#rag

AnyCrawl by any4ai is a high-performance crawling and scraping toolkit designed for the AI ecosystem. It supports various crawling tasks, including multi-engine SERP crawling, single-page content extraction, and full-site traversal. The tool achieves high performance through multi-threading and multi-process capabilities, handling batch tasks efficiently. A key feature is its LLM-powered structured data (JSON) extraction from web pages, making it highly AI-friendly, easy to integrate and use via API calls or self-hosting. AnyCrawl also offers multiple rendering engines like Cheerio, Playwright, and Puppeteer, alongside cache control.

daily_stock_analysis, developed by ZhuLinsen, is an intelligent stock analysis system powered by large AI models. It automatically analyzes selected A-share, Hong Kong, and US stocks daily, generating a 'Decision Dashboard' with core conclusions, ratings, buy/sell points, risk alerts, and action checklists. The system supports automated delivery of analysis reports via multiple channels including WeChat Work, Feishu, Telegram, Discord, Slack, and email. It integrates multi-dimensional analysis (technical, real-time quotes, chip distribution, news sentiment), supports global markets, and incorporates various built-in market strategies (e.g., moving averages, 'Chan Lun', Elliott Wave). Users can also utilize a web-based workbench for manual analysis, configuration management, historical report viewing, backtesting, and AI Agent-powered strategy inquiries.

awesome-llm-apps by Shubhamsaboo is a curated repository offering over 100 runnable AI Agent and RAG application templates. It serves as a practical cookbook of ready-to-use code, enabling developers to quickly clone, customize, and deploy production-grade LLM applications. It covers modern AI stacks like AI Agents, multi-agent teams, RAG, voice agents, agent skills, and fine-tuning. Each template is self-contained, original, end-to-end tested, supports various LLMs (Claude, Gemini, OpenAI, Llama, etc.), and comes with free step-by-step tutorials.

DeepTutor, developed by HKUDS, is an agent-native personalized intelligent tutoring platform. It integrates various AI agent modes like problem-solving, quiz generation, and deep research within a unified chat workspace. Key features include an AI Co-Writer for collaborative content creation, a Book Engine to transform materials into interactive "living books," and a Knowledge Hub for RAG-powered learning, all supported by persistent memory for evolving personalized guidance.