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E2B

Updated Jul 25, 2026
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Open-source, secure sandbox for AI agents. Run code, analyze data, and deploy agents with enterprise-grade isolation. Trusted by Fortune 100.

#ai sandbox#secure execution#microvm#agent framework#cloud sandbox
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Editor's Verdict

Rating: 4.5/5.0Reviewed by RAGWiki
At Free (with $100 usage credit), E2B stands out as a powerful solution in the developer tools,research landscape. It is especially well-suited for professionals like AI/ML Engineer and Data Scientist. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid usage-based costs can add up. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • Deep Research Agents
  • AI Data Analysis & Visualization
  • Coding Agents
  • Vibe Coding

In-Depth Review: What is E2B?

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E2B provides an open-source, secure sandbox platform for building and running AI agents. It offers real-world tools such as code execution, data analysis, computer use, and internet access, all within isolated microVMs. With support for any LLM, fast cold starts, and up to 24-hour sessions, E2B enables enterprise-grade agentic workflows. Recently funded with a $21M Series A, it is trusted by Fortune 100 companies and hypergrowth AI startups.

Core Features

Deep Research Agents

Enable your agent to conduct time-consuming research on large datasets.

AI Data Analysis & Visualization

Connect your data to an isolated sandbox to securely explore data and generate charts.

Coding Agents

Securely execute code, use I/O, access the internet, or start terminal commands.

Vibe Coding

Use a sandbox as a code runtime for AI-generated apps, supporting any language and framework.

Reinforcement Learning

Use tens of thousands of concurrent sandboxes to run and evaluate reward functions.

Computer Use

Use Desktop Sandbox to provide secure virtual computers in cloud for your LLM.

Works with any LLM

Compatible with OpenAI, Llama, Anthropic, Mistral, or custom models.

Secure & Isolated

Each sandbox is powered by Firecracker microVM for full isolation of untrusted workflows.

Up to 24h Long Sessions

Sandbox can run up to 24 hours for long-running tasks.

BYOC / On-Prem / Self-Hosted

E2B works in your AWS, GCP, or Azure account, or your VPC.

Pricing

Hobby

Free (with $100 usage credit)
  • One-time $100 of usage credits
  • Community support
  • Up to 1-hour sandbox session length
  • Up to 20 concurrently running sandboxes
Most Popular

Pro

$150/month
  • Everything in the Hobby tier
  • Customize your Sandbox CPU & RAM
  • Up to 24-hour sandbox session length
  • Up to 100 concurrently running sandboxes
  • Ability to purchase extra concurrency up to 1,100

Ultimate (Enterprise)

Contact us
  • Custom solution with special pricing
  • Contact us for details

Pros and Cons

Pros

  • Open-source and transparentE2B is open-source, allowing full access to codebase and community contributions.
  • Fast startup timesSandboxes start in as low as 80 ms, reducing cold start latency.
  • Secure and isolatedPowered by Firecracker microVM, ensuring strong isolation for untrusted code.
  • Flexible and customizableSupport for any LLM, any programming language, and custom sandbox templates.
  • Long-running sessionsSessions can last up to 24 hours, suitable for extended tasks.

Cons

  • Usage-based costs can add upBeyond the free tier and Pro subscription, charges per second for CPU, RAM, and storage can become expensive at scale.
  • Limited free tierFree tier allows only 1-hour session length and 20 concurrent sandboxes, which may be insufficient for heavy workloads.
  • No offline modeRequires internet connection; no local-only usage option.
  • Complex pricing structureSeparate usage costs on top of plan fees can be confusing to estimate.
  • Enterprise features not fully self-serveUltimate plan requires contacting sales, with no transparent pricing.

Use Cases & Recommended Professions

AI/ML Engineer→ View Toolkit

Needs secure sandbox for training and evaluating reinforcement learning models or running AI agent experiments at scale.

Data Scientist→ View Toolkit

Requires isolated environment for data analysis, visualization, and running data-heavy notebooks with AI assistance.

Software Developer→ View Toolkit

Uses sandbox for AI-generated code testing, debugging, and integration with various LLMs.

Research Scientist→ View Toolkit

Leverages long-running sessions and concurrent sandboxes for deep research and large-scale simulations.

DevOps Engineer→ View Toolkit

Utilizes BYOC and on-prem capabilities to embed secure AI agent execution into existing cloud infrastructure.

Product Manager (AI features)→ View Toolkit

Needs to prototype and test AI agent workflows rapidly without managing underlying infrastructure.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of E2B were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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