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E2B is an enterprise-grade AI agent cloud that provides secure, isolated sandboxes for running AI-generated code, data analysis, and agent workflows. Built by the E2B team, it solves the problem of safely executing untrusted code from large language models in production environments. Core capabilities include cloud sandboxes with pre-installed runtimes for Python, JavaScript, and other languages, internet access, file I/O, and terminal commands. It supports deep research agents, computer use agents, reinforcement learning, and vibe coding. The platform is trusted by companies like Perplexity, Manus, Hugging Face, Groq, and Lindy. E2B fits workflows for AI engineers, data scientists, and product teams building autonomous agents that need a secure execution environment. It integrates with popular AI frameworks like LangChain, LlamaIndex, and OpenAI, and offers SDKs for Node.js and Python.
4.5/5
High, consistent, and reliable
Clean and developer-friendly
To provide secure, scalable cloud sandboxes for AI agents to execute code and perform complex tasks.
Integrates with Node.js, Python, Vercel, OpenAI, Anthropic, Mistral, Llama, LangChain, LlamaIndex, and more.
Freemium with paid tiers for higher usage and enterprise features
Features with the highest value for users are highlighted here.
Secure cloud sandboxes
Code execution in any language
Internet access for agents
Data analysis and visualization
Reinforcement learning support
Computer use via Desktop Sandbox
Integration with OpenAI, Anthropic, LangChain
Scalable concurrent sandboxes
AI Engineers
Data Scientists
Product Teams
Research Labs
Enterprise Developers
Startups
MCP Developers
Open Source Contributors
AI Safety Teams
Freelance Developers
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Stigg provides a flexible, developer-first infrastructure layer to power your entire go-to-market strategy. With Stigg, you can build, manage, and scale any monetization approach without the constraints of legacy code or vendor lock-in. ([stigg.io](https://www.stigg.io/features?utm_source=openai))
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