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adiytharpansa
adiytharpansaCOMMUNITY
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openclaw-whatsapp

Connect OpenClaw agents to WhatsApp via a Go-based bridge for automated messaging.

Updated Apr 11, 2026
Search Tags:#ai agent#api integration#whatsapp#openclaw#contact sync#message automation#chat bridge
One-click install
npx skills add https://github.com/adiytharpansa/Openclaw-backup --skill openclaw-whatsapp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-whatsapp
Source: https://github.com/adiytharpansa/Openclaw-backup/tree/main/skills/openclaw-whatsapp
Command: npx skills add https://github.com/adiytharpansa/Openclaw-backup --skill openclaw-whatsapp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, curl, flock, timeout, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the challenge of connecting OpenClaw agents with WhatsApp so users can automate messaging, handle incoming conversations, and manage WhatsApp communication from an AI workflow.

Core Features & Use Cases

  • WhatsApp Bridge Integration: Connects OpenClaw agents to WhatsApp for sending and receiving messages through a dedicated bridge service.
  • AI Auto-Replies and Message Management: Processes incoming chats, maintains conversation context, searches message history, and syncs contacts for automated assistance.
  • Use Case: Build a customer support or sales assistant that responds to WhatsApp messages, retrieves recent conversations, and sends natural replies automatically.

Quick Start

Use the openclaw-whatsapp skill to configure a WhatsApp bridge and enable an AI agent to reply to incoming messages.

Frequently Asked Questions about openclaw-whatsapp

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect an AI agent to WhatsApp for automated message handling?▼

You can connect an AI agent to WhatsApp by configuring a Go-based WhatsApp bridge that links OpenClaw agent execution with messaging workflows. This enables automated communication, contact synchronization, and conversational automation for incoming chats.

Can I use this to build a WhatsApp customer support assistant that replies automatically?▼

Yes, you can build a customer support or sales assistant that uses an AI agent to process incoming WhatsApp messages, maintain conversation context, search message history, and send natural replies automatically through the bridge service.

How does message queue processing work with the WhatsApp bridge?▼

Message queue processing uses relay scripts and API endpoints to handle WhatsApp messages reliably. The system applies flock and timeout dependencies to manage message operations, ensuring queued conversations are processed sequentially without conflicts.

Do I need a Go-based WhatsApp bridge to run the OpenClaw agent integration?▼

Yes, a Go-based WhatsApp bridge is required to connect OpenClaw agents with WhatsApp messaging workflows. You also need Python3, curl, and configured API endpoints for reliable message operations and contact synchronization.

What's the best way to sync contacts and search message history for WhatsApp conversations?▼

The best way to sync contacts and search message history is through the WhatsApp bridge integration, which processes incoming chats and maintains conversation context using relay scripts and queue processing for automated assistance.

Why does my WhatsApp message automation stop working during high conversation volumes?▼

Message automation may stop during high volumes if queue processing limits are reached or if the timeout dependency terminates long-running relay scripts. Ensure API endpoints and the Go-based bridge are properly configured for reliable operations.

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