models directly into the development workflow, allowing users to generate, refactor, and debug code through natural language prompts while maintaining full compatibility with existing editor extensions and themes. The editor distinguishes itself through a specialized codebase context engine that indexes local project structures and file relationships using vector-based embeddings. This system enables the editor to inject relevant file snippets and proj

go-cursor-help is a machine ID resetter and trial limit bypass tool designed for the Cursor AI editor. It functions as a device identifier generator that modifies configuration files and system registries to regenerate unique hardware identifiers. The utility enables the reset of trial usage restrictions and the recovery of access for accounts flagged for suspicious activity. It achieves this by replacing existing machine identifiers with new, pseudo-random strings to simulate a fresh installation environment. The tool includes a configuration backup utility that archives original system ide

Cockpit-tools is a toolkit for managing multiple AI service credentials and account identities. It provides utilities for importing account credentials via authorization tokens or data files to enable rapid switching between user identities without manual login procedures. The project includes an automation utility for scheduling model wake-ups and quota reset cycles, as well as a monitoring dashboard to track API credits and usage limits across various platforms. Additionally, it functions as a launcher for running multiple independent AI editor instances, mapping each to a unique user direc

cursor-vip एक मॉडिफिकेशन लेयर और लोकल नेटवर्क यूटिलिटी है जिसे एक विशिष्ट AI-संचालित कोड एडिटर के भीतर प्रीमियम AI प्रॉम्प्टिंग और एडिटर फीचर्स को अनलॉक करने के लिए डिज़ाइन किया गया है। यह एक LLM IDE फीचर अनलॉकर के रूप में कार्य करता है जो उन्नत मॉडल प्रॉम्प्ट्स तक अप्रतिबंधित पहुंच प्रदान करने के लिए ऑथेंटिकेशन आवश्यकताओं को बायपास करता है। यह प्रोजेक्ट नेटवर्क रिक्वेस्ट्स को इंटरसेप्ट और मॉडिफाई करने के लिए एक लोकल प्रॉक्सी सर्विस का उपयोग करता है, जो वैध प्रीमियम सत्रों का अनुकरण करने के लिए हेडर इंजेक्शन और लोकल API मॉकिंग का उपयोग करता है। ये मैकेनिज्म एडिटर को मानक लॉगिन बाधाओं के बिना प्रतिबंधित टूल्स और सेवाओं तक पहुंचने की अनुमति देते हैं। यह सिस्टम लोकल AI प्रॉक्सी को मैनेज करता है और उन्नत कोडिंग क्षमताओं और सर्विस-आधारित फीचर अनलॉकिंग को सक्षम करने के लिए एडिटर के व्यवहार को संशोधित करता है।

This project is a centralized registry for discovering, distributing, and hosting community-authored extensions and rule sets for AI-powered code editors. It serves as a hub for AI prompt rule libraries and a directory for sharing third-party plugins and tool servers. The ecosystem includes an automated security scanner that uses agents to analyze plugin code for malicious patterns before public distribution. It also features a serverless tool hub that hosts external logic endpoints to connect AI coding agents with external knowledge bases and observability data. The platform manages the ful

This project is a centralized repository and downloader for an AI code editor, providing a curated index of official download links for various operating systems. It functions as a cross-platform software mirror that maps version identifiers to specific installer binaries for Windows, macOS, and Linux. The system differentiates between stable release tracks and experimental preview builds. This allows for the retrieval of verified production versions or the installation of preview releases to evaluate new functionality before an official launch. The project covers version management and arch