langchain4j vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| langchain4j | awesome-llm-apps | |
|---|---|---|
| Tagline | LangChain4j: Java-friendly Library for LLM Integration | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 13k | 117k |
| Forks | 2.4k | 17k |
| Open issues | 785 | 6 |
| Language | Java | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jun 15, 2026 |
| Categories | LLM Frameworks, Developer Tools, Data & Retrieval | AI Agents, LLM Frameworks |
langchain4j
An idiomatic, open-source Java library that facilitates building applications powered by large language models (LLMs) and vector databases. It offers a unified API across multiple LLM providers and vector stores, making it easy to switch between different technologies without code rewriting.
Java
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