What is E2B?
E2B runs Firecracker microVM sandboxes that let AI agents execute untrusted code (Python, JS, Ruby, C++) in isolated cloud environments. Sold to developers building code-execution features into LLM apps and enterprise teams running agent workloads at scale. Differentiator is sub-200ms sandbox start with sessions up to 24 hours.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Code interpreter inside an LLM chat product
Agent that writes and runs data analysis on uploaded CSVs
Sandboxed shell for autonomous coding agents
Running untrusted user-submitted code in SaaS workflows
Fit to evaluate
Devs shipping ChatGPT-style code interpreter features
AI startups building autonomous coding agents
Enterprises needing isolated execution for agent workflows
Researchers running large-scale agent evaluations
Business fit
Right for you if your agent needs to run arbitrary generated code, do data analysis, or shell out to a terminal without compromising your infrastructure. The Hobby tier's $100 of credits lets you prototype before committing. Skip if your agents only call APIs or if you can safely run code in your own containers. Enterprise sales motion if you need on-prem or compliance.
How to evaluate E2B
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map E2B to one concrete workflow first, such as code interpreter inside an llm chat product. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Shortlist E2B against Orgo, Browser Use, Browserbase so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Hobby free with $100 one-time credits, 1hr sessions, 20 concurrent sandboxes. Pro $150/mo with 24hr sessions and 100 concurrent. Usage-based on top: CPU $0.000014-0.000112/sec (1-8 vCPUs), RAM $0.0000045/GiB/sec. Ultimate enterprise is contact sales. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare E2B with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Code interpreter inside an LLM chat product, Agent that writes and runs data analysis on uploaded CSVs |
|---|---|
| Best-fit team | Devs shipping ChatGPT-style code interpreter features, AI startups building autonomous coding agents |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Free plan + paid plans |
| Closest alternatives | OrgoBrowser UseBrowserbaseHyperbrowser |
E2B pricing
| Model | Free plan + paid plans |
|---|---|
| Snapshot | Hobby free with $100 one-time credits, 1hr sessions, 20 concurrent sandboxes. Pro $150/mo with 24hr sessions and 100 concurrent. Usage-based on top: CPU $0.000014-0.000112/sec (1-8 vCPUs), RAM $0.0000045/GiB/sec. Ultimate enterprise is contact sales. |
| Checked |
Common questions about E2B
What is E2B?
E2B runs Firecracker microVM sandboxes that let AI agents execute untrusted code (Python, JS, Ruby, C++) in isolated cloud environments. Sold to developers building code-execution features into LLM apps and enterprise teams running agent workloads at scale. Differentiator is sub-200ms sandbox start with sessions up to 24 hours.
What is E2B used for?
Common use cases: Code interpreter inside an LLM chat product; Agent that writes and runs data analysis on uploaded CSVs; Sandboxed shell for autonomous coding agents; Running untrusted user-submitted code in SaaS workflows.
How much does E2B cost?
Hobby free with $100 one-time credits, 1hr sessions, 20 concurrent sandboxes. Pro $150/mo with 24hr sessions and 100 concurrent. Usage-based on top: CPU $0.000014-0.000112/sec (1-8 vCPUs), RAM $0.0000045/GiB/sec. Ultimate enterprise is contact sales.
Who is E2B best for?
E2B fits Devs shipping ChatGPT-style code interpreter features, AI startups building autonomous coding agents, Enterprises needing isolated execution for agent workflows, Researchers running large-scale agent evaluations. Right for you if your agent needs to run arbitrary generated code, do data analysis, or shell out to a terminal without compromising your infrastructure. The Hobby tier's $100 of credits lets you prototype before committing. Skip if your agents only call APIs or if you can safely run code in your own containers. Enterprise sales motion if you need on-prem or compliance.
What are alternatives to E2B?
Common alternatives to E2B include Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, Anchor Browser.