awesome-llm-apps and awesome-azure-openai-llm
These are competitors, as both aim to provide a curated collection of resources for building LLM applications, with one focusing broadly on various models and the other specifically on Azure OpenAI.
About awesome-llm-apps
Shubhamsaboo/awesome-llm-apps
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Extends beyond standard RAG and agent patterns with specialized implementations like multi-agent teams, voice agents, Model Context Protocol (MCP) integration, and autonomous game-playing agents. Features starter templates and advanced production-ready applications across diverse domains—from financial analysis and medical imaging to self-evolving agents and browser automation—spanning OpenAI, Anthropic, Google, xAI, and locally-runnable open-source models like Llama and Qwen.
About awesome-azure-openai-llm
kimtth/awesome-azure-openai-llm
A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).
The collection organizes resources across five core domains: RAG systems and agentic frameworks (LangChain, LlamaIndex, Semantic Kernel), Azure-native tooling and Copilot integration patterns, LLM research with landscape comparisons and prompt engineering techniques, evaluation benchmarks and LLMOps infrastructure, and production best practices. It emphasizes chronologically-dated entries and concise technical summaries to track rapid ecosystem evolution, particularly focusing on Microsoft's cloud AI stack and agent protocol standards (MCP, A2A, computer use).
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