claw-agents

OpenClaw Multi-Agent Configuration Suite - Pre-Built Templates

claw-agents is a configuration suite for OpenClaw that provides pre-built configurations and templates for deploying multi-agent systems. With ready-to-use templates for common multi-agent patterns, claw-agents enables quick setup of coordinated AI teams without complex configuration from scratch. GitHub: https://github.com/partme-ai/claw-agents Developer: partme-ai (Community Open Source) License: MIT Requires: OpenClaw installation Key Innovation: claw-agents eliminates the complexity of multi-agent configuration by providing ready-to-deploy templates, allowing users to quickly set up sophisticated multi-agent teams with minimal effort.

Core Philosophy: "Multi-agent systems should be as easy as copying a config file"

Why claw-agents?

Pre-Built Templates: Ready configurations for common patterns.

OpenClaw Native: Seamless integration with OpenClaw ecosystem.

Quick Deployment: Go from zero to multi-agent in minutes.

Well Documented: Clear examples and usage guides.

Configuration Templates

Basic Team

# templates/basic-team.yaml
name: Basic Team
agents:
  - name: coordinator
    role: coordinator
    model: gpt-4o
    capabilities:
      - task_management
      - communication
      
  - name: worker
    role: worker
    model: gpt-4o-mini
    count: 3
    capabilities:
      - task_execution

Research Team

# templates/research-team.yaml
name: Research Team
agents:
  - name: lead_researcher
    role: lead
    model: gpt-4o
    capabilities:
      - research_planning
      - quality_review
      
  - name: researcher
    role: researcher
    model: gpt-4o-mini
    count: 5
    capabilities:
      - information_gathering
      - analysis
      
  - name: writer
    role: writer
    model: claude-sonnet-4
    capabilities:
      - report_writing
      - editing

Development Team

# templates/dev-team.yaml
name: Development Team
agents:
  - name: tech_lead
    role: lead
    model: gpt-4o
    capabilities:
      - architecture
      - code_review
      
  - name: developer
    role: developer
    model: gpt-4o
    count: 3
    capabilities:
      - coding
      - testing
      
  - name: devops
    role: devops
    model: gpt-4o-mini
    capabilities:
      - deployment
      - monitoring

Key Features

$#1.
Pre-Built Configurations

• Basic team template
• Research team template
• Development team template
• Support team template
• Custom template builder

$#2.
Role Definitions

• Coordinator role
• Worker role
• Researcher role
• Writer role
• Developer role
• Custom roles

$#3.
Communication Setup

• Inter-agent messaging
• Broadcast channels
• Direct messaging
• Group coordination
• Status reporting

$#4.
Coordination Patterns

• Hierarchical coordination
• Peer-to-peer collaboration
• Task distribution
• Result aggregation
• Quality review

$#5.
Example Scenarios

• Market research workflow
• Content creation pipeline
• Code development flow
• Customer support team
• Data analysis team

Installation

Prerequisites

# OpenClaw must be installed first
openclaw --version  # Should be 1.0+

Install claw-agents

# Clone repository
git clone https://github.com/partme-ai/claw-agents.git
cd claw-agents

# Copy templates to OpenClaw
cp -r templates ~/.openclaw/templates/

# Or use symlink
ln -s $(pwd)/templates ~/.openclaw/templates

Quick Setup

# Initialize with template
openclaw agents init --template basic-team

# Or choose from menu
openclaw agents init

Usage

Deploy Team

# Deploy from template
openclaw agents deploy basic-team

# Deploy custom config
openclaw agents deploy my-config.yaml

# Check status
openclaw agents status

Run Workflow

# Run research workflow
openclaw workflow run research-team --task "Research AI trends"

# Run development workflow
openclaw workflow run dev-team --task "Build REST API"

Customize Template

# Copy template
cp templates/basic-team.yaml configs/my-team.yaml

# Edit configuration
# Add/modify agents, roles, capabilities

# Deploy custom config
openclaw agents deploy configs/my-team.yaml

Pricing

Free: claw-agents is completely free and open source under MIT license. You only pay for the AI models you use through OpenClaw.

System Requirements

Use Cases

Quick Multi-Agent Setup

Deploy multi-agent teams quickly with pre-built templates.

OpenClaw Team Deployment

Add team capabilities to OpenClaw installations.

Configuration Templates

Use and customize templates for specific needs.

Learning Multi-Agent Patterns

Study and learn from example configurations.

Prototyping Agent Teams

Quickly prototype different team structures.

Production Configurations

Deploy battle-tested configurations to production.

Community and Support

• GitHub: https://github.com/partme-ai/claw-agents
• Documentation: https://github.com/partme-ai/claw-agents#readme
• Issues: GitHub Issues tab
• Discussions: GitHub Discussions tab
• OpenClaw Community: Compatible with OpenClaw ecosystem

Quick Start Guide

Get claw-agents up and running quickly.

Step 1: Install

cd claw-agents
npm install
npx claw-agents setup

Step 2: Configure

Set your AI model and API key in the configuration.

Step 3: Connect and Go

Link your messaging platform and start using your AI agent.

Full documentation: https://github.com/partme-ai/claw-agents#readme

FAQ

Is claw-agents free to use?

Yes, claw-agents is free and open source (MIT license). You only pay for AI model API costs if using external models.

What are the system requirements for claw-agents?

claw-agents requires 1GB RAM of RAM minimum. Runtime: OpenClaw. It runs on Windows, macOS, and Linux.

Can I self-host claw-agents?

Yes. claw-agents is open source (MIT) and can be self-hosted on your own hardware. Clone the repository from GitHub and follow the installation guide.

How does claw-agents compare to OpenClaw?

claw-agents offers a different approach compared to OpenClaw. While OpenClaw provides the largest ecosystem with 13,729+ skills and maximum flexibility, claw-agents focuses on multi-agent. Choose claw-agents if you prioritize its specific features; choose OpenClaw for the broadest compatibility and community support.

Is claw-agents suitable for beginners?

claw-agents requires some technical knowledge to set up (OpenClaw). If you are a beginner, consider starting with QClaw (one-click install) or MaxClaw (cloud-based, no setup) first, then graduate to claw-agents as you gain experience.

License

MIT License - Free for personal and commercial use.

Tags

multi-agent, openclaw, configuration, templates, suite, deployment, yaml, quick-setup