Daytona: Secure Elastic Infrastructure for AI Code
Run AI-generated code in secure, isolated sandboxes with sub-100ms startup and multi-language SDKs.
Evidence shows: README describes sandbox isolation, API keys, audit logs, network limits, but lacks implementation details or least-privilege evidence. Deductions: no code-level evidence to confirm actual permission controls.
Evidence shows: README describes architecture and features, but lacks error handling or failure message details. Deductions: no error handling documentation or test evidence.
Evidence shows: README describes multiple use cases (AI agents, developers) and multiple SDK languages, but lacks clear capability boundaries or trigger conditions. Deductions: capability boundaries and trigger precision are insufficiently described.
Evidence shows: README provides installation instructions, examples, and documentation links, but lacks version changelog and known limitations. Deductions: version changelog and known limitations are missing.
Evidence shows: README provides quick start examples and multiple SDKs, but lacks performance or cost data. Deductions: no cost-benefit analysis.
Evidence shows: claims in README lack verifiable tests or independent sources. Deductions: no traceable verification evidence.
- Repository is marked as no longer maintained; assess risks before use.
- No AGENTS.md manifest provided, may not meet some agent framework requirements.
- Security feature descriptions lack code-level verification; rely with caution.
What does this agent do, and when should you use it?
Daytona is an open-source platform providing secure and elastic infrastructure for executing AI-generated code and agent workflows. At its core are sandboxes—fully isolated computers with dedicated kernels, filesystems, network stacks, and allocated vCPU, RAM, and disk. Sandboxes spin up in under 90ms and support Python, TypeScript, and JavaScript, built on OCI/Docker compatibility with massive parallelization and unlimited persistence. Developers and agents interact with sandboxes programmatically via SDKs in Python, TypeScript, Ruby, Go, and Java, a REST API, and a CLI. Features include snapshots for persistent state across sessions, file system operations, process execution, MCP server support, SSH, VNC, and web terminal access. The platform also offers organizational controls, audit logs, webhooks, and network limits. Note: As of June 2026, this repository is no longer maintained, but it remains public and free to use under the license.
Daytona enables users to create and manage sandboxes via API, CLI, or SDKs. Sandboxes provide isolated environments where users can run arbitrary code, execute commands, and manage files. The workflow involves: creating an account on app.daytona.io, generating an API key, and then using SDKs (e.g., Python's process.code_run) or curl to create a sandbox and execute code. The platform includes agent tools like process execution, file system operations, LSP, and computer use; human tools like dashboard, web terminal, SSH, VNC, and VPN; and system tools like webhooks and network limits. Client libraries are located in the libs directory, with packages like sdk-python, @daytona/sdk, and sdk-go.
- AI developer building autonomous agents that need a secure, isolated environment to run AI-generated code.
- Platform team standardizing on a cloud-based code execution infrastructure with elastic scaling.
- Educational platform providing consistent programming environments to students without setup overhead.
- CI/CD pipeline that requires reproducible build and test environments with quick provisioning.
- Security-conscious team executing untrusted code in isolation to prevent host compromise.
What are this agent's strengths and limitations?
- Ultra-fast sandbox startup (under 90ms) enabling low-latency agent workflows.
- Multi-language SDKs (Python, TypeScript, Ruby, Go, Java) with OpenAPI-generated REST clients.
- Full isolation with dedicated kernel, filesystem, and network stack, enhancing security.
- Snapshots enable persistent state across sessions, ideal for long-running agents.
- Repository is no longer maintained (as of June 2026), so no future updates or support.
- Dependence on Daytona's cloud for managed service; self-hosting requires additional setup.
- Learning curve for new users due to sandbox concepts, API, and SDK integration.
- Limited language support for code execution (only Python, TypeScript, JavaScript).
How do you install or deploy this agent?
- Create an account at app.daytona.io and generate an API key.
- Install the SDK for your language: Python via
pip install daytona; TypeScript vianpm install @daytona/sdk; Ruby viagem install daytona; Go viago get github.com/daytonaio/daytona/libs/sdk-go; Java via Gradle or Maven dependency (io.daytona:sdk:x.y.z).
How do you use this agent?
Example in Python:
from daytona import Daytona, DaytonaConfig
config = DaytonaConfig(api_key="YOUR_API_KEY")
daytona = Daytona(config)
sandbox = daytona.create()
response = sandbox.process.code_run('print("Hello World!")')
print(response.result)Alternatively, call the API:
curl 'https://app.daytona.io/api/sandbox' --request POST --header 'Authorization: Bearer <YOUR_API_KEY>' --header 'Content-Type: application/json' --data '{}'Or use the CLI: daytona create.