Best sandboxes for coding agents
Verified 2026-07-26
- 1Daytona AI code-execution sandboxDetails →
An open-source, container-isolated sandbox for AI agents with ~90ms creation, persistent stateful workspaces, mid-execution snapshots and optional H100 GPUs.
- 2E2B AI code-execution sandboxDetails →
A Firecracker-microVM sandbox that gives AI agents a secure, ~150ms-cold-start environment to run generated code, with pause/resume and filesystem snapshots.
- 3Runloop AI code-execution sandboxDetails →
Provides enterprise "devbox" infrastructure for coding agents: SOC 2, 10K+ parallel instances, git-style disk snapshots with branching, and built-in SWE-bench evaluation.
- 4CodeSandbox SDK AI code-execution sandboxDetails →
(now Together Code Sandbox) runs Firecracker microVMs with a git-versioned filesystem, ~500ms resume and sub-second forking, tuned for web-dev agents.
- 5Modal AI code-execution sandboxDetails →
A Python-first serverless compute platform whose Sandboxes offer gVisor isolation, sub-second cold start and, uniquely, GPUs (T4 through B200) inside the sandbox.
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].