E2B.

Code interpreter sandbox API for agents that need to execute code safely.

What it is.

E2B runs LLM-generated code inside Firecracker microVMs and exposes a developer-facing API. The sandbox starts in under 200 milliseconds and gives the agent a real Linux environment with internet access, file I/O, and persistent state. the founders founded the company in 2023, open-sourced the runtime, and raised from Lightspeed and SV Angel.

Where it fits.

Agent platforms that need a code interpreter equivalent to the one inside ChatGPT but on their own infrastructure. Used by Perplexity, Hugging Face, and Mistral as the execution backend behind agent products. Self-hosted option matters in regulated buyers where data cannot leave the network.

Use cases

Code execution for AI agents and copilots
Sandboxed data analysis with LLM-generated Python
Secure tool use for autonomous agent loops
Long-running computational tasks isolated from the host

Strengths

Firecracker isolation comparable to AWS Lambda security model
Open source — self-hostable on Kubernetes
Sub-200ms cold start for new sandboxes

Considerations

Narrower scope than full PaaS — execution only, no scheduling
Self-hosted setup requires Firecracker expertise

Frequently asked.

E2B or running Docker myself?

E2B handles the sandbox lifecycle, network isolation, and concurrency that Docker leaves to you. The managed API removes a quarter of agent infrastructure work.

Is E2B safe for untrusted code?

Yes. Firecracker microVMs isolate each sandbox at the kernel level — the same primitive AWS uses for Lambda and Fargate.

Which agent frameworks integrate E2B?

LangChain, LlamaIndex, AutoGen, and the OpenAI Assistants API ship E2B integrations out of the box.

Alternatives

Modal Labs

Modal

Serverless GPU runtime for AI workloads, defined in Python.

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Replit

Replit Agent

Browser IDE plus deploy — the prosumer-to-team agent ramp.

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