E2B Reusable Secure Sandbox

The important shift was from building one AI worker to selling the secure computer that any AI worker can use. That moves E2B from competing on agent behavior, where models and app features change fast, to owning the layer every serious agent needs when it must run code, use files, open browsers, and do it safely inside an isolated machine. Its product is the sandbox session itself, sold as open source software plus managed operations.1 2 3 4 5

• A sandbox is not just a container for prompts. E2B runs each agent session inside a Firecracker microVM that can start from snapshots, execute arbitrary code, and pause and resume. That makes it useful for coding agents, code interpreters, browser automation, and enterprise workflows that handle untrusted output.3 4 5
• This puts E2B closer to infrastructure companies like Daytona and Vercel Sandbox than to agent apps like Manus. The buyer is usually a product team or platform engineer that wants an API for temporary computers, not a finished agent UI. E2B gets paid for compute and operations, while customers still choose their own models and frameworks.1 6 7
• The open source runtime matters strategically because it lowers adoption friction and lets partners build on the same standard. E2B now exposes Apache-2.0 runtime code, supports self hosted and bring your own cloud deployments, and partnered with Docker to add MCP tools inside each sandbox, which strengthens its position as a neutral runtime layer.3 4 8 9

The next phase is a race to become the default execution layer beneath enterprise agents. If E2B keeps turning sandboxing into a standard API that works across cloud, self hosted, and embedded deployments, it can become infrastructure that developers pick once and reuse across many agent products, which is a much larger and stickier market than any single agent application.2 3 8 9