Daytona — Secure Sandboxes for AI Code Execution

Daytona Sandbox Architecture

Core Concepts

AI Agent Integration

from daytona_sdk import Daytona

def ai_coding_agent(task: str) -> str:
    daytona = Daytona()
    sandbox = daytona.create(language="python")

    # Let the LLM generate code
    code = llm.generate(f"Write Python code to: {task}")

    # Execute safely in sandbox
    result = sandbox.process.code_run(code)

    if result.exit_code == 0:
        return result.result
    else:
        # Let LLM fix the error
        fixed = llm.generate(f"Fix this error: {result.result}")
        return sandbox.process.code_run(fixed).result

Security Features

• Process isolation — Each sandbox runs in its own container
• Network isolation — Configurable network access per sandbox
• Resource limits — CPU, memory, and disk quotas
• Ephemeral by default — Sandboxes are destroyed after use
• No host access — Sandboxed code cannot reach your host system

Multi-Language Support

# Python execution
sandbox.process.code_run('import pandas as pd; print(pd.__version__)')

# Node.js execution
sandbox.process.code_run('console.log(process.version)', language='javascript')

# Shell commands
sandbox.process.exec('ls -la /app')
sandbox.process.exec('pip install requests')

FAQ

Q: What is Daytona? A: Daytona is an open-source platform with 71,000+ GitHub stars for creating secure sandboxed environments to run AI-generated code safely, with SDKs for Python, TypeScript, Go, and Ruby.

Q: How is Daytona different from E2B? A: Both provide code execution sandboxes. Daytona is fully open-source (AGPL-3.0) and self-hostable. E2B is primarily a cloud service. Daytona also offers Git integration and LSP support for IDE-like features.

Q: Is Daytona free? A: Yes, open-source under AGPL-3.0. Self-host for free. Daytona also offers a managed cloud service.