head to head · open source
Langchain-Chatchat vs wechaty
Langchain-Chatchat has 38,643 GitHub stars, 6,266 forks, 26 open issues and last shipped 10 months ago. wechaty has 23,288 stars, 2,881 forks, 198 open issues and last shipped 9 months ago. Langchain-Chatchat leads on adoption by 66% (38,643 vs 23,288 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.
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Side by side
| Langchain-Chatchat | wechaty | |
|---|---|---|
| GitHub stars | ★ 39K | ★ 23K |
| 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
Langchain Chatchat (formerly Langchain ChatGLM) is an open source RAG and Agent application built on the Langchain framework and designed to run against local large language models such as ChatGLM, Qwen, and Llama. It lives in the Python ecosystem, is distributed under the Apache 2.0 license, and is published on PyPI as langchain chatchat . The project targets Chinese language scenarios and open source models specifically, with the stated goal of providing a knowledge base question answering solution that can run entirely offline.
read the full Langchain-Chatchat overview →
About wechaty
Wechaty is an open source conversational RPA (Robotic Process Automation) SDK for chatbot makers, written in TypeScript and released under the Apache 2.0 license. It lives in the Node.js and npm ecosystem, and it presents itself as a universal interface to messaging platforms such as WhatsApp and WeChat, with support for additional platforms. The project has been developed for roughly ten years, carries more than 23,000 stars and 2,800 forks on GitHub, and its documentation and community hub live at wechaty.js.org.
read the full wechaty overview →
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Frequently asked questions
Is Langchain-Chatchat or wechaty more popular?
Langchain-Chatchat has 38,643 GitHub stars and wechaty has 23,288. 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 (38,643 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.