Description

E2B is an open-source runtime designed to safely execute AI-generated code in isolated cloud sandboxes. This makes it ideal for developers building agentic AI applications, autonomous agents, and data analysis tools. It empowers developers to build, test, and deploy AI agents and applications that require dynamic code execution. With E2B, you can run code generated by large language models (LLMs) in a secure, scalable environment, ensuring your main app remains protected from untrusted code. Its seamless integration with popular AI frameworks, rapid sandbox startup times, and support for multiple programming languages set it apart from traditional code execution solutions.

E2B Key Features

• Secure Cloud Sandboxes: Each code execution runs in its isolated environment, protecting your infrastructure from malicious or buggy code.
• Open-Source Runtime: Fully open-source, giving developers transparency and control over their code execution workflows.
• Multi-Language Support: Run code in Python, JavaScript, and other languages, making it versatile for various AI and automation tasks.
• Agentic AI Ready: Built specifically for agentic and autonomous AI use cases, supporting complex, long-running tasks.
• Easy Integration: Simple SDKs for JavaScript and Python let you add secure code execution to your app in just a few lines.
• LLM Compatibility: Works seamlessly with OpenAI, Anthropic, Mistral, Ollama, LangChain, and LlamaIndex for codegen and tool use.
• Scalable Infrastructure: Handles millions of sandboxes monthly, making it suitable for both startups and enterprises.
• Data Analysis & Visualization: Supports running AI-generated scripts for data analysis, charting, and visualization directly in the sandbox.
• Terminal & I/O Access: Sandboxes can execute shell commands, access files, and interact with APIs securely.
• Developer-Focused: 20,000+ developers and 250,000+ monthly downloads show strong community adoption and trust.
• Rapid Startup Times: Sandboxes initiate in approximately 150 milliseconds, enhancing development efficiency.
• Open-Source SDKs: It provides JavaScript and Python SDKs for easy integration into AI applications.

E2B Key Customers

E2B highlights use cases from AI startups, research teams, and companies building autonomous agents and data analysis tools.

• Perplexity: Integrated E2B into its products to provide advanced data analysis.
• BlackBox AI, PGA, LandingAI: These companies trust E2B for the secure execution of AI-generated code in their applications.

More than 20k developers use E2B to start 10 M+ sandboxes. It has 250k+ downloads. Other customers include HuggingFace, Manus, Gumloop, Grok, Lindy, and more. You can check their website to get testimonials from them.

Who is the CEO or Founder of E2B?

FoundryLabs, Inc. is owned by Vasek Mlejnsky (Co-Founder & CEO at E2B) and Tomas Valenta (Co-Founder at E2B).

E2B Funding News

In October 2024, E2B raised $11.5 million in a seed funding round led by Decibel Partners to further develop its platform for AI code execution (source).

Who Should Use E2B?

E2B is ideal for developers and organizations building AI applications that require secure and scalable execution of AI-generated code. It’s particularly beneficial for those developing autonomous AI agents, data analysis tools, and applications integrating with large language models.

E2B Pros

• Highly secure and isolated code execution — Secure sandboxes prevent unauthorized access and security breaches.
• Supports Python and JavaScript, accommodating a wide range of developer requirements.
• Open-source and transparent
• Easy integration with popular AI and LLM frameworks.
• Scalable for both small and large workloads —Designed to handle high-scale operations without compromising service quality.
• Quick sandbox startup times improve development efficiency.
• Strong developer community and adoption — Open-source nature facilitates collaborative enhancements and continuous refinement.

E2B Cons

• Initial configuration and comprehension of SDKs may be challenging for beginners. 
• Limited information on customer support options
• Advanced features may require cloud infrastructure knowledge
• May require additional setup for custom language environments
• Charges are based on sandbox usage, which may add up for extensive workloads.
• Currently supports only Python and JavaScript/TypeScript.
• Customizing sandbox compute resources necessitates using the E2B CLI.

E2B Integrations

E2B integrates with various large language models, including OpenAI’s GPT series and Anthropic’s Claude, and supports multiple programming languages like Python and JavaScript. 

• OpenAI
• Anthropic
• Mistral
• Ollama
• LangChain
• LlamaIndex
• JavaScript and Python SDKs for seamless integration.

E2B Alternatives

• Modal
• Anyscale
• Replicate

E2B stands out by combining secure, production-grade authentication with AI tool-calling, making it the best choice for developers building powerful, action-oriented AI agents.

E2B Free Plan

E2B’s Hobby Plan is free and includes one-time $100 usage credits, community support, up to 1-hour sandbox sessions, and up to 20 concurrently running sandboxes.

E2B Pricing

Usage costs are extra—charged per second of a running sandbox. Their pricing page includes an E2B usage cost calculator.

E2B Plan	Monthly Payment	Offerings
Pro	$150	Offers dedicated Slack support, prioritized features, customizable sandbox compute, up to 24-hour sandbox sessions, and up to 100 concurrently running sandboxes.
Ultimate	Contact Sales	Tailored solutions with special pricing for organizations with specific needs.

 

E2B Discount

E2B provides dedicated programs for startups and research — these include credits, customization options, 24-hour sandbox sessions, and much more.