What is E2B?
E2B is an AI sandbox that gives AI agents secure, isolated computers to run code in. It spins up cloud-based sandboxes where agents can execute Python, JavaScript, and other languages without touching your actual infrastructure. Each AI sandbox runs on a microVM, so untrusted or AI-generated code stays contained. Developers connect it through an SDK in Node.js or Python, and it plugs into model providers like OpenAI, Anthropic, and Mistral. Teams use it for coding agents, data analysis, reinforcement learning, and computer-use agents that need a real working environment instead of just text output.
Features & Benefits
- Code Execution: Run AI-generated Python, JavaScript, Ruby, or C++ inside an isolated AI sandbox and get results back through the SDK.
- Data Analysis & Visualization: Connect datasets to a sandbox to explore data securely and generate charts from the output.
- Computer Use: Spin up a Desktop Sandbox that gives an LLM a full virtual computer with a screen and inputs.
- Reinforcement Learning Support: Launch tens of thousands of concurrent sandboxes to run and score reward functions at scale.
- Terminal Access: Open a terminal inside the sandbox to run shell commands directly.
- Browser Access: Use a browser inside the sandbox for tasks that need web interaction.
- File Save & Upload: Save files generated during a session and upload files into the sandbox for processing.
- Error Inspection: Read execution errors and logs from inside the sandbox to debug agent output.
- Custom Templates: Build a custom sandbox template and install any package or system library it needs.
- Long-Running Sessions: Keep a single sandbox alive for up to 24 hours for long agent tasks.
- Quick Start Time: Start a new sandbox in under 200 milliseconds in the same region as the client.
- Model Flexibility: Connect any LLM provider since the AI sandbox doesn’t lock you into one model.
- Deployment Flexibility: Run E2B in your own AWS, GCP, or Azure account, or fully self-hosted.
- Security & Isolation: Run each sandbox on Firecracker microVMs to keep workflows fully isolated from your systems.
What can E2B do?
- run AI generated code
- execute Python code in the cloud
- run JavaScript code in the cloud
- analyze uploaded datasets
- generate charts from data
- give an LLM a virtual computer
- run reinforcement learning experiments
- launch concurrent sandboxes for training runs
- use a terminal in the cloud
- browse the web inside a sandbox
- install custom packages in a sandbox
- save and upload files during execution
- inspect code execution errors
- build a custom sandbox template
- run untrusted AI generated code safely
Real-World Applications
A research agent might use the AI sandbox to pull a large dataset and run analysis scripts without anyone watching over it step by step. It can install packages on the fly and return findings once the run finishes.
A team building a coding assistant can let it write and test code in a contained environment. The AI sandbox catches errors before anything reaches a real server, so broken scripts never touch production.
A company training a model with reinforcement learning can spin up thousands of sandboxes at once. Each one runs a task and reports a score back, which speeds up experiments that would otherwise need separate physical machines.
A product team building an AI chat tool that generates working apps can route that generated code into a sandbox to run it live. Users see real output instead of just code blocks, since the AI sandbox executes what the model writes.
