Best sandboxes for coding agents

Verified 2026-07-26

1. 1
   Daytona AI code-execution sandbox

   An open-source, container-isolated sandbox for AI agents with ~90ms creation, persistent stateful workspaces, mid-execution snapshots and optional H100 GPUs.

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2. 2
   E2B AI code-execution sandbox

   A Firecracker-microVM sandbox that gives AI agents a secure, ~150ms-cold-start environment to run generated code, with pause/resume and filesystem snapshots.

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3. 3
   Runloop AI code-execution sandbox

   Provides enterprise "devbox" infrastructure for coding agents: SOC 2, 10K+ parallel instances, git-style disk snapshots with branching, and built-in SWE-bench evaluation.

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4. 4
   CodeSandbox SDK AI code-execution sandbox

   (now Together Code Sandbox) runs Firecracker microVMs with a git-versioned filesystem, ~500ms resume and sub-second forking, tuned for web-dev agents.

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5. 5
   Modal AI code-execution sandbox

   A Python-first serverless compute platform whose Sandboxes offer gVisor isolation, sub-second cold start and, uniquely, GPUs (T4 through B200) inside the sandbox.

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6. 6
   Freestyle AI code-execution sandbox

   Gives AI agents hardware-virtualized Linux VMs with built-in Git, real persistent state and per-second billing at $0.04/vCPU-hr.

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7. 7
   Fly.io Sprites AI code-execution sandbox

   Are stateful sandbox environments on Firecracker microVMs, with a persistent ext4 filesystem and roughly 300ms checkpoint/restore, that pause to zero cost when idle.

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