E2B
UnclaimedThe open-source, secure cloud environment for enterprise-grade AI agents and LLM training.
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TL;DR - E2B
- Provides secure, open-source AI sandboxes for agent development.
- Enables AI agents to perform deep research, computer use, and automations.
- Supports LLM training and Multi-Agent Systems with customizable compute resources.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Open-source and secure environment
- Flexible and scalable compute resources for AI agents
- Supports various AI agent types and LLM training
- Free hobby tier available with no credit card required
- Used by major AI companies like Perplexity and Hugging Face
Cons
- Usage costs are separate from monthly fees and can add up
- Ultimate/Enterprise pricing requires direct contact, lacking transparency
Preview
Key Features
Open-source AI sandboxesSecure execution environment for AI agentsReal-world tools for agentsDeep research agents for large datasetsComputer use agentsAutomation agentsBackground agentsReinforcement learning support
Pricing Plans
Hobby
Free + Usage Costs
- One-time $100 of usage in credits
- Community support
- Up to 1-hour sandbox session length
- Up to 20 concurrently running sandboxes
Pro
$150/mo + Usage Costs
- Everything in the Hobby tier
- Customize your Sandbox CPU & RAM
- Up to 24-hour sandbox session length
- Up to 100 concurrently running sandboxes
Enterprise
Contact us
- Custom solution with special pricing
What is E2B?
E2B provides AI sandboxes, which are secure, open-source environments equipped with real-world tools for developing and deploying enterprise-grade AI agents. It's designed to enable AI agents to perform complex tasks like deep research on large datasets, computer usage, and various automations. The platform supports LLM training and the creation of Multi-Agent Systems (MCPs).
This cloud platform is ideal for developers and organizations building sophisticated AI agents that require a robust and secure execution environment. It offers features like customizable CPU and RAM for sandboxes, varying session lengths, and concurrent sandbox capabilities, making it suitable for a wide range of AI development and operational needs, from individual hobbyists to large enterprises.
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E2B FAQ
What types of AI agents can E2B support?
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.
How does E2B facilitate deep research for AI 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.
What are the sandbox session length limitations for different E2B plans?
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.
Can I customize the CPU and RAM for my sandbox environment?
Yes, with the Pro plan, users can customize their sandbox CPU and RAM configurations. The Hobby plan uses default settings for these resources.
How is storage handled for E2B sandboxes?
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.
What are the concurrent sandbox limits for E2B plans?
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