E2B
by FoundryLabs, Inc. (E2B)
The Enterprise AI Agent Cloud
E2B is an open-source platform that runs AI-generated code in secure, isolated cloud sandboxes powered by Firecracker microVMs, giving AI agents a virtual computer to execute code and use real-world tools.
At a Glance
- Category
- AI Agent Infrastructure
- Pricing
- Usage-based, Free tier, Subscription, Enterprise
- Target Market
- Enterprise, Startups, Developers
- Founded
- 2023
- Headquarters
- San Francisco, California, United States
Key Features
- ✓Firecracker microVM sandboxes
Secure, isolated cloud sandboxes powered by Firecracker microVMs, built to run untrusted, LLM-generated code with fast startup and sessions up to 24 hours.
- ✓Code Interpreter SDK
Python and JavaScript/TypeScript SDK for safely executing AI-generated code, running terminal commands, installing packages, and handling files inside a sandbox.
- ✓Desktop Sandbox
A secure virtual desktop (GUI computer) in the cloud for LLMs, enabling computer-use agents to click, type, and browse.
- ✓LLM-agnostic and framework integrations
Works with any model provider and integrates with agent frameworks such as LangChain, LlamaIndex, and AutoGen.
- ✓Custom sandbox templates
Fully customizable environments via custom templates or runtime package installation, so any Linux-runnable workload can run in the sandbox.
- ✓Flexible deployment (cloud, BYOC, self-hosted)
Deploy on E2B's managed cloud, within your own cloud (BYOC), or self-hosted/on-premises, with US and EU regional options for data residency.
Capabilities
Use Cases
- •AI data analysis and code interpreter
Give AI apps a sandbox to run generated Python/JS for data analysis, charting, and computation without exposing host infrastructure.
- •Autonomous coding agents
Provide coding agents an isolated environment to write, execute, and test code, install dependencies, and inspect errors.
- •Computer-use agents
Use the Desktop Sandbox to let agents operate a virtual computer, browse the web, and interact with GUI applications.
- •Reinforcement learning and evaluation
Spin up many concurrent sandboxes to run and evaluate agent trajectories at scale.
Ideal For
Best For
- ✓Developers building AI agents that need to run code
- ✓Running untrusted LLM-generated code securely
- ✓Data analysis and code-interpreter features in AI apps
Not Ideal For
- ✗Non-technical users seeking a no-code AI tool
Integrations
Deployment
Pricing
Hobby
Free + usage costs
- ✓$100 one-time usage credits
- ✓Community support
- ✓Sessions up to 1 hour
- ✓Up to 20 concurrent sandboxes
Pro
$150/month + usage costs
- ✓Everything in Hobby
- ✓Customizable CPU and RAM
- ✓Sessions up to 24 hours
- ✓Up to 100 concurrent sandboxes (expandable to 1,100)
Enterprise
Custom
- ✓Custom rates and SLAs
- ✓BYOC / self-hosted / on-premise deployment
- ✓US and EU regions for data residency
- ✓Dedicated support
On top of plan fees, E2B bills usage-based per second of a running sandbox based on compute resources (roughly $0.000014/s per vCPU and $0.0000045/GiB/s of RAM, per the pricing page), with some free storage (10 GiB Hobby, 20 GiB Pro). Enterprise pricing is custom. Verify current rates on e2b.dev/pricing.
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