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Overview

The Orgo API lets you create projects, provision virtual computers, and control them programmatically. Build AI agent fleets, automation workflows, or browser testing at scale.

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Authentication

All requests require a Bearer token: 
Authorization: Bearer your_api_key
Get your API key at orgo.ai/projects.

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Base URL

https://www.orgo.ai/api

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Quick Start

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1. Create a Project

Projects are containers for computers. 
curl -X POST https://www.orgo.ai/api/projects \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"name": "manus"}'

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2. Create a Computer

Add a computer to your project: 
curl -X POST https://www.orgo.ai/api/projects/manus/computers \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "agent-1",
    "os": "linux",
    "ram": 2,
    "cpu": 2
  }'

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3. Control the Computer

# Screenshot
curl https://www.orgo.ai/api/projects/manus/computers/agent-1/screenshot \
  -H "Authorization: Bearer your_api_key"

# Click
curl -X POST https://www.orgo.ai/api/projects/manus/computers/agent-1/click \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"x": 100, "y": 200}'

# Type
curl -X POST https://www.orgo.ai/api/projects/manus/computers/agent-1/type \
  -H "Authorization: Bearer your_api_key" \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello world"}'

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Resource Hierarchy

User
└── Projects (e.g., "manus")
    └── Computers (e.g., "agent-1", "agent-2")
Projects organize your computers. Free tier: 2 concurrent computers.

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Computer Specs

  • OS: Linux or Windows
  • RAM: 2GB, 4GB, or 8GB
  • CPU: 2, 4, or 8 cores
  • GPU: None, T4, or A10 (coming soon)

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Control Operations

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Mouse

  • Click (left, right, double)
  • Drag
  • Scroll

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Keyboard

  • Type text
  • Press keys (Enter, Tab, ctrl+c, etc.)

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Execution

  • Bash commands
  • Python code

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Other

  • Screenshots
  • Wait/delays
  • Streaming (RTMP)

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Error Responses

{
  "error": "Error message"
}
Status codes:
  • 200 - Success
  • 400 - Invalid request
  • 401 - Invalid API key
  • 404 - Resource not found
  • 500 - Server error

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Next Steps

API Reference

All endpoints

Python SDK

Get started fast

Claude Integration

AI agent guide

Authentication

Setup
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