Ranked · neutral · dated

Best sandboxes for coding agents

Coding agents need fast environments, snapshots/branching and, increasingly, evaluation harnesses. This is the shortlist tuned for build-and-test agent loops.

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.

    Details →
  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.

    Details →
  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.

    Details →
  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.

    Details →
  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.

    Details →

How we ranked this

A curated shortlist of providers whose feature set (snapshots, forking/branching, devbox tooling or eval harnesses) targets code-writing agents specifically, ordered by published start-up time.

Rankings reflect published specs as of the verified date and are not paid placements. Corrections welcome at [email protected].

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