Langgraph Whatsapp Agent
What is Langgraph Whatsapp Agent
langgraph-whatsapp-agent is a template for building AI agents that interact with users via WhatsApp, utilizing LangGraph and Twilio. It allows for message and image processing and supports custom graph-based agents.
Use cases
Use cases include automated customer service responses, interactive marketing campaigns, educational tutoring via WhatsApp, and integration with other applications through MCP servers.
How to use
To use langgraph-whatsapp-agent, fork the repository, build your agent using the provided template structure, deploy it on the LangGraph Platform, and configure the Twilio webhook to point to your deployment URL.
Key features
Key features include custom LangGraph-powered agents for WhatsApp, multi-agent support, integration with MCP servers, image processing capabilities, persistent conversation state, request validation for security, comprehensive observability via LangSmith, and easy deployment.
Where to use
langgraph-whatsapp-agent can be used in various fields such as customer support, e-commerce, education, and any domain requiring interactive communication through WhatsApp.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Langgraph Whatsapp Agent
langgraph-whatsapp-agent is a template for building AI agents that interact with users via WhatsApp, utilizing LangGraph and Twilio. It allows for message and image processing and supports custom graph-based agents.
Use cases
Use cases include automated customer service responses, interactive marketing campaigns, educational tutoring via WhatsApp, and integration with other applications through MCP servers.
How to use
To use langgraph-whatsapp-agent, fork the repository, build your agent using the provided template structure, deploy it on the LangGraph Platform, and configure the Twilio webhook to point to your deployment URL.
Key features
Key features include custom LangGraph-powered agents for WhatsApp, multi-agent support, integration with MCP servers, image processing capabilities, persistent conversation state, request validation for security, comprehensive observability via LangSmith, and easy deployment.
Where to use
langgraph-whatsapp-agent can be used in various fields such as customer support, e-commerce, education, and any domain requiring interactive communication through WhatsApp.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
LangGraph WhatsApp Agent
A template for building WhatsApp agents using LangGraph and Twilio. This project enables you to deploy AI agents that interact with users via WhatsApp, process messages and images, and invoke custom graph-based agents hosted on the LangGraph Platform.
It provides a foundation for building scalable, secure, and maintainable AI agent services.
Fork this repo and iterate to create your production-ready solution.
Features
- Create custom LangGraph-powered agents for WhatsApp
- Support for multi-agents with supervisor-based architecture
- Integration with Model Context Protocol (MCP) servers (Supermemory, Sapier, etc.)
- Support for image processing and multimodal interactions
- Persistent conversation state across messages
- Request validation for security
- Comprehensive observability via LangSmith
- Easy deployment with LangGraph Platform
Stack
- WhatsApp Integration: Twilio API for messaging and multimedia handling
- Agent Framework: LangGraph (by LangChain) as the MCP client and multi-agent system using langgraph_supervisor
- Models: Supports Google Gemini, OpenAI GPT models, and more
- MCP Servers:
Using langchain-mcp-adapters- Supermemory
- Zapier for access to thousands of apps and integrations (Google, Slack, Spotify, etc.)
- Observability: Complete tracing with LangSmith
- Deployment: LangGraph Platform for simplified production hosting
Prerequisites
- Twilio account with WhatsApp integration
- API key for LLM access (OpenAI, Google, etc.)
- LangGraph Platform access
- (Optional) MCP server configurations
Getting Started
- Fork this repository to start your own project
- Build your agent using the template structure
- Deploy to LangGraph Platform
- Configure Twilio webhook to point to your LangGraph deployment URL (/whatsapp)
License
This project is licensed under the terms included in the LICENSE file.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
