Daytona
Daytona provides a secure, lightning-fast runtime environment specifically designed for executing AI-generated code and managing AI agent workflows.
Our verdict
Who it's for
Secure and elastic infrastructure for running AI-generated code and agent workflows.
Who should look elsewhere
Pricing model is usage-based, which can be complex to estimate for large-scale projects.
Pros
- +Enhanced security through isolated runtime environments.
- +High performance with rapid sandbox creation and parallel execution.
- +Comprehensive programmatic control for flexible integration.
- +Supports startups with significant free credits.
Cons
- −Pricing model is usage-based, which can be complex to estimate for large-scale projects.
- −Enterprise features like on-premise setup require contacting sales, indicating potential higher cost or complexity.
Key features
- ✓Secure and Elastic Infrastructure
- ✓Sub 90ms sandbox creation
- ✓Separated & Isolated Runtime Protection
- ✓Massive Parallelization for Concurrent AI Workflows
- ✓Programmatic Control (File, Git, LSP, Execute API)
- ✓Process Execution in isolated environments with real-time output streaming
- ✓File System Operations (CRUD, granular permissions)
- ✓Native Git Integration with secure credential handling
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Pay-as-You-Go (Per Hour) | — | month | vCPU: $0.0504/h; Memory GiB: $0.0162/h; Storage GiB: $0.000108/h (after first 5 free) |
| Pay-as-You-Go (Per Second) | — | month | vCPU: $0.00001400/s; Memory GiB: $0.00000450/s; Storage GiB: $0.00000003/s (after first 5 GB free) |
| Start-ups | — | month | Up to $50k in credits for free |
| Enterprise | — | month | Designed for businesses of all sizes; Requiring on-premise setup |