E2B

E2B provides open-source, secure cloud sandboxes designed for AI agents, LLM training, and Model Context Protocol (MCP) integrations. The platform enables developers to execute AI-generated code in isolated environments powered by Firecracker microVMs, ensuring enterprise-grade security for untrusted workflows. E2B sandboxes support deep research agents, coding agents, data analysis, reinforcement learning, and computer use scenarios, with sessions lasting up to 24 hours.

• Secure Isolated Execution - Each sandbox runs in a Firecracker microVM, providing full isolation for safely executing untrusted AI-generated code without risking your infrastructure.
• LLM-Agnostic Compatibility - Works seamlessly with OpenAI, Anthropic Claude, Mistral, Llama, and custom models, allowing integration with any AI provider or framework.
• Sub-200ms Cold Starts - Sandboxes in the same region as the client start in less than 200 milliseconds, eliminating cold start delays for responsive agent workflows.
• Multi-Language Support - Execute Python, JavaScript, Ruby, C++, and any code that runs on Linux, with support for popular frameworks and custom libraries.
• Custom Sandbox Templates - Create customized environments by installing packages, system libraries, or building templates tailored to specific use cases.
• Extended Session Duration - Run sandboxes for seconds or up to 24 hours on Pro plans, supporting long-running research and automation tasks.
• Real-World Tool Access - Agents can use terminals, browsers, file systems, and internet access within sandboxes to complete complex tasks.
• Flexible Deployment Options - Deploy on E2B cloud, bring your own cloud (AWS, GCP, Azure), on-premises, or self-hosted configurations.

To get started, install the SDK via npm (@e2b/code-interpreter) or pip (e2b-code-interpreter), create a sandbox instance, and execute code with just a few lines. The platform integrates with LangChain, LlamaIndex, Vercel AI SDK, and other popular AI frameworks. E2B is trusted by Fortune 100 companies including Perplexity, Hugging Face, Groq, and Manus for production AI workloads.