head to head · open source

Langchain-Chatchat vs CosyVoice

Langchain-Chatchat has 38,643 GitHub stars, 6,266 forks, 26 open issues and last shipped 10 months ago. CosyVoice has 23,695 stars, 2,692 forks, 698 open issues and last shipped 4 months ago. Langchain-Chatchat leads on adoption by 63% (38,643 vs 23,695 stars). Langchain-Chatchat is written in Python under Apache-2.0; CosyVoice is written in Python under Apache-2.0. Langchain-Chatchat has attracted 16% as many forks as stars, CosyVoice 11%. CosyVoice was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (chatbot, chatgpt), 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.

Langchain-Chatchat ★ 39K CosyVoice ★ 24K category AI & Machine Learning

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Side by side

Langchain-Chatchat CosyVoice
GitHub stars ★ 39K ★ 24K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2025-11-10 2026-05-25
Forks ⑂ 6.3K ⑂ 2.7K
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

full Langchain-Chatchat profile →

pick CosyVoice if

  • You want the CosyVoice 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 CosyVoice fits your workflow better

full CosyVoice profile →

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 CosyVoice

CosyVoice is an Apache 2.0 Python text to speech system built on large language models that ships inference, training and deployment for multi lingual voice generation, aimed at teams who need self hosted zero shot voice cloning and streaming speech synthesis rather than a hosted API.

read the full CosyVoice overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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Compare either of these against the rest of the AI Interaction & Interfaces field.

Langchain-Chatchat vs OpenClaw Langchain-Chatchat vs Hermes Agent Langchain-Chatchat vs Open WebUI Langchain-Chatchat vs ComfyUI Langchain-Chatchat vs odysseus Langchain-Chatchat vs LobeChat Langchain-Chatchat vs AnythingLLM Langchain-Chatchat vs Cherry Studio Langchain-Chatchat vs nanobot Langchain-Chatchat vs Jan Langchain-Chatchat vs LibreChat Langchain-Chatchat vs chatbox

Frequently asked questions

Is Langchain-Chatchat or CosyVoice more popular?

Langchain-Chatchat has 38,643 GitHub stars and CosyVoice has 23,695. Langchain-Chatchat has the larger community by that measure.

Are Langchain-Chatchat and CosyVoice free?

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

What is the difference between Langchain-Chatchat and CosyVoice?

Langchain-Chatchat is written in Python and CosyVoice 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, Langchain-Chatchat or CosyVoice?

Choose Langchain-Chatchat if you want the larger community (38,643 stars) or its Apache-2.0 licence terms. Choose CosyVoice if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.