head to head · open source
Langchain-Chatchat vs wechaty
Langchain-Chatchat has 38,714 GitHub stars, 6,255 forks, 26 open issues and last shipped 12 months ago. wechaty has 23,512 stars, 2,922 forks, 198 open issues and last shipped 11 months ago. Langchain-Chatchat leads on adoption by 65% (38,714 vs 23,512 stars). Langchain-Chatchat is written in Python under Apache-2.0; wechaty is written in TypeScript under Apache-2.0. Langchain-Chatchat has attracted 16% as many forks as stars, wechaty 12%. wechaty was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| Langchain-Chatchat | wechaty | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 24K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2025-11-10 | 2025-12-21 |
| Forks | ⑂ 6.3K | ⑂ 2.9K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Langchain-Chatchat if
- You weight community size — 39K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick wechaty if
- You want the wechaty feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and wechaty fits your workflow better
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 →
About wechaty
Wechaty Ship.Fail PreAngel Elevator Pitch Wechaty is a conversational RPA SDK that simplifies the process of building chatbots. It's like a Swiss Army knife for chatbot development, providing a universal interface to various messaging platforms such as WhatsApp, WeChat, and more. With Wechaty, you write your bot code once, and it runs on any of the supported platforms. This means you can focus on creating engaging conversational experiences without worrying about the underlying complexities of each platform's API. It's open source, easy to use, and backed by a vibrant community that's ready to help you bring…
read the full wechaty overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is Langchain-Chatchat or wechaty more popular?
Langchain-Chatchat has 38,714 GitHub stars and wechaty has 23,512. Langchain-Chatchat has the larger community by that measure.
Are Langchain-Chatchat and wechaty free?
Both are open source. Langchain-Chatchat is licensed under Apache-2.0 and wechaty under Apache-2.0. Neither carries a licence fee.
What is the difference between Langchain-Chatchat and wechaty?
Langchain-Chatchat is written in Python and wechaty in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Langchain-Chatchat or wechaty?
Choose Langchain-Chatchat if you want the larger community (38,714 stars) or its Apache-2.0 licence terms. Choose wechaty if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.