head to head · open source

AnythingLLM vs Langchain-Chatchat

AnythingLLM has 67,862 GitHub stars, 7,658 forks, 311 open issues and last shipped 4 days ago. Langchain-Chatchat has 38,714 stars, 6,255 forks, 26 open issues and last shipped 12 months ago. AnythingLLM leads on adoption by 75% (67,862 vs 38,714 stars). AnythingLLM is written in JavaScript under MIT; Langchain-Chatchat is written in Python under Apache-2.0. AnythingLLM has attracted 11% as many forks as stars, Langchain-Chatchat 16%. AnythingLLM was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

AnythingLLM ★ 68K Langchain-Chatchat ★ 39K category AI & Machine Learning

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Side by side

AnythingLLM Langchain-Chatchat
GitHub stars ★ 68K ★ 39K
License MIT Apache-2.0
Written in JavaScript Python
Last push 2026-10-30 2025-11-10
Forks ⑂ 7.7K ⑂ 6.3K
Self-hosting Yes Yes
Data ownership Your server Your server

pick AnythingLLM if

  • You weight community size — 68K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full AnythingLLM profile →

pick Langchain-Chatchat if

  • You want the Langchain-Chatchat feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Langchain-Chatchat fits your workflow better

full Langchain-Chatchat profile →

About AnythingLLM

[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…

read the full AnythingLLM overview →

About Langchain-Chatchat

🌍 READ THIS IN ENGLISH 📃 LangChain Chatchat (原 Langchain ChatGLM) 基于 ChatGLM 等大语言模型与 Langchain 等应用框架实现,开源、可离线部署的 RAG 与 Agent 应用项目。 目录 概述 功能介绍 0.3.x 功能一览 已支持的模型推理框架与模型 快速上手 pip 安装部署 源码安装部署/开发部署 Docker 部署 项目里程碑 联系我们 概述 🤖️ 一种利用 langchain 思想实现的基于本地知识库的问答应用,目标期望建立一套对中文场景与开源模型支持友好、可离线运行的知识库问答解决方案。 💡 受 GanymedeNil 的项目 document.ai 和 AlexZhangji 创建的 ChatGLM 6B Pull Request 启发,建立了全流程可使用开源模型实现的本地知识库问答应用。本项目的最新版本中可使用 Xinference、Ollama 等框架接入 GLM 4 Chat、 Qwen2 Instruct、 Llama3 等模型,依托于 langchain 框架支持通过基于 FastAPI 提供的 API 调用服务,或使用基于 Streamlit 的 WebUI 进行操作。 ✅ 本项目支持市面上主流的开源 LLM、 Embedding 模型与向量数据库,可实现全部使用 开源 模型 离线私有部署…

read the full Langchain-Chatchat overview →

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Frequently asked questions

Is AnythingLLM or Langchain-Chatchat more popular?

AnythingLLM has 67,862 GitHub stars and Langchain-Chatchat has 38,714. AnythingLLM has the larger community by that measure.

Are AnythingLLM and Langchain-Chatchat free?

Both are open source. AnythingLLM is licensed under MIT and Langchain-Chatchat under Apache-2.0. Neither carries a licence fee.

What is the difference between AnythingLLM and Langchain-Chatchat?

AnythingLLM is written in JavaScript and Langchain-Chatchat in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, AnythingLLM or Langchain-Chatchat?

Choose AnythingLLM if you want the larger community (67,862 stars) or its MIT licence terms. Choose Langchain-Chatchat if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.