MOSS vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| MOSS | awesome-llm-apps | |
|---|---|---|
| Tagline | An open-source tool-augmented conversational language model from Fudan University | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 12k | 117k |
| Forks | 1.1k | 17k |
| Open issues | 242 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | May 27, 2026 | Jun 15, 2026 |
| Categories | LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
MOSS
MOSS is a Python-based tool-enhanced conversation system developed by researchers at Fudan University. It supports local deployment, comes in various models with and without plugins for multi-round dialogue capability and quantized versions for improved efficiency.
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