boxkiteDifferent centers of gravity, not really the same category.
Modal is a hosted, GPU-capable serverless compute platform — broad enough to run ML training, batch inference, and general Python workloads at scale. boxkite is narrower and self-hosted: a Kubernetes-native sandbox built specifically for one agent's tool calls, running on infrastructure you control.
A narrower comparison than E2B or Daytona
boxkite doesn't have a deep, sourced feature-gap analysis against Modal the way it does for E2B and Daytona — this page is intentionally lighter and more general. Modal's own docs are the authority on its actual feature set; treat the rows below as positioning, not an exhaustive audit.
| boxkite | Modal | |
|---|---|---|
| Self-hostable | Yes — your own K8s cluster | No — hosted-first serverless |
| Primary workload shape | One agent, one session, fixed tool surface | Serverless functions at scale — training, batch, pipelines |
| GPU support | No — CPU-only | Yes — core to Modal's positioning |
| Data residency | Stays in your own infra | Runs on Modal's cloud — see their docs |
| Agent tool surface out of the box | 15 tools + framework adapters (LangChain, LlamaIndex, etc.) | Not the focus — you'd wire this yourself |
| Network isolation model | Network-dark by default, no egress unless configured | See vendor — not the axis Modal foregrounds |
| Vendor lock-in | None — you own the stack | Hosted dependency |
In the same latency class, minus someone else's cloud
Modal runs on gVisor and claims ~1s (boots in about one second) (modal.com ↗). boxkite's warm session start of ~0.9s p50 / ~1.3s p95, measured against our own API, sits right in that same class — with in-sandbox ops around ~0.4s. The two aren't a clean head-to-head — Modal is general GPU/CPU compute, boxkite is a narrow agent sandbox — but on the latency that matters for a tool call, boxkite is competitive while running entirely on your own cluster, MIT-licensed, with no per-second billing.
Warm session start
~0.9s p50 / ~1.3s p95
p50 877 ms · p95 1289 ms · n=10
In-sandbox exec
~0.4s
p50 419 ms · p95 509 ms · n=12
File operations
~0.4s
create/view/str_replace/grep, all ~0.4s p50 · n=6
boxkite figures measured against our hosted API on 2026-07-21; sample size shown per metric, client-side wall-clock, cluster warm and image cached. Modal's ~1s (boots in about one second) is its own published cold-start claim under its own methodology, not a head-to-head reproduction. Methodology: /blog/measuring-session-start-latency.
Modal is general compute at scale — boxkite is a narrow, self-hosted sandbox for one agent's tool calls.
Reach for Modal for GPU workloads, large-scale batch jobs, or general serverless Python you don't want to operate infrastructure for. Reach for boxkite when the job is specifically "give an AI agent a safe place to run bash/python/file operations," and compliance or data residency means that place has to be your own Kubernetes cluster, with a bash/python/file/process tool surface ready on day one.
Two ways to run boxkite — same code
Both paths run identical control-plane/ code — pick the operational model that fits.
Self-host
The OSS repo, your cluster
docker compose for kicking the tires, or real Kubernetes for production — full control over the isolation model, data never leaves your cluster.
Hosted API
The beta control-plane
Try boxkite without standing up Kubernetes yourself — fair-use free tier, 20 sandbox-hours/month, 2 concurrent sandboxes, no billing yet.
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