Yi vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Yi | awesome-llm-apps | |
|---|---|---|
| Tagline | A series of large language models trained from scratch by developers @01-ai | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 7.8k | 117k |
| Forks | 489 | 17k |
| Open issues | 31 | 6 |
| Language | Jupyter Notebook | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Nov 27, 2024 | Jun 15, 2026 |
| Categories | LLM Frameworks | AI Agents, LLM Frameworks |
Yi
Repository for training and developing a collection of open-source, bilingual Large Language Models (LLMs) designed to cater to English and Chinese speaking communities.
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