When an AI agent writes code and you actually want to run it — not just show it to the user — you have a problem: that code could do anything, including deleting files or making network calls you didn't authorize. A "sandbox" solves this by giving the agent a disposable, isolated environment to run in, one that gets thrown away after each run and can never touch your real production systems. Daytona and E2B are two of the most established ways to do this, and they list each other as direct alternatives — both spin up secure, short-lived sandboxes for AI-generated code, and the differences come down to speed, language support and how open the underlying stack actually is.
Daytona — sub-90ms startup, fully open source
Daytona is sandboxed cloud execution infrastructure built for AI agents to run code in under 90 milliseconds, across Python, TypeScript, Go, Ruby and Java. It's open source under AGPL with over 72,000 GitHub stars, and beyond code execution it also supports "Computer Use" for full desktop automation, not just isolated script runs. It closed a $24M Series A in February 2026, with customers including LangChain and SambaNova.
For who: teams building AI coding agents, LLM code interpreters or automation platforms that need to spin sandboxes up and down constantly and want the option to self-host the open-source core.
Price: pay-as-you-go based on vCPU/GPU/memory/storage/OS type, with volume discounts; free tier gives $200 in compute credits with no card required; a startup program offers up to $50,000 in credits; Enterprise is custom, with SSO, audit logs and BYOC.
Strengths: the fastest sandbox creation time of the two, a genuinely open (AGPL) codebase with a large and active GitHub community, support for five languages plus full desktop automation, and real institutional backing.
Limits: compute costs sit on top of whatever LLM API calls the agent itself makes, it only makes sense if your product genuinely needs to execute untrusted AI-generated code, and it's competing directly with E2B, which has a longer track record specifically in the code-interpreter space.
E2B — Firecracker microVMs, the longer track record
E2B provides secure, disposable cloud sandboxes that let AI agents safely execute generated code without touching real production systems, built on Firecracker microVMs with sub-200ms startup. It offers a full Linux environment with internet access — not a restricted, JS-only isolate — and ships an open-source core SDK alongside self-hosted/BYOC options for compliance-sensitive teams.
For who: AI and agent developers, startups and enterprises that need to safely run AI-generated code and want the option to self-host for compliance reasons.
Price: free tier gives $100 in usage credits; Pro is $150/month plus usage (from roughly $0.000014/second of CPU and $0.0000045/second/GiB of RAM); Enterprise is custom.
Strengths: a full Linux environment rather than a restricted isolate, an open-source core SDK with genuine self-hosted/BYOC options, and the longest track record of the two in the code-interpreter category specifically.
Limits: the category has gotten crowded — Modal, Daytona and Northflank all now offer overlapping sandbox products — the $150/month Pro floor plus metered usage adds up at production scale, and Cloudflare's V8-isolate approach starts faster if all you need is pure JavaScript execution.
Side-by-side
| Daytona | E2B | |
|---|---|---|
| Sandbox startup | Sub-90ms | Sub-200ms (Firecracker microVMs) |
| Languages | Python, TypeScript, Go, Ruby, Java + desktop automation | Full Linux environment, any language, internet access |
| License | AGPL, 72,000+ GitHub stars | Open-source core SDK + self-hosted/BYOC |
| Free tier | $200 compute credits | $100 usage credits |
| Paid entry | Pay-as-you-go, no fixed floor | $150/mo Pro floor + usage |
| Funding | $24M Series A (Feb 2026) | Not disclosed in this listing |
Verdict
Pick Daytona if raw sandbox startup speed matters most to your product, you want the most permissively-documented open-source community to lean on, or you need desktop-level automation and not just code execution.
Pick E2B if you want a full, unrestricted Linux environment with internet access by default, you value E2B's longer track record specifically in AI code interpretation, or self-hosted/BYOC compliance is a hard requirement and you want the more established option for it.
In practice, both are built for the same job and list each other as the direct alternative — for most teams the deciding factor ends up being which one's free-tier credits and pricing model fit your actual usage pattern, since the core sandboxing guarantees are comparable.