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Deploying agentic applications is 10x harder than deploying web apps. Agents run for minutes to hours, call multiple APIs, generate and execute code, and need to recover from failures without starting over. Traditional cloud infrastructure wasn’t built for this. Tensorlake’s Agentic Runtime provides serverless compute, durable execution, sandboxed code execution, and built-in observability to ship high-throughput AI agents without the infrastructure complexity.

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Get Started in 3 Minutes

Quick Start Guide

Deploy your first agent in under 5 minutes with our step-by-step guide.

Tensorlake Dashboard

Monitor deployments, view logs, and manage your applications.

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Why Tensorlake?

Agents start simple — a for loop, an LLM call, some I/O. It runs on a laptop and does exactly what you need. Then someone asks “Can we make this an API that five teams hit concurrently?” Suddenly you’re stitching together queues, worker pools, orchestration engines, and map-reduce infrastructure. Three functions and a for loop become a distributed systems project. Tensorlake eliminates that rewrite. You get a SDK that is distributed by default, automatically scales, and resumes from crashes:

Instant HTTP Endpoints

Every application is automatically deployed as an HTTP endpoint — no API gateway configuration needed.

Automatic Scaling

Scales from zero to thousands of concurrent requests. No queues, worker pools, or orchestrator configuration.

Durable Execution

Automatic checkpointing. Long-running agents resume from failures without restarting from scratch.

Sandboxed Containers

Every function runs in an isolated container with its own dependencies, compute, and security policies.

Built-in Observability

Automatic tracing, structured logging, and execution timelines for every request.

Framework Agnostic

Bring OpenAI Agents SDK, LangGraph, Claude SDK, or plain Python. Tensorlake runs your agents — it doesn’t replace them.

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Examples

Deep Research Agent

Multi-agent research pipeline with parallel web search and report synthesis using OpenAI Agents SDK.

Code Interpreter

Execute LLM-generated code safely in isolated containers with data science libraries.

Agent with Tool Calling

Claude agentic loop that chains tool calls, each running in its own isolated container.

Personal Finance Manager

Parse bank statements, categorize transactions, and answer spending questions with Claude.

Web Scraper

Serverless web crawler that scrapes websites N levels deep using headless Chrome.

Weather Agent

Conversational weather agent powered by Claude, deployed as an HTTP API.

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Next Steps

Deploy Your First Agent

Follow our quick start guide to build and deploy a serverless agentic code interpreter in under 5 minutes.