E2B

What does E2B do?

E2B runs isolated cloud sandboxes that let AI agents execute code, use real-world tools, and work inside full virtual computers. The platform's sandbox pipeline supports deep research, computer use, automations, background jobs, and reinforcement learning workflows, while features like Secure MCPs and AI data analysis & visualization help teams move from prompts to executable actions. It's built around open-source infrastructure and developer-facing APIs, so teams can wire agent behavior into their own products without stitching together a separate execution layer. At scale, E2B says it has powered 1B+ started sandboxes and supports thousands of concurrent sessions, with enterprise deployments spanning 94% of Fortune 100 companies. The enterprise offering adds BYOC + on-prem, role-based access control, isolation, SLA support, and US & EU Regions for data and compute. Customers highlighted on the site include Hugging Face, Manus, Groq, and Lindy, showing use across code tests, virtual computers, and agentic workflows.

Why use E2B?

• Open-source infrastructure lets teams inspect the stack and build on top of it without treating execution as a black box.
• BYOC + on-prem deployment gives security-conscious buyers control over where sandboxes run and where data stays.
• Isolation and enterprise-grade security reduce the risk of untrusted code touching internal systems or credentials.
• The platform is proven at very large scale, with 1B+ started sandboxes and thousands of concurrent sessions.
• Self-hosting and enterprise support make it easier to match internal compliance and operational requirements.

Who is E2B for?

• AI product teams who need sandboxed execution for agent workflows and code generation.
• Platform engineers who want isolated infrastructure for running untrusted LLM-generated code.
• Research teams who need repeatable sandboxes for experiments, training runs, and analysis.
• Enterprise developers who need deployment flexibility, access controls, and support commitments.
• Startup builders who want to ship agent features without building sandbox infrastructure in-house.

What are E2B's key features?

What does E2B integrate with?

• OpenAI
• Anthropic
• Mistral
• Llama
• LangChain
• LlamaIndex
• Vercel
• Calendly
• Stripe

What are E2B's use cases?

How does E2B work?

1. Connect your first workload by launching a sandbox from the dashboard, then choose the right runtime settings for the job. Use Isolation to keep untrusted code separated from your main systems.
2. Attach your agent stack with Secure MCPs and your preferred model tools, such as OpenAI, Anthropic, or LangChain. This gives agents controlled access to external actions without broad permissions.
3. Run coding agents or Computer Use Agents inside the sandbox to generate, execute, and verify code. Monitor each session as it progresses, and use Background Agents for longer tasks.
4. Inspect outputs with AI data analysis & visualization, then tune CPU, RAM, and session length as usage grows. Add Role-based access control and BYOC + On-prem when you need stricter governance.
5. Scale into production with Built to scale and US & EU Regions, keeping workloads close to users and teams. Use SLA and Self-hosting options to support ongoing reliability and enterprise deployment needs.

How much does E2B cost?

Frequently asked questions