superserve vs tensorlake
Persistent, secure sandboxes for AI agents on Firecracker microVMs — TypeScript and Python SDKs, CLI and console; the runtime is a hosted service, the SDK stack is Apache-2.0. — versus — Serverless platform for agent sandboxes: stateful Firecracker microVMs with snapshots, cloning, auto suspend/resume and network policy, plus fan-out orchestration functions. Python SDK and CLI.
Both sell persistent Firecracker microVM sandboxes for agents with an open SDK over a hosted runtime; Tensorlake adds snapshots and cloning, live migration and a serverless fan-out layer.
| superserve | tensorlake | |
|---|---|---|
| Stars | 464 | 1.0k |
| Forks | 54 | 148 |
| Language | TypeScript | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last activity | yesterday | today |
| Topics | sandboxes, agents | sandboxes, agents |
| Curated connections | 5 | 4 |
superserve — the curator's take
The pitch is persistence: sandboxes that survive between agent runs instead of being disposable, on Firecracker isolation. Know what the repo is before starring: this is the SDK/CLI/console monorepo — the actual sandbox runtime lives behind the hosted service at superserve.ai, and the README is a contributor doc, not a product doc (the substance is at docs.superserve.ai). Use it when you want managed microVM sandboxes with a clean SDK and don't want to run KVM hosts; NOT for air-gapped or self-hosted requirements — that's CubeSandbox's territory. Young project, small community — evaluate the service's durability before building on it.
tensorlake — the curator's take
Pick Tensorlake when you want hosted sandboxes that behave like real machines: stateful Firecracker VMs that suspend when idle and resume with memory intact, snapshot and clone mid-run, live-migrate, and take per-sandbox egress allowlists, plus a serverless function runtime to fan out agent work with each function in its own sandbox. This repo is the SDK and CLI; the runtime is Tensorlake Cloud, so it is an API key, not something you self-host. The filesystem benchmark against E2B, Modal and Daytona is their own. Need it on your own hardware? cubesandbox or agent-sandbox. Running one agent's code locally? A container may be enough.