Tensorlake

Tensorlake is a sandbox-native cloud for AI agents that runs untrusted or LLM-generated code in isolated microVM sandboxes, with durable execution and remote development.

AI Agent Development AI Developer Tools Programming Agent

Visit Website

Overview

Tensorlake is a sandbox-native cloud for AI agents and other long-running automation workflows. It runs code in isolated Firecracker microVM sandboxes so agents can execute tools, manipulate files, and keep state across pauses instead of relying on an always-on app server.

The product is organized around durable agentic loops, sandbox lifecycle controls, and orchestration primitives. The home page highlights suspend, resume, snapshot, and copy workflows, while the pricing page shows a path from a free tier to On-Demand, Pro, and Enterprise plans.

Features

Isolated sandbox execution

Run untrusted or LLM-generated code inside isolated Firecracker microVM sandboxes rather than sharing the host application runtime.

Suspend and resume state

Pause a sandbox on idle and resume it later in the same state, with memory, processes, and filesystem preserved.

Fork and copy live sandboxes

Clone a running sandbox so its memory and filesystem are copied whole, which is useful for fanning out identical environments.

Orchestration layer

Expose sandbox-backed workflows as applications with endpoints, durability, fan-out, retries, and observability on top of execution.

Remote development access

Connect to named sandboxes over SSH or open them in VS Code, Cursor, or JetBrains Gateway for remote development.

Usage-based scaling options

Scale from single sessions to many concurrent sandboxes, with pricing tiers and documented support for production usage and enterprise deployment.

Use Cases

Safe tool execution for agents
Run agent tool calls or generated shell commands in an isolated environment so the host app server does not need to execute untrusted code directly.
Durable multi-step agent loops
Keep long-running agent workflows alive across pauses, then resume them later in the same filesystem and process state.
Parallel rollouts and repeated jobs
Clone a warmed sandbox to reuse dependencies, data, or seed state across many parallel jobs such as evaluations or CI runs.
Production agent services
Expose a sandbox-backed workflow as an application endpoint with retries, queues, timers, and observability for production use.
Remote development in a portable workspace
Work on the same sandbox from a laptop or remote editor, using SSH or IDE remote access instead of local setup.

Pros and Cons

Pros

Supports isolated execution for untrusted or LLM-generated code.
Keeps sandbox state across pauses with suspend, resume, and snapshot workflows.
Can clone running sandboxes for parallel jobs and repeated environments.
Offers remote access patterns for development as well as execution.
Has documented pricing tiers spanning free, self-serve, production, and enterprise use.

Cons

The source does not provide a full public documentation set for every low-level runtime and isolation detail.
Some integration and language support details are shown only partially on the home page, so the full developer workflow is not completely specified here.
Pricing is currently presented with a note that sandboxes are free for now and metered billing will turn on later, which may change the purchase flow.

FAQ

What is Tensorlake used for?

Tensorlake is a sandbox-native cloud for AI agents. It provides isolated sandboxes for running untrusted or LLM-generated code, along with stateful execution features such as snapshot, suspend, resume, and fork.

Does Tensorlake have a free tier or paid plans?

The pricing page shows a Free tier, On-Demand usage, Pro, and Enterprise. Free starts at $0 with limited concurrent sandboxes, while Pro and Enterprise add higher limits and production-oriented options.

What kinds of workflows fit Tensorlake best?

The home page presents Tensorlake as a cloud for sandbox execution and orchestration, and the blog shows it being used for evaluation runtimes and managed agent workflows. The platform also supports remote development access over SSH, VS Code, Cursor, or JetBrains Gateway.

Can a sandbox be paused and resumed later?

Tensorlake documents sandbox suspend and resume on its home page and notes that state survives across sessions. The pricing page also says snapshot and resume are included in Pro.

How do I contact Tensorlake with pricing or enterprise questions?

The pricing page says to email support@tensorlake.ai for questions, with a founder replying, and Enterprise conversations go through sales contact paths on the pricing page.