E2B

The moment you let an AI agent actually run code, you have a serious problem: you can't just execute arbitrary AI-generated code on your own servers and hope for the best. E2B solves exactly that — it provides open-source, isolated cloud sandboxes where AI agents can securely execute code and use real-world tools, safely walled off from everything else.

A safe place for agents to run code

E2B gives AI agents isolated sandbox environments to run Python, JavaScript and other languages inside microVM-based containers powered by Firecracker technology (the same isolation tech behind serverless platforms). That means an agent can write and execute code, install packages, read and write files, and use a terminal — all without any risk to your infrastructure. For anyone building agentic AI, that secure execution layer is a foundational, hard-to-build-yourself piece.

Fast and long-running

Performance is a big deal for agent workflows, and E2B delivers sub-200ms startup times so spinning up a sandbox doesn't bottleneck your agent, plus support for sessions up to 24 hours for longer, stateful tasks. It integrates with major LLM providers including OpenAI, Anthropic, Mistral and Meta's models, so it drops into whatever AI stack you're using. It pairs naturally with vector databases like Weaviate and Qdrant in the broader agent infrastructure toolkit.

Built for real agent use cases

E2B is designed for the workloads people are actually building: deep-research agents, data-analysis tools, coding assistants and reinforcement-learning systems. Anywhere an AI needs to genuinely do things — run a calculation, execute a script, manipulate files — rather than just talk, E2B is the safe environment where that happens.

Open and enterprise-ready

Being open source means transparency and the option to inspect or self-host, while the platform is built to enterprise-grade standards for companies deploying agents in production. That combination is increasingly what serious AI teams look for.

Who it's for

E2B suits enterprise companies, AI startups and developers building agentic workflows — anyone whose AI needs to execute code and use tools securely rather than merely generate text.

Pricing

E2B is freemium with paid tiers (including a Pro plan) for heavier usage; you can start free to build and test your agents' code execution before scaling up. Being open source, self-hosting is also on the table for teams that want full control.

Bottom line: E2B is the secure, open-source sandbox layer for AI agents — fast, isolated microVMs where agents can safely run code and use real tools, making it foundational infrastructure for anyone building serious agentic applications.