Overview

Learn about ClawLayer project structure and organization.

What is an ClawLayer Project?

An ClawLayer project is a structured application that uses the ClawLayer framework to create and manage AI agents. Projects can range from simple single-agent applications to complex multi-agent systems.

Project Structure

A typical ClawLayer project has the following structure:

my-clawlayer-project/
├── .env                    # Environment variables
├── .gitignore             # Git ignore file
├── package.json           # Project dependencies
├── tsconfig.json          # TypeScript configuration
├── characters/            # Agent character files
│   ├── agent1.json
│   └── agent2.json
├── plugins/               # Custom plugins
│   └── my-plugin/
│       ├── index.ts
│       └── package.json
├── src/                   # Source code
│   ├── index.ts          # Entry point
│   ├── config.ts         # Configuration
│   └── utils/            # Utility functions
├── tests/                 # Test files
│   └── agent.test.ts
└── dist/                  # Compiled output

Getting Started

Create a New Project

# Create project directory
mkdir my-clawlayer-project
cd my-clawlayer-project

# Initialize npm project
npm init -y

# Install ClawLayer
npm install @clawlayer/core @clawlayer/server

# Install development dependencies
npm install --save-dev typescript @types/node ts-node

# Initialize TypeScript
npx tsc --init

Project Configuration

Create package.json:

{
  "name": "my-clawlayer-project",
  "version": "1.0.0",
  "description": "My ClawLayer AI Agent Project",
  "main": "dist/index.js",
  "scripts": {
    "dev": "ts-node src/index.ts",
    "build": "tsc",
    "start": "node dist/index.js",
    "test": "jest"
  },
  "keywords": ["clawlayer", "ai", "agent"],
  "author": "Your Name",
  "license": "MIT",
  "dependencies": {
    "@clawlayer/core": "^1.0.0",
    "@clawlayer/server": "^1.0.0",
    "dotenv": "^16.0.0"
  },
  "devDependencies": {
    "@types/node": "^20.0.0",
    "typescript": "^5.0.0",
    "ts-node": "^10.0.0"
  }
}

TypeScript Configuration

Update tsconfig.json:

{
  "compilerOptions": {
    "target": "ES2020",
    "module": "commonjs",
    "lib": ["ES2020"],
    "outDir": "./dist",
    "rootDir": "./src",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true,
    "forceConsistentCasingInFileNames": true,
    "resolveJsonModule": true,
    "declaration": true,
    "declarationMap": true,
    "sourceMap": true
  },
  "include": ["src/**/*"],
  "exclude": ["node_modules", "dist", "tests"]
}

Environment Configuration

Create .env file:

# API Keys
CLAW_API_KEY=your_api_key_here
OPENAI_API_KEY=your_openai_key
ANTHROPIC_API_KEY=your_anthropic_key

# Server Configuration
PORT=3000
HOST=0.0.0.0
NODE_ENV=development

# Platform Integrations
DISCORD_BOT_TOKEN=your_discord_token
TWITTER_API_KEY=your_twitter_key
TELEGRAM_BOT_TOKEN=your_telegram_token

# Database
DATABASE_URL=postgresql://user:password@localhost:5432/clawlayer

# Plugin Configuration
WEATHER_API_KEY=your_weather_key

See Environment Variables for complete list.

Project Types

1. Single Agent Project

Simple project with one agent:

// src/index.ts
import { ClawLayer } from '@clawlayer/core';
import dotenv from 'dotenv';

dotenv.config();

async function main() {
  const claw = new ClawLayer({
    apiKey: process.env.CLAW_API_KEY
  });

  // Create agent
  const agent = await claw.agents.create({
    name: 'MyAgent',
    personality: {
      traits: ['helpful', 'friendly'],
      style: 'conversational'
    },
    modelProvider: 'openai',
    model: 'gpt-4'
  });

  console.log('Agent created:', agent.id);

  // Send a message
  const response = await claw.agents.sendMessage(agent.id, {
    text: 'Hello!',
    userId: 'user_123'
  });

  console.log('Agent response:', response.data.response);
}

main().catch(console.error);

2. Multi-Agent Project

Project with multiple specialized agents:

// src/index.ts
import { ClawLayer } from '@clawlayer/core';
import { loadCharacters } from './utils/characters';

async function main() {
  const claw = new ClawLayer({
    apiKey: process.env.CLAW_API_KEY
  });

  // Load character configurations
  const characters = await loadCharacters('./characters');

  // Create agents
  const agents = await Promise.all(
    characters.map(char => claw.agents.create(char))
  );

  console.log(`Created ${agents.length} agents`);

  // Start agent system
  const system = new AgentSystem(claw, agents);
  await system.start();
}

main().catch(console.error);

3. API Server Project

Project that exposes agents via API:

// src/index.ts
import express from 'express';
import { ClawLayer } from '@clawlayer/core';
import { createAgentRoutes } from './routes/agents';

const app = express();
app.use(express.json());

const claw = new ClawLayer({
  apiKey: process.env.CLAW_API_KEY
});

// Setup routes
app.use('/api/agents', createAgentRoutes(claw));

// Health check
app.get('/health', (req, res) => {
  res.json({ status: 'ok' });
});

const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
  console.log(`Server running on port ${PORT}`);
});

4. Platform Integration Project

Project focused on platform integrations:

// src/index.ts
import { ClawLayer } from '@clawlayer/core';
import { DiscordClient } from '@clawlayer/client-discord';
import { TwitterClient } from '@clawlayer/client-twitter';

async function main() {
  const claw = new ClawLayer({
    apiKey: process.env.CLAW_API_KEY
  });

  // Create agent with platform integrations
  const agent = await claw.agents.create({
    name: 'Community Bot',
    clients: ['discord', 'twitter'],
    settings: {
      discord: {
        channels: ['general', 'announcements'],
        respondToMentions: true
      },
      twitter: {
        enableReplies: true,
        postFrequency: '4h'
      }
    }
  });

  // Initialize platform clients
  const discord = new DiscordClient(agent.id);
  const twitter = new TwitterClient(agent.id);

  await Promise.all([
    discord.start(),
    twitter.start()
  ]);

  console.log('Platform integrations active');
}

main().catch(console.error);

Character Files

Create character configurations in JSON format:

// characters/helper.json
{
  "name": "Helper Bot",
  "bio": [
    "I am a helpful AI assistant built on ClawLayer.",
    "I specialize in answering questions and providing assistance.",
    "I'm friendly, patient, and always eager to help."
  ],
  "personality": {
    "traits": ["helpful", "patient", "friendly", "knowledgeable"],
    "style": "professional yet approachable",
    "tone": "warm and supportive"
  },
  "knowledge": [
    "General knowledge and common questions",
    "Technical support and troubleshooting",
    "Product information and guidance"
  ],
  "goals": [
    "Help users solve their problems",
    "Provide accurate and timely information",
    "Create positive user experiences"
  ],
  "modelProvider": "openai",
  "model": "gpt-4",
  "clients": ["discord"],
  "settings": {
    "discord": {
      "channels": ["help", "support"],
      "respondToMentions": true,
      "respondToDMs": true
    }
  }
}

Plugin Integration

Add plugins to your project:

# Install plugins
npm install @clawlayer/plugin-evm @clawlayer/plugin-images

# Use in code
const agent = await claw.agents.create({
  name: 'DeFi Bot',
  plugins: [
    {
      name: '@clawlayer/plugin-evm',
      enabled: true,
      config: {
        chains: ['ethereum', 'polygon']
      }
    }
  ]
});

Development Workflow

Local Development

# Start development server
npm run dev

# Watch for changes
npm run dev:watch

Testing

# Run tests
npm test

# Run with coverage
npm run test:coverage

# Run in watch mode
npm run test:watch

Building

# Build for production
npm run build

# Check build output
ls -la dist/

Running

# Run production build
npm start

# Run with PM2
pm2 start npm --name "clawlayer-app" -- start

Project Management

Version Control

Create .gitignore:

# Dependencies
node_modules/

# Build output
dist/
build/

# Environment variables
.env
.env.local
.env.*.local

# Logs
logs/
*.log

# IDE
.vscode/
.idea/

# OS
.DS_Store
Thumbs.db

# Testing
coverage/

# Temporary files
tmp/
temp/

Documentation

Maintain project documentation:

docs/
├── README.md           # Project overview
├── SETUP.md           # Setup instructions
├── API.md             # API documentation
├── AGENTS.md          # Agent configurations
└── DEPLOYMENT.md      # Deployment guide

Best Practices

1. Environment Variables: Never commit .env files

2. Character Files: Keep characters in version control

3. Type Safety: Use TypeScript for type safety

4. Testing: Write tests for critical functionality

5. Documentation: Document your agents and configurations

6. Error Handling: Implement proper error handling

7. Logging: Use structured logging

8. Security: Validate all inputs and sanitize data

Project Templates

Start with a template:

# Clone template
git clone https://github.com/clawlayer/template-basic.git my-project

# Or use a specific template
git clone https://github.com/clawlayer/template-discord-bot.git
git clone https://github.com/clawlayer/template-defi-agent.git
git clone https://github.com/clawlayer/template-multi-agent.git

Next Steps

• Environment Variables - Configure your project

• Quickstart Guide - Build your first agent

• Deployment Guide - Deploy your project

Examples

Browse example projects:

• Basic Agent

• Discord Bot

• DeFi Trading Bot

• Multi-Agent System

Need Help?

• Discord Community

• GitHub Discussions

• GitHub Issues