Daytona
Secure and elastic infrastructure for running AI-generated code
About Daytona
Daytona is a cloud sandbox platform that lets developers and AI agents execute untrusted code in isolated, secure environments with sub-90ms sandbox creation. It powers AI agents, code interpreters, and automation workflows by providing safe, ephemeral compute that scales on demand.
Pros & Cons
Pros
- Extremely fast sandbox spin-up (under 90ms) ideal for agent latency
- Strong isolation model designed specifically for untrusted AI-generated code
- Generous free trial with $200 in compute credits and no credit card
- Flexible pay-as-you-go pricing scales from prototypes to production
- Solid SDK coverage (Python, TypeScript) with first-class agent framework integrations
Cons
- Usage-based pricing can be hard to forecast for high-volume workloads
- Newer platform compared to established CDE alternatives
- Requires technical setup to integrate with existing agent or app code
- Computer Use and advanced features may carry higher compute costs
Key Features
Sub-90ms Sandbox Creation
Spin up isolated runtime environments in under 90 milliseconds for low-latency agent workflows.
Secure Isolation
Each sandbox runs in a fully isolated environment so untrusted or AI-generated code can execute safely.
Process Execution
Run shell commands and processes with real-time output streaming back to your application.
File System Operations
Read, write, and manage files inside sandboxes with fine-grained permission controls.
Git Integration
Built-in Git support with credential handling for cloning repos and committing changes from inside sandboxes.
LSP Support
Language Server Protocol integration enables intelligent code analysis and editing inside sandboxes.
Environment Snapshots
Persist sandbox state with snapshots so workflows can pause, resume, or fork without losing context.
Multi-Region Deployment
Run sandboxes close to users or data with deployment across multiple geographic regions.
Computer Use
Full desktop sandbox environments on Linux, macOS, and Windows for agents that need GUI access.
SDK and API
Python and TypeScript SDKs plus a REST API make it easy to integrate sandboxes into agent frameworks.
Pricing
- $200 in free compute credits
- No credit card required
- Full platform access
- Sub-90ms sandbox creation
- $0.0504/hour per vCPU
- $0.0162/hour per GiB memory
- $0.000108/hour per GiB storage (first 5 GiB free)
- Volume discounts at scale
- Multi-region deployment
- Up to $50,000 in free credits
- Pay-as-you-go pricing after credits
- Priority support
- Eligibility review required
- On-premise deployment options
- Custom SLAs
- Dedicated support
- Volume pricing
- Security and compliance reviews
Best For
AI Agent Code Execution
Give autonomous agents a safe sandbox to run generated code, install packages, and inspect output without risking the host.
Code Interpreter Backends
Power chatbot or LLM code-interpreter features with isolated, fast-starting compute.
Data Analysis Sandboxes
Run ad hoc data analysis scripts on demand with isolated file systems and snapshots for reproducibility.
Automated Evaluations
Execute model-generated solutions against test suites in isolated environments for benchmarks and CI evals.
Browser and Desktop Automation
Use Computer Use sandboxes to give agents real Linux, macOS, or Windows desktops for GUI automation.
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