PDFAITools
E2B
Secure sandboxed code execution environment for AI agents and apps. Run untrusted AI-generated code safely in the cloud.
What is E2B?
Secure Sandboxed Code Execution for AI
E2B provides secure, sandboxed cloud environments for executing AI-generated code safely. As AI systems increasingly generate and execute code autonomously, running that code directly on production servers creates serious security risks. E2B's isolated sandbox environments execute untrusted AI-generated code in ephemeral containers that are completely isolated from the host infrastructure, enabling safe code execution at scale.
AI-Native Code Execution Infrastructure
E2B is designed specifically for the AI agent use case, not general-purpose container infrastructure. Sandboxes spin up in milliseconds, support file system operations and process execution, and can be pre-loaded with development environments. AI agents can install packages, run scripts, execute notebooks, and interact with the file system within the sandbox without any risk to the production environment.
- Millisecond sandbox startup for responsive AI agents
- Pre-built environments for Python, JavaScript, and other runtimes
- File system operations and process execution support
- Isolated networking to prevent sandbox escape
- SDK integrations with LangChain, AutoGen, and other agent frameworks
Enabling Autonomous Code Agents
Developers building code-executing AI agents — AI software engineers, data analysis agents, automated testing tools — use E2B as the secure execution layer. It enables ambitious agentic AI applications that involve code generation and execution without the security risks that would otherwise make such applications unsuitable for production deployment.
Key Features
Sandbox environments start in milliseconds for responsive agent interactions.
Ephemeral containers with isolated networking prevent any sandbox escape.
Ready-to-use Python, JavaScript, and other development environments.
AI agents can read, write, and manage files within sandbox environments.
Native integrations with LangChain, AutoGen, CrewAI, and other frameworks.
Who Uses E2B?
Code-generating agents safely execute and test their own code autonomously.
AI agents run data analysis scripts on user-provided datasets safely.
AI agents generate and run test suites against codebases in isolation.
Execute Jupyter notebooks generated by AI in secure, isolated environments.
Pros & Cons
✅ Pros
- Solves a critical security problem that makes AI code execution viable in production
- Millisecond startup times maintain responsive agent interactions
- Complete isolation provides strong security guarantees for untrusted code
- Pre-built runtimes reduce setup time for common development environments
- Growing framework integrations make adoption straightforward
❌ Cons
- Adds latency and cost overhead compared to direct local execution
- Network isolation can limit agent capabilities that require external API access
- Usage costs scale with the volume of code execution in AI workflows
E2B Pricing
Free
- 100 sandbox hours/month
- Core features
- Community support
Pro
- 1,000 sandbox hours/month
- Priority support
- Higher resource limits
Enterprise
- Unlimited hours
- Custom environments
- SLA
- Dedicated support
E2B earns a 3.7/5 rating from our editorial team. Its generous free tier lets you explore core features before upgrading, making it a low-risk choice for individuals and teams. Standout strengths include solves a critical security problem that makes ai code execution viable in production and millisecond startup times maintain responsive agent interactions.
Get Started with E2B →