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KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

macOS menu bar app that tells you, in plain English, what each USB-C cable plugged into your Mac can actually do

  • apple-silicon
  • hardware-info
  • iokit
  • mac-app

TranslatedProgrammer Yupi's (程序员鱼皮) programming handbook ⭐️ The most complete programming learning roadmap for 2026! Includes learning roadmaps for Java, front-end, Python, C++, algorithms, computer fundamentals, AI application development, AI Agent development, and more. Provides programming beginner tutorials, AI large model application development tutorials, hands-on RAG development, MCP development tutorials, Prompt engineering guides, LLM application development, technical knowledge sharing, learning resource recommendations, hands-on project tutorials, popular interview questions, job-hunting experience, résumé optimization, programming self-study guides, and more. Suitable for everyone who is learning programming from zero, learning AI development, switching careers to become a programmer, computer science students, and anyone looking for a job 💎 To learn programming, come to 编程导航 (Programming Navigation)!

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

FreeAskInternet is a completely free, PRIVATE and LOCALLY running search aggregator & answer generate using MULTI LLMs, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to LLM and generate the answer based on search results. It's all FREE to use.