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Best AI agent sandboxes in 2026

Answer in brief

The best AI agent sandboxes in 2026 are E2B (the most widely adopted, open-source microVM sandbox), Daytona and Modal Sandboxes. The right choice depends on your workload: coding agents → Daytona; code interpreters → E2B; RL training and evals → Modal Sandboxes; computer-use agents → Daytona.

By the Agent Sandboxes editors · Updated

Top picks by use case

The best agent sandboxes, ranked

Ordered by breadth of fit across use cases, maturity and adoption — see methodology. For a specific workload, use the best-for rankings.

  1. E2B

    Open-source cloud sandboxes for AI agents, each a Firecracker microVM, with pause/resume, snapshots and forking.

    • Firecracker microVM
    • Open source
    • Self-hostable
    • BYOC
    • Pause/resume

    Why it’s here: The most widely adopted agent sandbox: Firecracker microVM isolation, pause/resume, snapshots and forking, dedicated code-interpreter and desktop SDKs, SOC 2 Type II, and an Apache-2.0 codebase you can self-host or run via BYOC. CPU-only, and sessions top out at 24 hours on Pro.

  2. Daytona

    Stateful sandboxes for AI-generated code — Linux containers, Linux and Windows VMs, macOS and GPU sandboxes — with snapshots, volumes and preview URLs.

    • Containers or VMs
    • BYOC
    • GPU
    • Pause/resume

    Why it’s here: Stateful-by-default workspaces with the broadest SDK coverage (Python, TypeScript, Ruby, Go, Java), plus GPU, Windows and macOS sandboxes and BYOC. Vendor-claimed sub-90 ms creation. Default Linux sandboxes use container isolation, and the project is no longer actively open source.

  3. Vercel Sandbox

    Firecracker microVM sandboxes on Vercel’s infrastructure, persistent by default and billed on active CPU, with fine-grained egress control.

    • Firecracker microVM
    • Pause/resume

    Why it’s here: Firecracker microVMs that are persistent by default, a firewall with credential brokering that keeps secrets out of the sandbox, and active-CPU billing that skips idle time. No GPUs or self-hosting.

  4. Fly.io Sprites

    Persistent, hardware-isolated Linux computers for AI agents with a durable 100 GB disk, checkpoints, and no compute charges while idle.

    • MicroVM
    • Pause/resume

    Why it’s here: A durable, hardware-isolated computer per agent with a 100 GB disk, one-second checkpoints and no compute charge while asleep. Ideal for long-lived agents; no GPUs.

  5. Cloudflare Sandbox SDK

    A TypeScript SDK for Cloudflare Workers that runs untrusted code in Linux sandboxes backed by Cloudflare Containers and Durable Objects.

    • MicroVM (Containers)
    • Open source
    • Snapshots

    Why it’s here: MicroVM-backed containers driven from Workers code, with egress and credential injection controlled by your own Worker and global placement. TypeScript-only and slower cold starts (1–3 s).

  6. Freestyle

    Full Linux VMs for AI agents with live forking of running VMs, memory-preserving hibernation, VPCs and nested virtualization.

    • VM
    • Pause/resume

    Why it’s here: Full Linux VMs with live forking (including memory), hibernation, nested virtualization and default-deny networking. Vendor-claimed 65 ms starts. TypeScript-only SDK and no published compliance attestations yet.

  7. Blaxel

    Perpetual microVM sandboxes for AI agents that drop to standby when idle and resume with memory intact, plus volumes, batch jobs and MCP hosting.

    • MicroVM
    • BYOC
    • Pause/resume

    Why it’s here: Perpetual sandboxes that resume quickly from standby, aimed at agents that need to stay available without paying for idle compute.

  8. Northflank Sandboxes

    Sandboxes on Northflank’s Kubernetes-based platform — microVMs for CPU work, gVisor for GPUs — on Northflank’s cloud or in your own cloud account.

    • Cloud Hypervisor microVM
    • BYOC
    • GPU
    • Pause/resume

    Why it’s here: Cloud Hypervisor microVMs, gVisor GPUs and BYOC on any major cloud, alongside a full app platform. Review the October 2026 security incident and response before adopting.

  9. Microsandbox

    Open-source, local-first microVM runtime that gives each sandbox its own Linux kernel, with an optional managed cloud.

    • MicroVM (libkrun)
    • Open source
    • Self-hostable
    • BYOC
    • Snapshots

    Why it’s here: The most approachable open-source microVM runtime for running sandboxes on your own machines, with SDKs in five languages and secrets kept out of the VM.

Agent sandbox comparison table

SandboxIsolationOpen sourceSelf-host / BYOCCold start (vendor)Max sessionSnapshots / pauseGPUSDKs
E2BFirecracker microVMYesYes / YesNot documented1 h / 24 h (Pro)Yes / YesNoPython, JavaScript/TypeScript
DaytonaContainers or VMsNoNot documented / Yes<90 msUnlimitedYes / YesYesPython, TypeScript, Ruby, Go, Java
Modal SandboxesgVisor or VMNoNo / Not documented<1 sUp to 24 hYes / YesYesPython, JavaScript/TypeScript, Go
Vercel SandboxFirecracker microVMNoNo / NoMilliseconds (claim)24 h (Pro)Yes / YesNot documentedJavaScript/TypeScript, Python
Fly.io SpritesMicroVMNoNo / No0.1–2 s wakeUnlimitedYes / YesNoJavaScript/TypeScript, Go, Python, Elixir
Cloudflare Sandbox SDKMicroVM (Containers)YesNo / No1–3 sNo fixed capYes / Not documentedNot documentedTypeScript (Workers)
FreestyleVMNoNo / Not documented65 msUnlimited (paid)Yes / YesNot documentedTypeScript
BlaxelMicroVMNoNo / Yes<25 ms resumeUnlimited (standby)Yes / YesNot documentedTypeScript, Python, Go
Northflank SandboxesCloud Hypervisor microVMNoNo / Yes<1 sUnlimitedNot documented / YesYesJavaScript/TypeScript, Python
MicrosandboxMicroVM (libkrun)YesYes / Yes<100 msNot documentedYes / Not documentedNoTypeScript, Python, Rust, Go, Ruby, CLI, MCP server

Open the full comparison of all 21 sandboxes →

What is an agent sandbox?

An agent sandbox is an isolated, programmable computer where an AI agent can run the code it writes, install packages, edit files and browse — without touching your machine, your production systems or other users’ data. Most hosted sandboxes start in under a second or two, are driven from an SDK, and isolate workloads with microVMs or gVisor. Read the full explainer: What is an AI agent sandbox?

How we rank

Every fact on this site comes from providers’ own documentation and is dated; cold-start numbers are vendor claims. Rankings are editorial and per use case, based on documented capabilities: isolation, startup, state, workload range, network control, deployment options, developer experience and pricing transparency. No provider pays for placement. Read the methodology.

Frequently asked questions

What is the best AI agent sandbox?
There is no single best for every workload. E2B is the most widely adopted all-rounder, Daytona leads for stateful coding workspaces, and Modal leads for scale and GPUs. See best by use case.
What is an agent sandbox?
An isolated, programmable environment — usually a microVM or gVisor container — where an AI agent can run code, install packages and use files without risking the host or other users. See What is an AI agent sandbox?
Which agent sandboxes are open source?
E2B (Apache-2.0, self-hostable), Kubernetes Agent Sandbox (Apache-2.0), Microsandbox (Apache-2.0) and Anthropic’s Sandbox Runtime (Apache-2.0). Several others open-source only their SDKs. See open-source sandboxes.
Which agent sandboxes support GPUs?
Modal, Daytona, Northflank, Beam and Koyeb offer GPUs in sandboxes; on Kubernetes, GKE Agent Sandbox supports GPUs with gVisor. E2B, Vercel Sandbox and Fly.io Sprites are CPU-only or do not document GPUs. See GPU sandboxes.
Are microVMs safer than containers for AI agents?
Generally yes for untrusted, multi-tenant code: a microVM gives each sandbox its own kernel behind hardware virtualization, while containers share the host kernel. gVisor is a strong middle ground. See microVMs vs gVisor vs containers.
How much does an agent sandbox cost?
Most bill per second for vCPU and memory — roughly $0.03–$0.15 per vCPU-hour at published rates — plus storage and sometimes a platform fee. Idle time usually dominates the bill. See pricing explained.
Is Runloop shutting down?
Yes. Runloop’s documentation says it is winding down, with transition support for existing customers ending November 13, 2026. Its migration guides point to Tensorlake, Modal and Freestyle. See Runloop alternatives.
How many agent sandboxes does this site track?
21 active sandboxes with full profiles in the directory, each with sourced facts and a verification date, plus newer entrants listed as “also tracked”.

Cite this page

Agent Sandboxes. (2026). Best AI agent sandboxes in 2026. agentsandboxes.org. Last reviewed November 8, 2026. https://agentsandboxes.org/

Found an error or a missing sandbox? Submit a correction — every entry links to the sources it relies on.