Landbot
No-code chatbot builder for conversational experiences
Wechaty
Universal SDK for building cross‑platform chatbots in minutes
Wechaty lets developers write a chatbot once in JavaScript, Python, Go or Java and run it on WhatsApp, WeChat, and other messengers, with Docker, Linux, Windows, macOS support.
Overview
Overview
Wechaty is an RPA SDK that lets developers create conversational bots with as few as six lines of code. By providing a unified API, it abstracts the differences between messaging platforms such as WhatsApp, WeChat, and others, so the same source runs everywhere.
Who it's for & how it works
Targeted at JavaScript, Python, Go, and Java developers, the SDK runs on Linux, Windows, macOS, or inside Docker containers. After installing the package (Node ≥ 16) you can write a bot, set the desired puppet protocol via WECHATY_PUPPET, and launch it with wechaty.start(). The community supplies free tokens for the web‑based puppet and additional providers for Windows or custom protocols.
Deployment options
Bots can be started directly with Node, packaged with npm, or executed in a Docker image (wechaty/wechaty). The Docker workflow supports both JavaScript and TypeScript without a separate compile step, making scaling and CI/CD straightforward.
Highlights
Write once, run on multiple messaging platforms
Supports JavaScript, Python, Go, and Java
Docker and native OS deployment options
Extensible puppet protocol architecture
Pros
- Rapid development with minimal code
- Cross‑platform messaging support
- Active community and extensive documentation
- Flexible deployment (npm, Docker, native)
Considerations
- Requires Node.js 16+ environment
- Limited to supported puppet providers
- Additional configuration for protocol switching
- Performance may vary across platforms
Managed products teams compare with
When teams consider Wechaty, these hosted platforms usually appear on the same shortlist.
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Fit guide
Great for
- Developers building chatbots for multiple messengers
- Teams needing quick prototyping of conversational flows
- Projects that prefer a JavaScript/TypeScript stack
- Enterprises leveraging Docker for scalable bot deployment
Not ideal when
- Non‑Node environments without language bindings
- Use cases demanding ultra‑low latency native SDKs
- Bots requiring unsupported messaging platforms
- Developers unwilling to manage puppet tokens or configurations
How teams use it
Customer support bot
Automates FAQ responses across WhatsApp and WeChat, reducing manual workload.
Event notification service
Sends real‑time alerts to users on multiple channels with a single codebase.
Community engagement
Runs interactive games and polls in group chats to boost participation.
E‑commerce order tracking
Provides order status updates via chat, improving customer experience.
Tech snapshot
TypeScript75%
JavaScript20%
Shell4%
Dockerfile1%
Frequently asked questions
What Node.js version is required?
Wechaty requires Node.js version 16 or higher.
Which programming languages are supported?
You can write bots in JavaScript, TypeScript, Python, Go, and Java.
Can I run a bot inside Docker?
Yes, the official `wechaty/wechaty` Docker image supports both JavaScript and TypeScript bots.
How do I switch the underlying messaging protocol?
Set the `WECHATY_PUPPET` environment variable to the desired puppet provider (e.g., `wechaty-puppet-puppeteer`).
Is there a free token for development?
Wechaty provides free tokens for the web‑based puppet; additional providers may require separate registration.
Project at a glance
Active- Stars
- 22,350
- Watchers
- 22,350
- Forks
- 2,777
LicenseApache-2.0
Repo age9 years old
Last commitlast month
Primary languageTypeScript
Last synced 3 hours ago