llm-engineer-toolkit vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-engineer-toolkit | awesome-llm-apps | |
|---|---|---|
| Tagline | LLM Engineer Toolkit | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 11k | 117k |
| Forks | 1.7k | 17k |
| Open issues | 19 | 6 |
| Language | - | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 25, 2026 | Jun 15, 2026 |
| Categories | LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
llm-engineer-toolkit
A repository containing a curated list of over 120 libraries related to Large Language Models (LLMs) categorized by function.
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