Open Source Together Sandbox Alternatives

Daytona provides isolated sandbox infrastructure specifically built for AI agents and coding tools that need to execute untrusted, AI-generated code. Each sandbox spins up in under 90ms and runs in a fully isolated environment, so code execution never touches your host infrastructure. It's built for teams running AI agents at scale, where thousands of sandboxes may be created and torn down in parallel.

Compared to tools like E2B or Together Sandbox, Daytona's key differentiator is its stateful design. Sandboxes run indefinitely and support environment snapshots, so long-running agent workflows can be paused, saved, and resumed without losing state. Shared volumes let multiple sandboxes access the same data without breaking isolation.

The programmatic API covers everything an agent needs at runtime:

• Process execution with real-time output streaming and configurable timeouts
• File system operations with full CRUD and granular permission controls
• Git integration with native operations and secure credential handling
• Built-in LSP support for multi-language code completion and real-time analysis
• Computer use sandboxes providing isolated Linux, macOS, and Windows desktops with full programmatic control
• Docker support including Docker-in-Docker, Dockerfile, and Docker Compose, so existing images work without modification

Sandboxes can be deployed in multiple regions (US, EU, Asia) to keep latency low relative to where your agents run. For debugging or oversight, SSH access, a browser-based VS Code instance, and a web terminal are available without additional setup.

Security is handled through customer-managed compute. Sandboxes run on isolated, customer-controlled infrastructure in your cloud or on-premises. Daytona operates the control plane only, with no shared compute across tenants. The platform meets HIPAA, SOC 2, and GDPR standards, and the codebase is open source for full auditability.

Pricing is pay-as-you-go, billed per second for compute, memory, and storage, with GPU options including Nvidia H100 for workloads like reinforcement learning or data analysis.

E2B delivers secure cloud environments specifically designed for enterprise AI agents, providing isolated sandboxes where agents can safely execute code, access real-world tools, and perform complex tasks without compromising security.

Key capabilities include:

• Secure code execution in isolated Firecracker-powered microVMs with full system access
• Multi-language support for Python, JavaScript, Ruby, C++, and any Linux-compatible framework
• Ultra-fast startup with sub-200ms initialization times and no cold starts
• Extended sessions up to 24 hours for long-running agent workflows
• Enterprise security with complete isolation and secure file handling

Perfect for advanced AI use cases:

• Deep research agents conducting analysis on large datasets
• Data visualization with secure chart generation and analysis
• Computer use agents with virtual desktop environments
• Reinforcement learning with thousands of concurrent sandbox instances
• Code generation and testing with real-time error inspection

Trusted by leading organizations including 88% of Fortune 100 companies, E2B integrates seamlessly with OpenAI, Anthropic, Mistral, LangChain, and custom models. The platform offers flexible deployment options including BYOC, on-premises, and self-hosted solutions to meet enterprise compliance requirements.

Revolutionary AI infrastructure designed specifically for developers who need speed, reliability, and seamless scaling. Run sandboxes, inference, and training workloads with ultrafast boot times and instant autoscaling that adapts to your traffic patterns.

Key capabilities include:

• Secure runtime environments for AI agents and code interpreters
• Sub-second cold starts with elastic GPU scaling
• Stateful, persistent runtimes with pause/resume functionality
• Scale to zero when idle, burst to thousands in seconds
• Pay only for actual compute time down to the CPU cycle

The platform supports multiple use cases from custom model inference and LLM training to web scraping and Streamlit apps. 100% open source with the flexibility to run on their cloud or yours.

Developer-first experience features easy local debugging, one-line hardware switching, and seamless CI/CD integration. Trusted by leading AI companies for its exceptional developer experience and reliability, helping teams ship faster without the complexity of managing GPU infrastructure.