workflowadvancedOpenCLAW

Implementing Multi-Agent Workflows with OpenCLAW (2026 Edition)

OpenCLAW is an open-source framework for building local AI agent teams that automate business processes. This guide details a 7-phase roadmap for implementing multi-agent workflows, starting with a single high-value task like automating customer support or billing.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# Set Up Workflow: Implementing Multi-Agent Workflows with OpenCLAW (2026 Edition)

## What This Is
OpenCLAW is an open-source framework for building local AI agent teams that automate business processes. This guide details a 7-phase roadmap for implementing multi-agent workflows, starting with a single high-value task like automating customer support or billing.

Source: https://www.hireoverseas.com/blogs/openclaw-implementation

## Before You Start

Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)

Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?

## Source Access Note

The source URL (https://www.hireoverseas.com/blogs/openclaw-implementation) may not be directly accessible from the terminal. Use the Reference Implementation and Additional Context sections below instead. If you need more details, ask me to paste relevant content from the source.

## What to Implement

This is an **AI Workflow** — an end-to-end automation pattern or integration pipeline.

- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files

## Additional Context

- Create a new project directory named `openclaw-docker` and generate a `docker-compose.yml` file within it using the provided code snippet to configure the OpenCLAW service.
- Initialize a new Node.js project (Node.js 24+ required) for developing custom OpenCLAW skills. Scan the user's workspace to identify intended CRM/ERP systems and install their respective API client libraries (e.g., `npm install @hubspot/api-client @stripe/stripe-js`).
- Create a new file `IMPLEMENTATION_PLAN.md` and populate it with the 7-phase roadmap (Planning, Setup, Integration, Workflows, Testing, Deployment, Scaling). Add placeholders for API keys (Claude/OpenAI/Ollama), integration credentials, and a security checklist that includes binding the Gateway to a loopback address.

## Reference Implementation

```
version: '3.8'
services:
  openclaw:
    image: openclaw/openclaw:latest
    container_name: openclaw
    restart: unless-stopped
```

## Guidelines

- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it

3,344 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Create a new project directory named `openclaw-docker` and generate a `docker-compose.yml` file within it using the provided code snippet to configure the OpenCLAW service.
02Initialize a new Node.js project (Node.js 24+ required) for developing custom OpenCLAW skills. Scan the user's workspace to identify intended CRM/ERP systems and install their respective API client libraries (e.g., `npm install @hubspot/api-client @stripe/stripe-js`).
03Create a new file `IMPLEMENTATION_PLAN.md` and populate it with the 7-phase roadmap (Planning, Setup, Integration, Workflows, Testing, Deployment, Scaling). Add placeholders for API keys (Claude/OpenAI/Ollama), integration credentials, and a security checklist that includes binding the Gateway to a loopback address.

CODE INTELLIGENCE

bash

version: '3.8'
services:
  openclaw:
    image: openclaw/openclaw:latest
    container_name: openclaw
    restart: unless-stopped

FIELD OPERATIONS

Automated Slack Support Triage Agent

Build a multi-agent system where one OpenCLAW agent monitors a Slack support channel. A second agent queries a knowledge base (e.g., a vector database of documentation) to answer user questions. A third agent escalates unresolved issues by creating a Jira ticket and tagging the on-call engineer.

E-commerce Order Fulfillment Orchestrator

Create an OpenCLAW workflow that triggers on a new Shopify order. One agent validates the order, a second checks inventory levels in an ERP system, a third processes the payment via Stripe's API, and a final agent sends a confirmation email and a shipping label request to the warehouse system.

STRATEGIC APPLICATIONS

→Automate the lead-to-payment lifecycle for a SaaS startup. An OpenCLAW agent team can handle new user sign-ups from a CRM, validate their information, provision a trial account, trigger billing via Stripe upon trial completion, and handle dunning for failed payments.
→Implement a 24/7 automated IT helpdesk. Use OpenCLAW agents to monitor channels like Telegram or WhatsApp for support requests. One agent provides initial triage, another attempts to resolve common issues by running diagnostic scripts, and a third escalates critical system failures to human operators with a full context report.