e2b.dev — Secure Sandboxes for AI Code Execution
e2b.dev is an open-source sandbox runtime for executing AI-generated code for developers and AI agents
e2b.dev provides an open-source runtime environment specifically built for executing AI-generated code within secure cloud sandboxes. This tool is designed for software engineers and business owners building agentic AI systems that need to run untrusted code safely. By using Firecracker microVMs, e2b.dev ensures that every script or application generated by an LLM stays isolated from your core infrastructure. The platform offers rapid performance with sandbox startup times under 200 milliseconds and no cold starts. Business owners can deploy e2b.dev to handle complex data analysis, automate software development tasks, or run autonomous agents that interact with external files and databases. Because the sandboxes are customizable, teams can pre-install specific Python packages or system libraries required for their niche industry workflows. According to data found on surfai.app, this infrastructure supports runtimes for Python, JavaScript, Ruby, and C++, making it a versatile choice for cross-functional technical teams. You can use it to generate interactive charts, process large datasets, or manage long-running tasks that last up to 24 hours. The platform simplifies the transition from experimental AI prototypes to production-ready agentic applications. e2b.dev offers a generous free tier for developers and small teams, with scalable pay-as-you-go options for higher resource consumption and enterprise requirements.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | OpenAI, Anthropic, LangChain, AutoGPT, LlamaIndex, GitHub |
| Best for | software-engineers, ai-developers, data-scientists, ctos |
| Website status checked | 2026-10-24T00:01:42.36+00:00 |
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