self-llm vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| self-llm | awesome-llm-apps | |
|---|---|---|
| Tagline | 《开源大模型食用指南》 | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 31k | 117k |
| Forks | 3.0k | 17k |
| Open issues | 158 | 6 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 17, 2026 | Jun 15, 2026 |
| Categories | Inference & Serving, Model Training, Developer Tools | AI Agents, LLM Frameworks |
self-llm
此Repo提供关于众多国内外主流开源大型语言和多模态模型（如LLaMA, ChatGLM等）的教程，涵盖Linux环境配置、部署使用及微调，旨在简化其应用流程，让学习者更好地理解和应用这些前沿技术。
Jupyter Notebook
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