
The open-source, secure cloud environment for enterprise-grade AI agents and LLM training.
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Secure foundation for enterprise AI with private LLMs and agentic workflows.
E2B is designed to support various types of AI agents, including deep research agents, computer use agents, automation agents, background agents, and reinforcement learning agents. It provides an open-source, secure environment with real-world tools for these enterprise-grade agents.
E2B enables deep research agents to conduct time-consuming research on large datasets. This capability allows AI agents to process and analyze extensive information efficiently.
The Hobby plan offers sandbox session lengths of up to 1 hour, while the Pro plan extends this to up to 24 hours. The Ultimate and Enterprise plans likely offer custom or extended session lengths.
Yes, with the Pro plan, users can customize their sandbox CPU and RAM configurations. The Hobby plan uses default settings for these resources.
The Hobby plan includes 10 GiB of storage for free, and the Pro plan offers 20 GiB of storage for free. For needs exceeding these amounts, users can inquire about more powerful compute options.
The Hobby plan allows up to 20 concurrently running sandboxes. The Pro plan increases this limit to up to 100 concurrently running sandboxes.
Source: e2b.dev