Paid tool

Dedalus Labs

Fastest persistent Linux sandboxes for AI agents with sub-50ms boot times.

Visitdedaluslabs.ai
Intro

What is Dedalus Labs?

Dedalus Labs is an innovative infrastructure platform backed by Y Combinator that builds the fastest persistent sandboxes for AI agents. Often searched under variations like daedalus ai or daedalus labs, the platform provides full Linux virtual machines that boot in less than 50 milliseconds. But what does dedalus labs do exactly? It delivers secure, isolated execution environments featuring full kernel, memory, and filesystem persistence across sessions. Whether managing a dedalus container or utilizing their dedicated cloud VMs, developers can build, deploy, and scale production-grade AI agents that only bill for active compute time, sleep when idle, and preserve their complete state.

Dedalus Labs at a glance
Starts with $20 free credits, pay-as-you-go per-second billing19K monthly visitsPaid access
Pricing

Dedalus Labs Pricing Plans

Compare Dedalus Labs free options, Dedalus Labs paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Starts with $20 free credits, pay-as-you-go per-second billing

$63.62 per month

Estimated cost based on 4 vCPU cores, 8 GB Memory, 50 GB Storage, with 200 active hours and 544 idle hours (savings of ~60% over competitors).

Pricing updated:Jun 12, 2026

Features

Dedalus Labs AI Features

Sub-50ms cold starts with instant 12ms snapshot restorationFull Linux environments with root access, GPU/CUDA support, and Docker capabilityPersistent memory and POSIX filesystem state preserved across sessionsScale-to-zero infrastructure with automated sleep/wake statesPer-second billing with no idle charges for sleeping machinesStrong VM-level hardware and kernel isolation for untrusted code execution
Pros & Cons

Dedalus Labs Pros and Cons

Pros

  • Blazing fast sub-second startup compared to traditional sandboxes
  • Retains background processes, environment variables, and installed packages during hibernation
  • Maximum flexibility allowing any package installations (apt, pip, npm, cargo)
  • Highly cost-effective billing model with up to 60% savings compared to ephemeral sandboxes

Limitations

  • Currently requires CLI/terminal familiarity for primary setup and management
  • Advanced features like custom GPU scaling may require higher-tier configurations

Dedalus Labs FAQ

A dedalus container or machine utilizes secure VM-level and hardware-level isolation. Unlike Docker or V8 isolates, it provides full kernel, memory, and filesystem boundaries, making it completely safe for executing untrusted AI code.