LLM4Decompile vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LLM4Decompile | awesome-llm-apps | |
|---|---|---|
| Tagline | Reverse Engineering: Decompiling Binary Code with Large Language Models | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 6.7k | 117k |
| Forks | 536 | 17k |
| Open issues | 46 | 6 |
| Language | Python | Python |
| License | MIT | Apache-2.0 |
| Last pushed | Feb 12, 2026 | Jun 15, 2026 |
| Categories | Developer Tools | AI Agents, LLM Frameworks |
LLM4Decompile
A repository using large language models (LLMs) for the reverse engineering of binary code through decompilation.
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