E2B
Secure cloud sandboxes for running AI-generated and agent code
Last reviewed 2026-06-19
E2B (Environments to Build) provides secure, isolated cloud sandboxes for running AI-generated and agent-written code. Sandboxes boot in roughly 200 milliseconds, support arbitrary languages and long-running sessions, and give an agent a controllable filesystem, processes, and network so it can execute code, run data analysis, and do extended autonomous work safely. E2B is infrastructure, not an agent framework: it supplies the runtime that an agent executes inside, and the autonomy belongs to the calling application. Its SDK is open-source and self-hostable, with a managed cloud offering. The company closed a Series A in 2025.
What it can do
Spin up secure code sandboxes on demand
SupervisedBoots isolated cloud sandboxes in around 200ms so agents can run untrusted, model-generated code without touching the host environment.
sourceExecute AI-generated code (Code Interpreter)
SupervisedRuns arbitrary model output in stateful sessions, returning results, errors, charts, and files for the agent to act on.
sourceHost long-lived autonomous agent environments
AutonomousPersistent sandboxes let agents do extended research, data analysis, or reinforcement-learning work over time.
sourceControl filesystem, processes, and network in-sandbox
SupervisedThe SDK exposes file IO, process control, and networking inside the sandbox for the agent to manage.
source
Strengths
- +Fast, secure isolated execution purpose-built for AI agents
- +Open-source SDK and self-hostable runtime, with a managed cloud option
- +Model-agnostic: runs whatever code any model produces
Limitations
- −Infrastructure only; you bring the agent logic and orchestration
- −Hosted usage costs scale with sandbox runtime
- −Self-hosting the full stack adds operational overhead
Overview
E2B gives AI agents a safe place to run code. It provisions isolated cloud sandboxes that start in roughly 200ms, run arbitrary languages, and persist state, so an agent can execute model-generated code, analyze data, and do long-running work without risk to the host.
What it does
The SDK lets an application start a sandbox, run code in stateful sessions (the Code Interpreter pattern), capture results, errors, and files, and control the filesystem, processes, and network inside the box. Sandboxes can be short-lived for one-off execution or long-lived for autonomous agents doing research, analysis, or reinforcement learning. E2B is model-agnostic: it runs whatever code the agent produces, regardless of which LLM generated it.
Integrations & setup
Works alongside agent frameworks (LangChain, the Vercel AI SDK, and others) via Python and JavaScript SDKs. Use the managed cloud to get started, or self-host the open-source runtime.
Pricing
Usage-based. A free tier is available; paid usage is billed by sandbox runtime, with higher and enterprise tiers for scale.
Traction
E2B was founded in 2023 by Vasek Mlejnsky and Tomas Valenta. It raised an $11.5M seed in 2023 (led by Decibel Partners) and a $21M Series A in July 2025 (led by Insight Partners), about $32.5M total per public reporting.
Best for / not for
Best for developers and platforms building agents or AI features that need to run code securely, especially code interpreters and autonomous data work. Not a fit if you want a finished agent rather than the runtime to build one.
Alternatives
Browserbase is the analogous managed-runtime play for browsers rather than code execution.
What people are saying
We aggregate real LinkedIn discussion into sentiment for the agents people search most. E2B isn't tracked yet, want it added? Request tracking.
FAQ
Is E2B an AI agent?+
No. E2B is the secure runtime an agent executes code inside. It provides sandboxes, code execution, and environment control; the agent's reasoning and autonomy live in your application, not in E2B.
Is E2B open source?+
The SDK and runtime core are open-source and self-hostable. E2B also runs a managed cloud with a free tier and usage-based paid plans for teams that do not want to operate the infrastructure themselves.
Sources
- E2B documentation · accessed 2026-06-19
- E2B raises $21M Series A (E2B blog) · accessed 2026-06-19
- E2B pricing · accessed 2026-06-19
- e2b-dev on GitHub · accessed 2026-06-19
Last reviewed 2026-06-19