head to head · open source

OpenClaw vs CosyVoice

OpenClaw has 393,747 GitHub stars, 82,755 forks, 6,671 open issues and last shipped yesterday. CosyVoice has 24,247 stars, 2,769 forks, 698 open issues and last shipped 5 months ago. OpenClaw leads on adoption by 1,524% (393,747 vs 24,247 stars). OpenClaw is written in TypeScript under MIT; CosyVoice is written in Python under Apache-2.0. OpenClaw has attracted 21% as many forks as stars, CosyVoice 11%. OpenClaw 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.

OpenClaw ★ 394K CosyVoice ★ 24K category AI & Machine Learning

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Side by side

OpenClaw CosyVoice
GitHub stars ★ 394K ★ 24K
License MIT Apache-2.0
Written in TypeScript Python
Last push 2026-11-02 2026-05-25
Forks ⑂ 83K ⑂ 2.8K
Self-hosting Yes Yes
Data ownership Your server Your server

pick OpenClaw if

  • You weight community size — 394K stars and counting
  • You want the MIT license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full OpenClaw 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 OpenClaw

OpenClaw 🦞 — Your assistant, on your devices, in your chats OpenClaw is an open source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux. One Gateway runs it as a personal assistant on a laptop or as a shared team deployment; configuration is the only difference. Yours, with no catch. State, memory, and credentials live on your hardware. Models and agent harnesses (Claude, Codex, local models) are plugins you can swap without changing anything…

read the full OpenClaw overview →

About CosyVoice

👉🏻 CosyVoice 👈🏻 Fun CosyVoice 3.0 : Demos; Paper; Modelscope; Huggingface; CV3 Eval CosyVoice 2.0 : Demos; Paper; Modelscope; HuggingFace CosyVoice 1.0 : Demos; Paper; Modelscope; HuggingFace Highlight🔥 Fun CosyVoice 3.0 is an advanced text to speech (TTS) system based on large language models (LLM), surpassing its predecessor (CosyVoice 2.0) in content consistency, speaker similarity, and prosody naturalness. It is designed for zero shot multilingual speech synthesis in the wild. Key Features Language Coverage : Covers 9 common languages (Chinese, English, Japanese, Korean, German, Spanish, French…

read the full CosyVoice overview →

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Frequently asked questions

Is OpenClaw or CosyVoice more popular?

OpenClaw has 393,747 GitHub stars and CosyVoice has 24,247. OpenClaw has the larger community by that measure.

Are OpenClaw and CosyVoice free?

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

What is the difference between OpenClaw and CosyVoice?

OpenClaw is written in TypeScript 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, OpenClaw or CosyVoice?

Choose OpenClaw if you want the larger community (393,747 stars) or its MIT licence terms. Choose CosyVoice if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.