Graviton Terminal Agent

The Graviton Terminal Agent is a sophisticated client that connects to the Graviton MCP Server to execute distributed tasks as part of a coordinated multi-terminal AI development team.

🚀 Features

Core Capabilities

• MCP Protocol Support: Full implementation of Model Context Protocol for Claude CLI integration
• Advanced Connection Management: Exponential backoff, adaptive retry strategies, network monitoring
• Task Execution Engine: Sandboxed execution with worker threads for parallel processing
• Progress Reporting: Real-time progress updates with detailed metrics
• Specialization Profiles: 11 pre-configured profiles for different development roles

Specialization Profiles

• Frontend: React, Vue, Angular, UI/UX development
• Backend: Node.js, Python, Java, API development
• Fullstack: Complete web application development
• DevOps: Infrastructure, CI/CD, monitoring
• Data: Data engineering, analytics, machine learning
• Testing: QA, test automation, performance testing
• Security: Security analysis, penetration testing
• Mobile: iOS, Android, React Native development
• AI/ML: Machine learning, deep learning, NLP
• Blockchain: Smart contracts, DeFi, Web3
• Generic: General-purpose development tasks

📦 Installation

# Install dependencies
npm install

# Build the client
npm run build

# Link globally for CLI usage
npm link

🎯 Quick Start

1. Start the Graviton Server

First, ensure the Graviton server is running:

cd packages/server
npm run dev

2. Start a Terminal Agent

Using CLI

# Start with default profile
graviton-agent start

# Start with specific profile
graviton-agent start --profile frontend

# Start with custom server
graviton-agent start --server my-server.com --ws-port 8081 --api-port 8080

# Verbose mode for debugging
graviton-agent start --verbose

Programmatic Usage

import { TerminalAgent, ProfileTemplate } from '@graviton/client';

const agent = new TerminalAgent({
  profile: ProfileTemplate.BACKEND,
  server: {
    url: 'localhost',
    wsPort: 8081,
    apiPort: 8080,
  },
  execution: {
    sandbox: true,
    workers: true,
    maxParallelTasks: 4,
  },
});

// Start the agent
await agent.start();

// Listen for events
agent.on('task:received', (task) => {
  console.log('New task:', task.taskId);
});

agent.on('task:completed', (result) => {
  console.log('Task completed:', result.taskId);
});

🛠️ CLI Commands

Agent Management

# Start agent
graviton-agent start [options]
  -p, --profile <profile>  Agent profile
  -s, --server <url>       Server URL
  --ws-port <port>         WebSocket port
  --api-port <port>        API port
  -d, --detached          Run in background
  -v, --verbose           Verbose output

# Stop agent
graviton-agent stop

# Check status
graviton-agent status

# List tasks
graviton-agent tasks
graviton-agent tasks --all  # Include completed tasks

Profile Management

# List available profiles
graviton-agent profile list

# Show profile details
graviton-agent profile show frontend

Configuration

# Show configuration
graviton-agent config show

# Set configuration value
graviton-agent config set server.url my-server.com
graviton-agent config set server.wsPort 8081
graviton-agent config set profile backend

🏗️ Architecture

Component Structure

Terminal Agent
├── MCP Client           # Protocol communication
├── Connection Manager   # Advanced retry logic
├── Task Executor       # Sandboxed execution
├── Progress Reporter   # Real-time updates
└── Profile Manager     # Capability management

Task Execution Flow

1. Task Reception: Agent receives task from server
2. Capability Matching: Validates agent can handle the task
3. Context Loading: Loads required context into memory
4. Sandboxed Execution: Runs task in isolated environment
5. Progress Reporting: Sends real-time updates to server
6. Result Submission: Returns results and artifacts

🔧 Advanced Configuration

Custom Profile

import { ProfileFactory, AgentProfile } from '@graviton/client';

const customProfile: AgentProfile = {
  id: 'custom-agent',
  name: 'My Custom Agent',
  description: 'Specialized for specific tasks',
  capabilities: {
    languages: ['javascript', 'python', 'rust'],
    frameworks: ['nextjs', 'fastapi', 'actix'],
    tools: ['docker', 'kubernetes'],
    specializations: ['custom'],
    maxTokens: 200000,
    maxConcurrentTasks: 5,
    performanceScore: 90,
  },
  preferences: {
    preferredTaskTypes: ['api-development', 'optimization'],
    avoidTaskTypes: ['ui-design'],
    maxTaskDuration: 7200000, // 2 hours
    retryAttempts: 3,
    contextStrategy: ContextStrategy.COMPREHENSIVE,
    executionMode: ExecutionMode.PARALLEL,
  },
  metadata: {
    version: '1.0.0',
    environment: 'production',
    platform: process.platform,
    nodeVersion: process.version,
    created: new Date(),
    lastActive: new Date(),
    totalTasksCompleted: 0,
    totalTasksFailed: 0,
    averageCompletionTime: 0,
  },
};

const agent = new TerminalAgent({
  profile: customProfile,
  // ... other config
});

Connection Strategies

import { ConnectionManager, RetryStrategy } from '@graviton/client';

const connectionManager = new ConnectionManager({
  retryStrategy: RetryStrategy.ADAPTIVE, // Adjusts based on network
  maxRetries: 15,
  baseDelay: 500,
  maxDelay: 60000,
  jitterFactor: 0.3,
  networkMonitoring: true,
});

Sandbox Configuration

const agent = new TerminalAgent({
  // ... other config
  execution: {
    sandbox: {
      enabled: true,
      memory: 1024 * 1024 * 1024, // 1GB
      cpu: 2,
      timeout: 60000, // 60s
      allowNetwork: true,
      allowFileSystem: true,
      workingDirectory: '/workspace',
    },
    workers: {
      enabled: true,
      maxWorkers: 8,
      workerTimeout: 120000,
    },
  },
});

📊 Monitoring & Metrics

Real-time Metrics

agent.on('metrics', (metrics) => {
  console.log('Memory:', metrics.memory);
  console.log('CPU:', metrics.cpu);
  console.log('Active Tasks:', metrics.activeTasks);
});

Progress Tracking

agent.on('progress', (update) => {
  console.log(`Task ${update.taskId}: ${update.progress}% - ${update.message}`);
});

Health Checks

connectionManager.on('health:check', (health) => {
  console.log('Latency:', health.latency, 'ms');
  console.log('Status:', health.status);
});

🔌 Integration with Claude CLI

The Terminal Agent is designed to work seamlessly with Claude CLI instances:

1. MCP Protocol: Full support for Model Context Protocol
2. Context Synchronization: Automatic context sharing between terminals
3. Task Distribution: Intelligent routing based on capabilities
4. Result Aggregation: Automatic collection and merging of results

Example Integration

# Terminal 1 - Frontend Specialist
graviton-agent start --profile frontend

# Terminal 2 - Backend Specialist
graviton-agent start --profile backend

# Terminal 3 - Testing Specialist
graviton-agent start --profile testing

# Master Terminal - Submit project
curl -X POST http://localhost:8080/api/tasks/submit \
  -H "Content-Type: application/json" \
  -d '{
    "plan": "Build a full-stack e-commerce application",
    "requirements": {
      "frontend": ["react", "tailwindcss"],
      "backend": ["nodejs", "postgresql"],
      "testing": ["jest", "cypress"]
    }
  }'

🧪 Testing

# Run unit tests
npm test

# Run integration tests
npm run test:integration

# Run with coverage
npm run test:coverage

🐛 Troubleshooting

Connection Issues

# Check server connectivity
curl http://localhost:8080/api/health

# Verify WebSocket connection
wscat -c ws://localhost:8081

# Check agent logs
graviton-agent start --verbose

Task Execution Issues

• Verify agent capabilities match task requirements
• Check available memory and CPU resources
• Review sandbox permissions for file/network access
• Examine task logs in verbose mode

Performance Optimization

• Adjust maxConcurrentTasks based on system resources
• Configure appropriate maxTokens for context management
• Use specialized profiles for better task routing
• Enable worker threads for CPU-intensive tasks

📄 License

MIT

🤝 Contributing

Contributions are welcome! Please read our contributing guidelines and submit pull requests to our repository.

📚 Additional Resources

• Graviton Server Documentation
• MCP Protocol Specification
• API Reference
• Architecture Overview