What is CodecFlow?

CodecFlow is a platform providing on-demand cloud desktops for AI agents. With CodecFlow, your AI agents can control Windows, macOS, and Linux environments to automate complex tasks across operating systems.

Our platform empowers AI agents to execute complex activities—like automating legacy systems, executing trading strategies, or managing e-commerce storefronts—with full OS-level access. It’s AI in action!

Why CodecFlow Exists

AI agents and automation tools are evolving rapidly, but they face significant limitations in accessing full operating system capabilities. Creating effective automation comes with significant challenges:

Current AI Automation Challenges

• Limited OS Access: Most AI agents lack full access to Windows, macOS, or Linux environments
• Complex Setup: Traditional automation requires complex configuration across different operating systems
• Security Concerns: Running AI agents with full system access raises significant security challenges
• Resource Intensive: Running multiple OS environments demands significant computational resources
• Cross-Platform Limitations: Different platforms require different automation approaches

Enter CodecFlow

CodecFlow provides a complete infrastructure for AI-powered cloud desktops:

🎯 On-Demand Cloud Desktops

• Spin up Windows, macOS, or Linux machines instantly via API
• Fully programmable environments for AI agents
• Managed cloud infrastructure that scales with your needs

🤖 AI Agent Integration with MCP

• Connect your AI agents using Model Context Protocol (MCP)
• Secure cross-machine data sharing (files, browser sessions, content)
• Bring your own AI models and logic

🔒 Secure Execution with TEE

• Trusted Execution Environment (TEE) for secure operations
• Scalable and ephemeral machines that launch and shut down dynamically
• Secure isolation between environments

🔧 Developer-First Approach

• Clean, intuitive SDKs for TypeScript and Python
• Integration with popular automation tools
• Robust API for complete control

Who can use CodecFlow?

• AI developers creating automation across operating systems
• Companies automating legacy systems and GUI applications
• Developers building AI-powered financial trading platforms
• Teams needing secure, scalable multi-OS environments

Quick Example

TypeScript

import { CodecFlow } from '@codecflow/sdk';

// Initialize a cloud desktop
const desktop = await CodecFlow.createDesktop({
  os: 'windows',
  version: '11'
});

// Connect your AI agent using MCP
const agent = await desktop.connectAgent({
  model: 'your-ai-model',
  protocol: 'mcp'
});

// Control the desktop
await agent.executeTask({
  type: 'browser',
  action: 'navigate',
  url: 'https://example.com'
});

Python

from codecflow import CodecFlow

# Initialize a cloud desktop
desktop = CodecFlow.create_desktop(
  os='windows',
  version='11'
)

# Connect your AI agent using MCP
agent = desktop.connect_agent(
  model='your-ai-model',
  protocol='mcp'
)

# Control the desktop
agent.execute_task(
  type='browser',
  action='navigate',
  url='https://example.com'
)