LLMSurvey vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LLMSurvey | awesome-llm-apps | |
|---|---|---|
| Tagline | A Survey of Large Language Models | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 12k | 117k |
| Forks | 935 | 17k |
| Open issues | 30 | 6 |
| Language | Python | Python |
| License | - | Apache-2.0 |
| Last pushed | Mar 11, 2025 | Jun 15, 2026 |
| Categories | Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks |
LLMSurvey
Repository containing a collection of papers and resources related to large language models, organized according to the survey paper 'A Survey of Large Language Models'. It provides an up-to-date overview of various aspects such as in-context learning and reinforcement learning human feedback.
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