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CreateOS Integration Is Now Live on Swytchcode

CreateOS is now live on Swytchcode. Build production-ready AI agents with CreateOS Sandbox APIs for isolated execution and Swytchcode for reliable, secure access to real-world APIs.

createos integration is now live on swytchcode
Chaitrali Kakde

DevRel Engineer

IntegrationsOct 5, 2026

Key takeaways

  • -CreateOS is now available on Swytchcode for building production-ready AI agents.
  • -CreateOS + Swytchcode combine sandboxed agent execution with reliable production API access.
  • -Use Swytchcode with popular frameworks including OpenAI Agents SDK, Anthropic, Vercel AI SDK, LangGraph, CrewAI, Hermes, and OpenClaw.
  • -Use CreateOS Sandbox APIs to run code, process files, and execute agent tasks in isolated environments.
  • -Use Swytchcode for authentication, policies, retries, validation, idempotency, and auditability when agents interact with production APIs.

We’re excited to announce that CreateOS is now live on Swytchcode.

With this integration, you can give AI agents access to CreateOS Sandbox APIs to execute tasks in isolated environments, while using Swytchcode as the production runtime for interacting with real APIs.

This makes it easier to build agents that can execute, interact with external systems, and reliably complete real-world workflows.

Github template to get started - https://github.com/swytchcodehq/swytchcode-examples/tree/main/swytchcode-createos-starter-template

Why use Swytchcode with CreateOS?

AI agents need two things to work reliably in production: a safe environment to execute tasks and a reliable way to interact with external APIs.

CreateOS Sandbox APIs let your agent create and manage isolated sandboxes, run code and commands, work with files, and perform tasks in a controlled environment. Swytchcode handles the API side, giving those agents controlled access to the services they need with authentication, policies, retries, validation, idempotency, and audit logs.

This means you can build an agent that can:

  • Create and manage sandboxes through the CreateOS Sandbox API
  • Run generated code or scripts inside a sandbox
  • Process and analyze data
  • Access files and perform multi-step tasks
  • Call production APIs through Swytchcode
  • Control which APIs and actions the agent is allowed to use
  • Handle API failures and retries
  • Require human approval for sensitive actions
  • Keep an audit trail of API calls and decisions

For example, a developer agent could create a sandbox, clone a repository, and run tests using CreateOS Sandbox APIs, then use Swytchcode to create a pull request, update a GitHub issue, or send a notification to Slack.

A data agent could fetch data through Swytchcode, process it inside a CreateOS sandbox, generate a report, and push the results back to a CRM or other business system.

The agent gets the environment it needs to do the work, while Swytchcode gives it a controlled and reliable way to act on production systems.

CreateOS + Swytchcode = sandbox execution + reliable API access for production AI agents.

What can you build?

  • Developer agents

Build agents that can work directly with a codebase. They can create a sandbox, execute code, run tests, inspect files, and then use Swytchcode to interact with GitHub, Linear, Slack, or other developer tools.

  • Data analysis agents

Let an agent fetch data from production APIs, process it inside a CreateOS sandbox, run analysis, generate reports, and send the results to the tools your team already uses.

  • Customer support agents

An agent can retrieve customer information, process relevant data, update CRM records, create support tickets, and trigger approved actions across your support stack.

  • Finance agents

Build agents that can reconcile data, generate reports, and interact with financial systems while using Swytchcode policies and human approvals for sensitive operations.

  • Research agents

Give agents a sandbox to download and process files, run scripts, analyze information, and use production APIs to store results or trigger follow-up actions.

How to use Swytchcode with CreateOS

Getting started with Swytchcode is as simple as running:

npx swytchcode

For the complete CLI setup, follow the Swytchcode CLI getting started guide.

Once you have Swytchcode set up, get the CreateOS integration with:

swy get createos

You can then use the CreateOS Sandbox APIs alongside your other Swytchcode integrations and expose the tools your agent needs.

Supported Platforms

Swytchcode works with the frameworks and AI coding tools you already use.

Agent Frameworks & SDKs

AI Coding Agents

  • Cursor
  • Claude Code
  • Codex
  • Gemini CLI
  • Windsurf
  • Microsoft copilot

MCP

Swytchcode also includes a native MCP server that lets compatible AI agents discover and execute APIs through Swytchcode.

Explore the Swytchcode documentation →

Build reliable AI agents

CreateOS Sandbox APIs give your agents a controlled environment to execute.

Swytchcode gives them a reliable runtime to interact with production APIs.

Together, they give developers the building blocks to move from agents that simply generate responses to agents that can safely execute tasks, work with real data, and take actions across production systems.

CreateOS gives your agent a place to work. Swytchcode gives it a reliable way to act.

Start building with the CreateOS integration on Swytchcode.

Next Steps

Ready to start building with CreateOS and Swytchcode?

Use any AI coding agent

Give this prompt to your agent and get started.

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