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GitNexus: Zero-Server Code Intelligent Engine for In-Browser Knowledge Graph Creation and Code Exploration

GitNexus is a client-side knowledge graph creation tool that operates entirely within the browser, requiring zero server code. Users can drag and drop GitHub repositories or ZIP files to generate an interactive knowledge graph. This graph comes equipped with a built-in RAG (Retrieval Augmented Generation) agent, making GitNexus an ideal solution for efficient code exploration and understanding.

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GitNexus is introduced as a zero-server code intelligent engine designed for creating knowledge graphs directly within the browser. This innovative tool functions entirely client-side, eliminating the need for any backend server infrastructure. Its core functionality allows users to easily import codebases by dragging and dropping either GitHub repositories or ZIP files into the application. Upon import, GitNexus automatically constructs an interactive knowledge graph. A key feature of GitNexus is its integrated RAG (Retrieval Augmented Generation) agent, which enhances the utility of the knowledge graph. This combination makes GitNexus particularly well-suited for tasks involving code exploration, providing a structured and interactive way to navigate and understand codebases.

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Datawhale China Launches 'Hello-Agents': A Beginner's Guide to Building Intelligent Agents from Scratch

Datawhale China has released 'Hello-Agents,' a new tutorial titled 'Building Intelligent Agents from Scratch.' This resource aims to provide a foundational understanding and practical guidance on the principles and implementation of intelligent agents, designed for beginners. The project is available on GitHub Trending and includes both Chinese and English versions.

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GitHub Trending Project 'system-prompts-and-models-of-ai-tools' Catalogs Prompts and Models for Leading AI Development Tools

A new project, 'system-prompts-and-models-of-ai-tools,' is trending on GitHub, authored by x1xhlol. Published on February 27, 2026, this repository compiles system prompts and models for a comprehensive list of AI development tools. The collection includes resources for Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI, VSCode Agent, Warp.dev, Windsurf, Xcode, Z.ai Code, Dia, and v0, alongside other open-source tools. This resource aims to provide a centralized reference for developers working with various AI-powered coding assistants and platforms.

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Scrapling: An Adaptive Web Scraping Framework for Single Requests to Large-Scale Operations Hits GitHub Trending

Scrapling, an adaptive web scraping framework, has recently appeared on GitHub Trending. Developed by D4Vinci, this tool is designed to handle a wide range of web scraping tasks, from individual requests to extensive, large-scale crawling operations. Its adaptive nature suggests flexibility and efficiency in managing diverse web data extraction needs. Further details and documentation are available via its Read the Docs link.