Index Agentica

Code sandboxes for AI agents

E2B, Daytona, Modal, Vercel Sandbox, Cloudflare Sandboxes, Fly.io Sprites and microsandbox compared on isolation, pricing, free tier, lifetime, persistence, egress controls, SDKs, GPUs and self-hosting.

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Comparison

Code sandboxes for AI agents
EntryIsolationCompute priceFree allowanceLifetimePersistenceEgress controlsSDKsGPUsSelf-host or BYOC
E2BFirecracker microVM with its own kernel$0.0504/vCPU-h and $0.0162/GiB-h, billed per second on provisioned size (default 2 vCPU, 4 GiB); Pro plan $150/moHobby plan with a one-time $100 usage credit; 20 concurrent sandboxesDefault 5 min; up to 1 h continuous (Hobby) or 24 h (Pro). Pausing resets the windowPause and resume keeps filesystem and memory; paused sandboxes kept indefinitely; volumesOn by default; allow_internet_access=False, or allow/deny lists of IPs, CIDRs and domains; BYO SOCKS5 proxy; secret injection at the egress proxyPython, JavaScript/TypeScript (plus a code interpreter SDK)Not offeredRuntime is open source (Apache-2.0); BYOC on AWS, GCP and Azure on Enterprise ($3k/mo minimum)
DaytonaOCI container by default; VM sandboxes (Linux, Windows, nested KVM), macOS and GPU sandboxes available$0.0504/vCPU-h, $0.0162/GiB-h, storage $0.000108/GiB-h after 5 GiB free; billed per second$200 of free computeRuns until stopped; auto-stop after 15 min of inactivity by default, plus auto-archive and auto-deleteStopped and archived sandboxes keep their filesystem; snapshots and forkSet by org tier (Tier 1-2 restricted, Tier 3-4 open); per sandbox network_block_all, CIDR allowlist, domain allowlist or outbound proxy, changeable at runtimePython, TypeScript, Go, Java, RubyYes, up to 8 GPUs per sandbox (e.g. H100 $2.27/h preemptible, $3.95/h on-demand)BYOC on Enterprise. The public AGPL-3.0 repo is no longer maintained (since June 2026)
ModalgVisor by default; optional runtime="vm" with its own Linux kernel$0.00003942 per physical core per second (1 core = 2 vCPU, about $0.071/vCPU-h) and $0.024/GiB-hStarter plan includes $30/month of creditsDefault 5 min, maximum 24 h; idle_timeout optionalFilesystem snapshots (30-day default TTL since Python SDK 1.5), memory snapshots (7 days), volumesblock_network=True, outbound CIDR allowlist, domain allowlist (beta), runtime policy updates (alpha), sidecar proxyPython; JavaScript and Go (beta)Yes, with the gVisor runtimeNot offered
Vercel SandboxFirecracker microVM$0.128 per active CPU-hour and $0.0212/GB-h provisioned memory (iad1), plus $0.60 per 1M creationsHobby: 5 active CPU-hours, 420 GB-hours memory and 5,000 creations per monthDefault 5 min; max session 45 min (Hobby) or 24 h (Pro, Enterprise). Persistent sandboxes resume, so total lifetime is unboundedPersistent by default (state saved on stop); snapshots; Drives (beta)allow-all (default), deny-all, or user-defined domain and CIDR policy, updatable at runtime; credential brokering and request forwardingJavaScript/TypeScript, Python, CLINot mentioned in the sources usedNot offered
Cloudflare SandboxesContainers: Linux VM with its own kernel, started by a Durable Object. Dynamic Workers: V8 isolates for JS, Python and Wasm$0.000020/vCPU-s active CPU (about $0.072/vCPU-h), $0.0000025/GiB-s provisioned memory, billed per 10 ms; needs Workers Paid ($5/mo)Workers Paid includes 375 vCPU-min, 25 GiB-h memory and 200 GB-h disk per monthRuns while its Durable Object is active, then for an inactivity timeout of up to 6 hDisk is lost when the instance stops unless you snapshot it (up to 20 GB, kept 30 days) or back up to R2Containers: internet can be disabled and outbound HTTP intercepted by the Worker. Dynamic Workers: globalOutbound null blocks all@cloudflare/sandbox (TypeScript, from a Worker); SDK 0.x is legacyNot offeredNot offered
Fly.ioSprites run in Firecracker VMs on isolated networksSprites: $0.03825 per CPU-hour of actual CPU use and $0.021875 per GB-hour of actual memory (from 2026-10-01)$30 trial credit; optional plans from $20/mo (20 active Sprites) to $2,000/moPersistent; sleeps when idle (no compute billed) and wakes on request100 GB ext4 volume that survives sleep; automatic and manual checkpoints, restore in about a secondConnectors for external services without holding the secret; an egress allowlist is not documented in the sources usedJavaScript, Go, Python, Elixir, CLI, REST APINot mentioned in the sources usedNot offered
microsandboxLocal microVM (KVM on Linux, Apple Silicon on macOS; Windows also supported)Free (Apache-2.0); you pay for your own hardwaren/a (open source)You decideSnapshots, fork and volumesYour own responsibility on the hostRust, TypeScript, Python, msb CLI; MCP server and Agent SkillsNot mentioned in the sources usedSelf-hosted by design

Verdict: For a default hosted choice, E2B and Vercel Sandbox give a microVM per task with mature egress controls; E2B suits Python-first agents and pause/resume workflows, Vercel suits teams already on Vercel and bursty, low-CPU agents billed on active CPU. Pick Modal or Daytona if you need GPUs or a broad SDK set, Cloudflare if your agent already runs on Workers, Fly.io Sprites for long-lived persistent agent computers, and microsandbox when code must stay on your own machines.

How to read this table

All seven products give agent code its own machine, but they bill and behave differently enough that the cheapest-looking line is often not the cheapest bill.

Recent changes worth knowing

Picking one

Start from the constraint you can't change:

Whichever you choose, the provider only gives you the boundary. Egress policy, secrets, limits and output handling are yours to configure; the sandboxing guide walks through each one.

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