Multi-Agent System

DevOS uses a team of specialized AI agents that collaborate to handle every aspect of software development. The Orchestrator coordinates all agents automatically.

How It Works

User Input → Orchestrator → [Planner → Coder → Executor → Debugger → Reviewer → Deployer]
                                          ↑_____________Auto-Fix Loop_____________↓

Each agent has a specific role and communicates through the Orchestrator. When you run a command like devos goal, the full pipeline activates automatically.

🎯 Orchestrator

The central coordinator that routes tasks to the right agents. It understands natural language and converts your intent into structured agent operations.

Capabilities:

  • Natural language to structured task conversion
  • Task dependency resolution and sequencing
  • Retry logic with exponential backoff
  • Progress tracking across multi-step operations

📋 Planner Agent

Analyzes requirements and creates detailed implementation plans as structured JSON task lists.

Input: "Build a blog with auth"
Output: [
  { "task": "Create Next.js project structure", "priority": 1 },
  { "task": "Set up database schema", "priority": 2 },
  { "task": "Implement JWT authentication", "priority": 3 },
  { "task": "Create blog post API routes", "priority": 4 },
  { "task": "Build UI components", "priority": 5 },
  { "task": "Write tests", "priority": 6 }
]

💻 Coder Agent

Generates, edits, and refactors code. Supports file creation, AST-based editing, and test generation.

Features:

  • Full file generation from descriptions
  • Targeted editing with natural language instructions
  • Multi-file project generation
  • Test generation for existing code
  • Respects project conventions and existing patterns

🔧 Debugger Agent

Analyzes errors and automatically generates fixes. Works in a loop with the Executor for auto-repair.

  • Stack trace analysis and root cause identification
  • Auto-fix with file patching
  • Missing dependency detection and installation
  • Infinite loop prevention

📝 Reviewer Agent

Reviews code quality, identifies issues, and suggests improvements.

  • Code quality scoring (1-10)
  • Security vulnerability detection
  • Performance issue identification
  • Best practice suggestions
  • Automated refactoring

▶️ Executor Agent

Runs processes, manages servers, and executes tests.

  • Auto-detects project type (Node, Python, Go, Rust)
  • Process lifecycle management
  • Test runner integration
  • Output capture and error forwarding

🚀 Deployer Agent

Handles deployment to Vercel, Railway, Fly.io, Docker, and more.

  • Platform auto-detection
  • Dockerfile generation
  • Environment variable sync
  • Deployment history and rollback

📊 Monitor Agent

Monitors deployed applications and triggers self-healing when issues are detected.

  • HTTP health checks
  • Process monitoring
  • Auto-restart on failure
  • Notification on status changes