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Stateful execution environment for agents Tensorlake gives agents a safe place to execute — isolated MicroVM sandboxes that boot in a few hundred milliseconds, whether you need them ephemeral for one-shot tool calls or named and stateful across tasks, with memory and filesystem preserved and sub-second resume. Use them as tool-call environments, as workspaces for LLM-generated code, or as reproducible rollout environments for RL training.

Start with Sandboxes

Stateful MicroVM sandboxes for running agents, tools, and LLM-generated code. Ephemeral or named, snapshotable, suspend/resume, up to 5M per project.

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Why teams choose Tensorlake sandboxes

  • Fastest filesystem in the category. Block-based filesystem with lazy memory snapshot loading. 1.2–2.2× faster than Vercel, E2B, Modal, and Daytona on SQLite benchmarks.
  • Sub-second resume. Suspend a named sandbox between tasks and bring it back with full memory and filesystem state intact.
  • Scale to millions. Spin up hundreds per second, up to 5M sandboxes per project. Live-migrate running sandboxes during patches with only a brief interruption.

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Going further

Orchestrate

Chain sandboxed steps into durable workflows with retries, fan-out, and scale-to-zero. Pair with Sandboxes when one isolated call isn’t enough.

Agent Skills

Teach Claude Code, Codex, or any coding agent to build production workflows on Tensorlake. One install, better generated code.

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Trust and support

Tensorlake is HIPAA and SOC 2 Type II compliant, supports EU data residency, and offers zero data retention.

Slack

Chat with our engineers.

Email

support@tensorlake.ai

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Use cases and product updates.