Daytona
Secure Elastic Infrastructure for Running AI-Generated Code Instantly
by Daytona Platforms, Inc. · New York, NY, USA · Founded 2023
What is Daytona?
Daytona is an open-source infrastructure platform that provides secure, isolated sandboxes for executing AI-generated code and powering agent workflows.
It enables sub-90ms sandbox creation with full programmatic control through Python and TypeScript SDKs. The platform supports stateful environments, environment snapshots, GPU compute, and multi-region deployment across five global regions.
Daytona offers native Git integration, built-in LSP support, Docker-in-Docker capabilities, and file system operations. Used by companies like SambaNova, LangChain, and Prosus, it serves as the runtime layer for AI agents needing isolated code execution at scale.
Daytona — Secure Elastic Infrastructure for Running AI-Generated Code Instantly Whether you're evaluating Daytona for your team or comparing it to alternatives in the AI Code Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Key Features 8
Who Is Daytona For
Pros & Cons
- Sub-90ms Sandbox Provisioning Speed
- Open-Source Transparent Codebase
- Stateful Long-Running Environments
- Per-Second Granular Billing
- No Fixed Monthly Plans
- GPU Pricing Not Transparent
- Limited Non-AI Use Cases
Frequently Asked Questions
5 questionsDaytona provisions sandbox environments in under 90 milliseconds, enabling near-instant code execution. This speed applies to both CPU and GPU-backed sandboxes across all supported regions.
Daytona offers official SDKs for Python and TypeScript. The platform itself supports any language that runs in a Linux, Windows, or macOS environment through its Docker-based sandbox architecture.
Yes. Daytona sandboxes are stateful by design and can run indefinitely. They support environment snapshots, allowing you to save, restore, and resume agent workflows at any point.
Daytona supports Docker-in-Docker, Docker Compose, and custom Dockerfile builds natively. Agents can spin up containers inside sandboxes without additional configuration or wrappers.
Daytona offers five deployment regions: India Asia-South, EU Central (Frankfurt), EU West (London), US East (Washington DC), and US West (Oregon) for low-latency execution.
Who is Daytona for?
Daytona is most useful for AI Agent Developers Building Autonomous Coding Systems, Machine Learning Engineers Running Reinforcement Learning Workflows, Platform Teams Needing Isolated Code Execution Environments and SaaS Companies Embedding Sandbox Execution in Products.
Daytona pricing
Daytona uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: From $0.0504/h . For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
What's New
Raised $24M Series A led by FirstMark Capital to scale infrastructure for AI agents, bringing total funding to $31M.
Relaunched as AI-native sandbox infrastructure with SDKs, cloud offering, and earned #1 Product of the Day and #1 SaaS Product of the Month on Product Hunt.
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Daytona Pricing
From $0.0504/h
- $200 in free compute credits
- 5 GB free storage included
- No credit card required
- Full SDK and API access
- vCPU at $0.0504/h, Memory at $0.0162/h per GiB
- Storage at $0.000108/h per GiB after 5 GB free
- GPU compute available
- Per-second billing option available
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