Awesome-Multimodal-Large-Language-Models vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Awesome-Multimodal-Large-Language-Models | awesome-llm-apps | |
|---|---|---|
| Tagline | Latest Advances on Multimodal Large Language Models | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 18k | 117k |
| Forks | 1.1k | 17k |
| Open issues | 104 | 6 |
| Language | - | Python |
| License | - | Apache-2.0 |
| Last pushed | Jul 2, 2026 | Jun 15, 2026 |
| Categories | Evaluation & Observability, Model Training, LLM Frameworks | AI Agents, LLM Frameworks |
Awesome-Multimodal-Large-Language-Models
A repository compiling the latest surveys, benchmarks, and projects related to multimodal large language models (MLLMs). It includes detailed papers, project pages, and datasets focused on evaluating and advancing the capabilities of MLLMs.
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