head to head · open source
wechaty vs deepchat
wechaty has 23,269 GitHub stars, 2,879 forks, 198 open issues and last shipped 9 months ago. deepchat has 6,328 stars, 734 forks, 8 open issues and last shipped yesterday. wechaty leads on adoption by 268% (23,269 vs 6,328 stars). wechaty is written in TypeScript under Apache-2.0; deepchat is written in TypeScript under Apache-2.0. wechaty has attracted 12% as many forks as stars, deepchat 12%. deepchat 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.
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Side by side
| wechaty | deepchat | |
|---|---|---|
| GitHub stars | ★ 23K | ★ 6.3K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | TypeScript | TypeScript |
| Last push | 2025-12-21 | 2026-09-17 |
| Forks | ⑂ 2.9K | ⑂ 734 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick wechaty if
- You weight community size — 23K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick deepchat if
- You want the deepchat 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 deepchat fits your workflow better
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 →
About deepchat
DeepChat is an open source, local first AI agent desktop client built with TypeScript under the Apache 2.0 license. It lives in the AI interaction and interfaces ecosystem, distributed as a cross platform Electron application, and it gathers models, tools, Skills, agent runtimes, Tape, and long running sessions into a single desktop app. Cloud APIs such as OpenAI, Gemini, and Anthropic work alongside locally deployed Ollama models, and any provider exposing an OpenAI, Gemini, or Anthropic API format can be connected.
read the full deepchat overview →
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Frequently asked questions
Is wechaty or deepchat more popular?
wechaty has 23,269 GitHub stars and deepchat has 6,328. wechaty has the larger community by that measure.
Are wechaty and deepchat free?
Both are open source. wechaty is licensed under Apache-2.0 and deepchat under Apache-2.0. Neither carries a licence fee.
What is the difference between wechaty and deepchat?
wechaty is written in TypeScript and deepchat 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, wechaty or deepchat?
Choose wechaty if you want the larger community (23,269 stars) or its Apache-2.0 licence terms. Choose deepchat if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.