awesome-openclaw-agents-templates

name	awesome-openclaw-agents-templates
description	Access and use 200+ production-ready AI agent templates for OpenClaw with SOUL.md configs across 24 categories
triggers	["show me openclaw agent templates","how do I create a SOUL.md file","find an agent template for [task]","what openclaw agents are available","help me set up an openclaw agent","configure a productivity agent","deploy an openclaw agent template","what's in the awesome-openclaw-agents collection"]

Awesome OpenClaw Agents Templates

Skill by ara.so — Hermes Skills collection.

This skill provides access to 205+ production-ready AI agent templates from the awesome-openclaw-agents repository. Each template is a copy-paste ready SOUL.md configuration file that defines an AI agent's personality, skills, and behavior for the OpenClaw ecosystem.

What This Collection Provides

The awesome-openclaw-agents repository offers:

• 205 agent templates across 24 categories (Productivity, Development, Marketing, Business, DevOps, Finance, etc.)
• Copy-paste SOUL.md files that define agent behavior
• Pre-configured integrations with popular tools (Slack, GitHub, Notion, etc.)
• Quick deployment patterns using Node.js, Docker, or CrewClaw
• Real-world use cases for each agent type

Installation & Setup

Quick Start with Any Template

# Clone the repository
git clone https://github.com/mergisi/awesome-openclaw-agents.git
cd awesome-openclaw-agents/quickstart

# Install dependencies
npm install

# Copy a template (example: Orion project manager)
cp ../agents/productivity/orion/SOUL.md ./SOUL.md

# Run the agent
node bot.js

Using with OpenClaw CLI

# Register an agent from a SOUL.md file
openclaw agents add --from ./agents/productivity/orion/SOUL.md

# Start the OpenClaw gateway
openclaw gateway start

# List registered agents
openclaw agents list

SOUL.md Configuration Format

Every agent template is a SOUL.md file with this structure:

# Agent Name

## Core Identity
- Role: [Primary function]
- Tone: [Communication style]
- Goal: [Main objective]

## Capabilities
- [Skill 1]
- [Skill 2]
- [Skill 3]

## Integrations
- Tool: [Service name]
  Config: [Configuration details]

## Behavior Patterns
- When [condition]: [action]
- Trigger: [event] → Response: [behavior]

## Memory
- Track: [what to remember]
- Forget: [what to discard]

Key Agent Categories

Productivity Agents

// Example: Setting up the Orion project manager agent
const fs = require('fs');
const path = require('path');

// Copy Orion template
const orionSOUL = fs.readFileSync(
  path.join(__dirname, 'agents/productivity/orion/SOUL.md'),
  'utf8'
);

// Save to your project
fs.writeFileSync('./SOUL.md', orionSOUL);

// Use cases for Orion:
// - Daily task prioritization
// - Deadline tracking
// - Team alignment
// - Project status updates

Development Agents

// Example: Code reviewer (Lens) setup
const lensConfig = {
  agent: 'lens',
  role: 'PR review, security scanning, code quality',
  triggers: ['pr opened', 'pr updated'],
  integrations: {
    github: {
      token: process.env.GITHUB_TOKEN,
      webhooks: ['pull_request']
    }
  }
};

// Load template
const lensSOUL = fs.readFileSync(
  './agents/development/code-reviewer/SOUL.md',
  'utf8'
);

// Configure for your repo
const customSOUL = lensSOUL.replace(
  '{{REPO}}',
  process.env.GITHUB_REPO
);

Marketing Agents

// Example: Content writer (Echo) agent
const echoTemplate = `
# Echo - Content Writer Agent

## Core Identity
- Role: Blog post generation, SEO optimization
- Tone: Professional, engaging, clear
- Goal: Create high-quality content that ranks

## Capabilities
- Generate blog posts from topics
- Optimize for target keywords
- Create meta descriptions
- Suggest internal linking

## Integrations
- Tool: OpenAI API
  Config: Model GPT-4, Temperature 0.7
- Tool: Ahrefs
  Config: API Key from process.env.AHREFS_API_KEY
`;

fs.writeFileSync('./SOUL.md', echoTemplate);

Common Agent Patterns

1. Scheduled Task Agent

// Daily standup collection agent
const standupAgent = {
  schedule: '0 9 * * *', // 9 AM daily
  action: 'collect standup responses',
  integrations: ['slack'],
  
  behavior: `
    Send message to #standup channel:
    "Good morning! Please share:
    - Yesterday's progress
    - Today's plans
    - Blockers"
    
    Collect responses for 30 minutes.
    Generate summary report.
    Post to #management channel.
  `
};

2. Event-Driven Agent

// PR reviewer agent (webhooks)
const prReviewerAgent = {
  trigger: 'github.pull_request.opened',
  
  workflow: [
    'Fetch PR diff',
    'Analyze code changes',
    'Check for security issues',
    'Verify test coverage',
    'Post review comment'
  ],
  
  config: {
    github: {
      webhook_url: process.env.GITHUB_WEBHOOK_URL,
      secret: process.env.GITHUB_WEBHOOK_SECRET
    }
  }
};

3. Interactive Chat Agent

// Customer support agent
const supportAgent = {
  interface: 'telegram',
  memory: 'redis',
  
  behavior: `
    Greet users warmly.
    Understand their issue through questions.
    Search knowledge base for solutions.
    If no solution found, escalate to human.
    Track conversation history.
  `,
  
  integrations: {
    telegram: {
      token: process.env.TELEGRAM_BOT_TOKEN
    },
    redis: {
      url: process.env.REDIS_URL
    },
    zendesk: {
      api_key: process.env.ZENDESK_API_KEY,
      subdomain: process.env.ZENDESK_SUBDOMAIN
    }
  }
};

Running Agents

Node.js Quickstart Template

// bot.js - Basic agent runner
const fs = require('fs');
const { OpenAI } = require('openai');

// Load SOUL.md configuration
const soulConfig = fs.readFileSync('./SOUL.md', 'utf8');

// Initialize OpenAI (or your LLM provider)
const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY
});

// Agent runtime
async function runAgent(userInput) {
  const completion = await openai.chat.completions.create({
    model: 'gpt-4',
    messages: [
      {
        role: 'system',
        content: soulConfig // SOUL.md defines behavior
      },
      {
        role: 'user',
        content: userInput
      }
    ]
  });
  
  return completion.choices[0].message.content;
}

// Example usage
runAgent('What tasks are due today?').then(console.);

Docker Deployment

# Dockerfile for any agent
FROM node:18-alpine

WORKDIR /app

COPY package*.json ./
RUN npm install

COPY SOUL.md ./
COPY bot.js ./

ENV OPENAI_API_KEY=""
ENV AGENT_PORT=3000

EXPOSE 3000

CMD ["node", "bot.js"]

# docker-compose.yml
version: '3.8'

services:
  openclaw-agent:
    build: .
    ports:
      - "3000:3000"
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - REDIS_URL=redis://redis:6379
    depends_on:
      - redis
  
  redis:
    image: redis:alpine
    ports:
      - "6379:6379"

Finding the Right Agent Template

By Category

# List all productivity agents
ls agents/productivity/

# Output:
# orion/          - Project manager
# metrics/        - Analytics dashboard
# daily-standup/  - Standup collection
# inbox-zero/     - Email triage
# meeting-notes/  - Meeting summaries

By Use Case

// Search agents.json programmatically
const agents = require('./agents.json');

function findAgent(useCase) {
  return agents.filter(agent => 
    agent.specialty.toLowerCase().includes(useCase.toLowerCase()) ||
    agent.whenToUse.toLowerCase().includes(useCase.toLowerCase())
  );
}

// Example: Find agents for "email"
const emailAgents = findAgent('email');
// Returns: [{ name: 'Inbox', specialty: 'Email triage...', ... }]

Customizing Templates

Basic Customization

<!-- Original SOUL.md -->
# Orion - Project Manager

## Core Identity
- Role: Task coordination
- Tone: Professional

<!-- Customized version -->
# Orion - Engineering PM

## Core Identity
- Role: Engineering task coordination for team X
- Tone: Technical, direct, async-first
- Context: Remote team across 3 timezones

## Custom Rules
- Tag urgent tasks with 🚨
- Use engineering terminology
- Link to Linear tickets

Adding Integrations

## Integrations

- Tool: Slack
  Config:
    Webhook: process.env.SLACK_WEBHOOK_URL
    Channel: #engineering
    Mention: @channel for P0 items

- Tool: Linear
  Config:
    API Key: process.env.LINEAR_API_KEY
    Team ID: process.env.LINEAR_TEAM_ID
    Auto-create tickets: true

- Tool: GitHub
  Config:
    Token: process.env.GITHUB_TOKEN
    Repos: ['org/backend', 'org/frontend']
    Track PRs: true

Configuration Patterns

Environment Variables Setup

# .env file for any agent
OPENAI_API_KEY=sk-...
ANTHROPIC_API_KEY=sk-ant-...

# Integration tokens
SLACK_TOKEN=xoxb-...
GITHUB_TOKEN=ghp_...
NOTION_TOKEN=secret_...

# Database
REDIS_URL=redis://localhost:6379
POSTGRES_URL=postgresql://user:pass@localhost/db

# Agent-specific
AGENT_NAME=orion
AGENT_TIMEZONE=America/New_York
AGENT_LANGUAGE=en

Multi-Agent Setup

// multi-agent.js - Run multiple agents
const agents = [
  { name: 'orion', soul: './agents/productivity/orion/SOUL.md' },
  { name: 'lens', soul: './agents/development/code-reviewer/SOUL.md' },
  { name: 'echo', soul: './agents/marketing/echo/SOUL.md' }
];

agents.forEach(agent => {
  const config = fs.readFileSync(agent.soul, 'utf8');
  
  // Spawn agent process
  const child = spawn('node', ['bot.js'], {
    env: {
      ...process.env,
      AGENT_NAME: agent.name,
      SOUL_CONFIG: config
    }
  });
  
  console.log(`Started ${agent.name} agent`);
});

Troubleshooting

Agent Not Responding

// Debug mode
const DEBUG = process.env.DEBUG === 'true';

async function runAgent(input) {
  if (DEBUG) {
    console.log('Input:', input);
    console.log('SOUL config length:', soulConfig.length);
  }
  
  try {
    const response = await openai.chat.completions.create({...});
    if (DEBUG) console.log('Response:', response);
    return response.choices[0].message.content;
  } catch (error) {
    console.error('Agent error:', error.message);
    return 'Error processing request';
  }
}

Common Issues

1. Missing environment variables

   # Check all required vars are set
   node -e "console.log(process.env.OPENAI_API_KEY ? 'OK' : 'MISSING')"
   

2. SOUL.md parsing errors

   // Validate SOUL.md format
   const soul = fs.readFileSync('./SOUL.md', 'utf8');
   if (!soul.includes('# ')) {
     throw new Error('Invalid SOUL.md: missing heading');
   }
   

3. Integration failures

   // Test integrations independently
   const testSlack = await fetch(process.env.SLACK_WEBHOOK_URL, {
     method: 'POST',
     body: JSON.stringify({ text: 'Test' })
   });
   console.log('Slack test:', testSlack.ok ? 'OK' : 'FAILED');
   

Advanced Usage

Memory & State Management

// redis-memory.js - Persistent agent memory
const Redis = require('ioredis');
const redis = new Redis(process.env.REDIS_URL);

async function rememberContext(agentName, userId, context) {
  const key = `agent:${agentName}:user:${userId}`;
  await redis.set(key, JSON.stringify(context), 'EX', 86400); // 24h
}

async function recallContext(agentName, userId) {
  const key = `agent:${agentName}:user:${userId}`;
  const data = await redis.get(key);
  return data ? JSON.parse(data) : null;
}

// Use in agent
const context = await recallContext('orion', userId);
const response = await runAgent(userInput, context);
await rememberContext('orion', userId, { ...context, : userInput });

Agent Chaining

// Chain multiple agents for complex workflows
async function processCustomerRequest(request) {
  // Step 1: Categorize with support agent
  const category = await runAgent('support', 
    `Categorize this request: ${request}`
  );
  
  // Step 2: Route to specialist
  let specialist;
  if (category.includes('technical')) specialist = 'tech-support';
  else if (category.includes('billing')) specialist = 'billing';
  else specialist = 'general';
  
  // Step 3: Generate response
  const response = await runAgent(specialist, request);
  
  // Step 4: QA check
  const qaResult = await runAgent('qa-agent',
    `Review this response: ${response}`
  );
  
  return qaResult.includes('approved') ? response : 'Escalate to human';
}

Best Practices

1. Start with a template, customize incrementally
2. Use environment variables for all secrets
3. Test integrations separately before combining
4. Version control your SOUL.md files
5. Monitor agent behavior in production
6. Set rate limits for API calls
7. Implement logging for debugging
8. Use Redis/DB for persistent memory

Resources

• Repository: https://github.com/mergisi/awesome-openclaw-agents
• Deploy packages: https://crewclaw.com/agents
• Agent JSON index: agents.json in repo root
• Troubleshooting: TROUBLESHOOTING.md in repo
• Newsletter: Weekly agent templates & tips