MGM vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| MGM | awesome-llm-apps | |
|---|---|---|
| Tagline | Official repo for 'Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models' | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 3.3k | 117k |
| Forks | 275 | 17k |
| Open issues | 61 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | May 4, 2024 | Jun 15, 2026 |
| Categories | LLM Frameworks, Model Training | AI Agents, LLM Frameworks |
MGM
A Python-based framework supporting dense and MoE Large Language Models (LLMs) from 2B to 34B, focusing on image understanding, reasoning, and generation. Built based on LLaVA.
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