A modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragAlternatives
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制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程
A modular graph-based Retrieval-Augmented Generation (RAG) system
$ npx skills add microsoft/graphragA simple, easy-to-hack GraphRAG implementation
$ npx skills add gusye1234/nano-graphragDynamiq is an orchestration framework for agentic AI and LLM applications
$ npx skills add dynamiq-ai/dynamiq📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
$ npx skills add datawhalechina/hello-agentsStructured data extraction and instruction calling with ML, LLM and Vision LLM
$ npx skills add katanaml/sparrowA streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
$ npx skills add modelscope/evalscopeOpenKB: Open LLM Knowledge Base
$ npx skills add VectifyAI/OpenKBThe NVIDIA VSS Blueprint is a suite of reference architectures for building GPU-accelerated vision agents and AI-powered video analytics applications.
$ npx skills add NVIDIA-AI-Blueprints/video-search-and-summarization100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
$ npx skills add Shubhamsaboo/awesome-llm-appsAn open-source RAG-based tool for chatting with your documents.
$ npx skills add Cinnamon/kotaemonBuild Real-Time Knowledge Graphs for AI Agents
$ npx skills add getzep/graphitiLarge Action Model framework to develop AI Web Agents
$ npx skills add lavague-ai/LaVagueopen-source agentic AI data assistant for the next generation of AI + Data products.
$ npx skills add eosphoros-ai/DB-GPTHigh accuracy RAG for answering questions from scientific documents with citations
$ npx skills add Future-House/paper-qaInteract with your SQL database, Natural Language to SQL using LLMs
$ npx skills add Dataherald/dataheraldReMe: Memory Management Kit for Agents - Remember Me, Refine Me.
$ npx skills add agentscope-ai/ReMeHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep Tianji if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.