lorax vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| lorax | awesome-llm-apps | |
|---|---|---|
| Tagline | Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 3.8k | 117k |
| Forks | 323 | 17k |
| Open issues | 183 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | May 28, 2026 | Jun 15, 2026 |
| Categories | Inference & Serving, LLM Frameworks | AI Agents, LLM Frameworks |
lorax
Framework for serving thousands of fine-tuned models on a single GPU, reducing costs and maintaining throughput and latency.
Python
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