tensorlakeai/tensorlake

What it solves

Building AI agents often requires a secure way to execute untrusted, LLM-generated code or tools without risking the host infrastructure. Tensorlake provides a secure, scalable compute platform specifically designed to handle these isolated execution environments and the orchestration of complex agentic workflows.

How it works

The platform uses Firecracker MicroVMs to create isolated, stateful sandboxes that can be spun up in under a second. These sandboxes offer high-performance filesystem I/O and support advanced features like snapshots, cloning, and live migration. For complex workflows, it provides a serverless orchestration runtime that allows developers to define applications and functions that scale automatically with fan-out capabilities.

Who it’s for

• AI Agent Developers who need secure, isolated environments to run agent tools or code interpreters.
• Software Engineers building scalable, agentic applications that require distributed orchestration and high-performance execution.
• Developers needing to checkpoint and resume long-running agent processes using VM snapshots.

Highlights

• High-performance sandboxes using Firecracker MicroVMs with near-SSD filesystem speeds.
• Stateful execution featuring snapshots, cloning, and auto-suspend/resume capabilities.
• Serverless orchestration with automatic scaling and fan-out for complex agent workflows.
• Massive scalability supporting up to 5 million sandboxes per project.