E2B
Sandboxed cloud runtime that AI agents actually execute code in
Overview
E2B runs AI-generated code in isolated, Firecracker-based cloud sandboxes with per-second billing. Used by Anthropic, Perplexity and Hugging Face to power code-interpreter and agent features; commits landing daily.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- $100 starter credits
- Up to 1-hour sandbox sessions
- Up to 20 concurrent sandboxes
- Community support
- Customizable sandbox CPU & RAM
- Up to 24-hour sandbox sessions
- Up to 100 concurrent sandboxes (extendable to 1,100)
- Priority support
- Custom concurrency & session limits
- Enterprise support and SLAs
- Minimum ~$3,000/mo per third-party reporting
Use cases
What you can produce with E2B
- Isolated Firecracker microVM sandboxes for AI-generated code execution
- Python and JavaScript/TypeScript SDKs
- Built-in code-interpreter mode with multi-language support
- Self-hostable via Terraform on AWS, GCP, Azure, or bare Linux
- Customizable sandbox CPU/RAM and session length (up to 24h on Pro)
- Per-second usage billing on top of subscription tiers
ASEAN Perspective
E2B in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
E2B is plumbing, and good plumbing at that: fast-booting, isolated microVM sandboxes purpose-built for letting an AI agent run arbitrary code without putting your host at risk. The SDK quality (Python and TypeScript) and documentation are consistently the thing reviewers single out, and its customer list — Anthropic's Claude code interpreter, Perplexity's data-analysis features, Hugging Face's research infrastructure — is a real vote of confidence rather than logo-wall marketing, backed by $34.5M+ raised including a $21M Series A in mid-2025. The GitHub repo is genuinely active, with commits landing within the last day at time of writing.
It's not a product end users touch directly — value only shows up once you're building a code-interpreter, data-analysis agent, or autonomous coding tool on top of it. Pricing is usage-based on top of a $150/month Pro plan for production-grade concurrency and session length, which is fair but means costs scale with how hard your agents work; the free Hobby tier's one-hour sessions are prototyping-only. There are no G2 or Capterra reviews to check against — this is a developer-to-developer sell, evaluated by trying the SDK, not by reading star ratings.
What people say
E2B (FoundryLabs, Inc.) builds cloud sandboxes — isolated, Firecracker-microVM-backed environments — specifically for AI agents and LLM applications to execute code, run shell commands, and use tools without touching the host machine or a shared production environment. It's positioned squarely in the "agent execution layer" category alongside tools like Modal and Daytona, and reviewers writing head-to-head comparisons (Northflank, Beam, Better Stack) consistently describe it as the category pioneer with the strongest SDK ergonomics.
Its customer list is the strongest evidence of real-world traction: Anthropic uses it for Claude's code interpreter, Perplexity integrated it to power secure code execution behind its Pro-tier data-analysis feature (reportedly going from first integration to production in about a month), and Hugging Face used E2B to spin up tens of thousands of concurrent short-lived machines to replicate DeepSeek-R1 training runs. Company materials claim usage by roughly 88% of Fortune 100 companies in some capacity, more than 500 million sandboxes launched cumulatively, and 2 million-plus monthly SDK downloads — figures worth treating as vendor-reported since there's no independent audit behind them, but directionally consistent with the funding and customer list.
There are no reviews on G2, Capterra, or TrustRadius, so there isn't a conventional review-aggregator signal to cite — feedback lives instead in comparison blog posts and developer discussion, where the consistent praise is for setup speed (sandboxes boot in a few hundred milliseconds) and SDK clarity, with the main criticism being that costs can climb quickly under heavy concurrent agent workloads if you're not watching usage, since billing is per-second on top of the $150/month Pro subscription. The GitHub repository (e2b-dev/e2b) has 12,935 stars and commits as recent as the day before this review was written, confirming this is an actively developed project rather than one coasting on its funding round.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including E2B's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with E2B unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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