E2B

E2B is the enterprise AI agent cloud — an open-source platform for running AI agents in secure, isolated environments. Each sandbox is powered by a Firecracker microVM (the same technology behind AWS Lambda), giving hardware-enforced isolation with sub-200ms cold starts. E2B supports code execution, computer use via Desktop Sandbox, and Jupyter-style code interpreters, making it the default choice for coding agents and agent products.

Key Features

• Firecracker MicroVM Isolation: Each sandbox runs its own dedicated guest kernel — the strongest isolation tier for running untrusted AI-generated code.
• Sub-200ms Cold Starts: Sandboxes in the same region as the client start in under 200ms, so agent loops feel synchronous.
• Code Execution: Run Python, JavaScript, Ruby, C++, or any language; install packages and system libraries on the fly.
• Computer Use: Desktop Sandbox provides secure virtual computers in the cloud for LLMs — desktop environments for browser- and OS-driving agents.
• Pause/Resume & Snapshots: Full memory state preserved; resume in ~1 second; snapshots fork new sandboxes from a running state.
• Long Sessions: Up to 24-hour sessions; up to 100 concurrent sandboxes on Pro.
• Works with Any LLM: LLM-agnostic — OpenAI, Anthropic, Mistral, or your own models; integrates with LangChain, AutoGen, Together AI, IBM WatsonX.
• Deployment Flexibility: Managed SaaS, BYOC on AWS, on-prem, or self-hosted.

Use Cases

Who Should Use This Tool?

• Agent Platform Builders: Teams shipping coding agents, code interpreters, or data-analysis agents that must execute LLM-generated code safely.
• Deep Research Agents: Agents that need to run code, access the internet, and use I/O in isolated environments.
• Vibe Coding Products: AI-generated app runtimes where sandbox security is non-negotiable.

Problems It Solves

1. Untrusted code execution: MicroVM isolation contains exploits inside the sandbox's own kernel.
2. Cold start latency: 80-200ms starts keep interactive agent loops responsive.
3. Stateful agent work: Pause/resume and snapshots let long-running agents persist across sessions.

Pricing

Per-second usage billing on top of the base fee (~$0.0504/vCPU-hr, $0.0162/GiB-hr).

Advantages & Unique Selling Points

Compared to Competitors:

1. Hardware-enforced isolation: Firecracker microVMs give each sandbox its own kernel — stronger than gVisor or containers.
2. Purpose-built for agents: Not general serverless; the sandbox IS the product.
3. Proven at scale: 1B+ sandboxes started, 94% of the Fortune 100, 3.5M+ monthly SDK downloads.

What Makes It Stand Out:

• Pause/resume that preserves full memory state.
• Jupyter-style code interpreter out of the box.
• Open-source core (Apache-2.0) with $21M Series A funding.

Getting Started

Quick Start Guide

1. Install: pip install e2b-code-interpreter (Python) or npm i @e2b/code-interpreter (TS).
2. Get an API key: Create a free account at e2b.dev.
3. Run code: with Sandbox() as sandbox: execution = sandbox.run_code(code).
4. Integrate with your agent: Connect any LLM's tool-calling loop.

Integration

Integrates seamlessly with:

• LangChain, AutoGen, CrewAI, Together AI, IBM WatsonX
• Any LLM via its tool-calling API
• Jupyter-based workflows

Frequently Asked Questions

Is it really isolated at the hardware level?

Yes — each sandbox runs in its own Firecracker microVM with a dedicated guest kernel, the same isolation model as AWS Lambda.

How fast are sandbox starts?

80-200ms for sandboxes in the same region as the client.

Can I run my agent's code for hours?

Yes — sessions run up to 24 hours, with pause/resume and snapshot support for even longer workflows.

Alternatives

If E2B isn't the right fit, consider these alternatives:

• Modal: GPU-backed sandboxes inside a broader serverless platform (gVisor isolation).
• Daytona: Persistent full dev environments with computer use and GPU options.
• Cloudflare Computer: Edge-native isolates with Durable Object persistence.

Tips & Best Practices

1. Match region to client: Same-region sandboxes start fastest (80-200ms).
2. Use templates: Pre-warm processes during build for instant readiness.
3. Pause, don't terminate: For stateful agents, configure auto-pause to keep memory state instead of tearing down.

Conclusion

E2B is the purpose-built cloud for running AI agents — Firecracker-microVM isolation, sub-200ms starts, code execution and computer use, all proven at 1B+ sandboxes. If your agents execute untrusted LLM-generated code, E2B is the strongest default choice in the category.