Langchain-Chatchat vs dify
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Langchain-Chatchat | dify | |
|---|---|---|
| Tagline | Langchain-Chatchat is a local knowledge-based RAG and Agent application for LLMs like ChatGLM, Qwen and Llama. | Production-ready platform for agentic workflow development |
| Stars | 38k | 148k |
| Forks | 6.2k | 23k |
| Open issues | 23 | 851 |
| Language | Python | TypeScript |
| License | Apache-2.0 | Other |
| Last pushed | Nov 10, 2025 | Jul 7, 2026 |
| Categories | LLM Frameworks, Developer Tools, Inference & Serving | AI Agents |
Langchain-Chatchat
LangChain-Chatchat is an open-source project implementing Retrieval-Augmented Generation (RAG) and agent applications based on large language models such as ChatGLM, Qwen, and LLaMA. It supports offline deployment using various embedding models and vector databases and integrates with frameworks like Xinference and Ollama.
Python
dify
Dify is a production-ready platform designed to facilitate the creation and management of agentic workflows. It supports TypeScript, Python, and leverages frameworks like Next.js.
TypeScript