E2B Provides Agent Workspaces

The key business point is that E2B sits in the compute layer of the agent stack, not the intelligence layer. It sells the remote machine where an agent can browse, run terminal commands, write files, keep state, and execute code over long sessions. That makes E2B closer to AWS for agent workers than to Anthropic, OpenAI, or an agent framework that decides what to do next.1 2 3 4

• In practice, E2B provides a full Linux microVM per session, with shell, filesystem, browser, network controls, secrets handling, pause and resume, and observability. Its Code Interpreter and Desktop products are packaged ways to expose that machine to agents that need code execution or GUI control.1 2
• Manus shows the division of labor clearly. Its planner breaks a request into subtasks, then executor agents use browser, terminal, and files inside an E2B virtual computer. E2B is the workspace those agents act inside, while Manus owns the planner, user experience, and subscription relationship.3 4
• That position gives E2B broad compatibility but also puts it into an infrastructure race. It can work with any model or agent harness, yet adjacent platforms like Vercel are adding their own sandbox products, trying to bundle execution, hosting, and workflow orchestration into one stack for agent built apps.1 5

Going forward, the winner in this layer will be the platform that becomes the default computer for agents across coding, research, and desktop automation. If agent products keep separating planner from execution environment, E2B can become shared infrastructure across many apps, much like cloud compute under many SaaS products today.1 2 5