awesome-llm-apps vs GPTRouter
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-llm-apps | GPTRouter | |
|---|---|---|
| Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | Smoothly Manage Multiple LLMs and Image Models, Speed Up Responses, and Ensure Non-Stop Reliability |
| Stars | 117k | 454 |
| Forks | 17k | 38 |
| Open issues | 6 | 10 |
| Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 15, 2026 | Apr 10, 2024 |
| Categories | AI Agents, LLM Frameworks | LLM Frameworks, Developer Tools |
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python
GPTRouter
GPTRouter is an AI model gateway that allows for seamless management of multiple large language models (LLM) and image generation models. It supports fallback mechanisms, automatic retries, low latency responses, and integration with numerous APIs including OpenAI, Azure, Anthropic among others.
TypeScript