# Connect LangChain to WhatsApp | Novu Connect

> Give your LangChain agent a voice in WhatsApp with Novu Connect.

Canonical: https://novu.co/channels/whatsapp/langchain/

Markdown: https://novu.co/channels/whatsapp/langchain.md

LangChain is the open-source framework for building agents and LLM apps in Python and JavaScript. Novu Connect gives it a voice in WhatsApp.

Novu Connect is the communication layer, the ACI, Agent Communication Infrastructure, bridge between your LangChain agent and WhatsApp. Your agent keeps running in your app. Novu delivers its messages to WhatsApp, maps each user, and forwards their replies back to your handler. We never run your agent's reasoning. That is the whole point.

Connect command: npx novu connect --channel whatsapp --runtime langchain

## What is LangChain

LangChain gives developers the building blocks for agents: models, tools, memory, and control flow. You compose chains and agents, wire in your own tools, and keep the reasoning in your codebase. LangChain runs the agent. It does not carry the conversation to your users. That last mile, reaching a person in Slack and routing their reply back to your agent, is what Novu Connect adds.

- Tool calling and structured output for real agent actions
- Memory and retrieval for context across a conversation
- Runs in Python or JavaScript, in your own app
- A large ecosystem of integrations you already use

## How to connect LangChain to WhatsApp

1. Keep your LangChain agent: Your agent, tools, and memory stay in your codebase exactly as they are. Novu Connect wraps the input and output, so your LangChain logic does not change when you add WhatsApp.
2. Connect the channel: Run npx novu connect --channel whatsapp --runtime langchain. The CLI scaffolds a bridge route in your app and connects WhatsApp. You can also paste the prompt below into your coding agent and let it wire the bridge for you.
3. Wire the bridge handler: The CLI prints a requirements file with the bridge route and handler. Point it at your LangChain agent so messages from WhatsApp reach your agent and its replies route back to the same conversation.
4. Go live: Sign in to keep the agent live, then run your dev server. Your LangChain agent now holds a two-way conversation in WhatsApp, and the same agent can reach every other channel from one thread.

Prompt for your coding agent: Connect this project's LangChain agent to WhatsApp with Novu using instructions from https://novu.co/agents.md

## LangChain and WhatsApp, common questions

### Do I have to rewrite my LangChain agent to add WhatsApp?

No. Novu Connect uses a custom-code bridge. Your LangChain agent keeps running in your app. Novu forwards messages from WhatsApp to your handler and routes replies back, so your agent code stays the same.

### Does Novu run my LangChain agent?

No. Novu Connect is the communication layer, the ACI, Agent Communication Infrastructure, bridge between your agent and WhatsApp. You own the reasoning and the tools. We never run your brain, that is the whole point.

### Is the conversation two-way, or just outbound messages?

Two-way. Novu Connect maps each WhatsApp user to your LangChain agent and forwards their replies back into the same conversation, with retries on delivery.

### How do I connect my AI agent to WhatsApp?

Connect WhatsApp from the Novu dashboard. Novu is an official Meta Business Partner, so the embedded signup lets you pick your business number and go live in about 5 minutes, then your agent talks to users through Novu Connect.

### Do I need my own WhatsApp Business account?

Yes. WhatsApp requires a verified business account through Meta. Novu Connect handles the connection with embedded signup, so you log in once and Novu manages templates, delivery, and two-way routing after that.