What is DedalusLabs.ai?

Dedalus Labs provides persistent full Linux machines with VM-level kernel, memory and filesystem isolation for running untrusted or long-running agents.Machines boot in under 250 ms and preserve filesystem state, memory, environment variables and background processes across sessions to minimize cold starts.

Access via CLI, API and SSH supports standard runtimes (Python, Node, Rust, Go, Java, Ruby), package managers (apt, pip, npm, cargo) and Docker-based workflows.Target users include developers, ML engineers, SREs and CI/CD teams needing reproducible development, testing and long-running agent workloads.

Use cases include model training, web scraping, CI pipelines, code generation sandboxes and persistent agent orchestration.Configuration options expose vCPU, memory and storage controls while maintaining VM-level isolation for process and filesystem separation.

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DedalusLabs.ai's key features

Persistent full Linux machines for running untrusted or long-running agents
VM-level kernel, memory, and filesystem isolation for process and filesystem separation
Stateful session persistence preserving filesystem state, memory, environment variables, and background processes
Access via CLI, API, and SSH; supports standard runtimes (Python, Node, Rust, Go, Java, Ruby), package managers (apt, pip, npm, cargo), and Docker workflows
Configurable vCPU, memory, and storage controls

DedalusLabs.ai use cases

Create reproducible development environments with Dedalus Labs by provisioning persistent, fast-boot Linux VMs that preserve installed dependencies and workspace state across sessions and offer CLI/API/SSH access for consistent local-to-cloud workflows
Host long-running agents and model workloads on Dedalus Labs' persistent VMs to train or serve models with preserved runtime state, sub-250ms boot for quick restarts, and reliable VM-level isolation for uninterrupted background processing
Securely run untrusted CI jobs, third-party tests, or fuzzing campaigns in Dedalus Labs VM-isolated sandboxes that provide kernel, memory and filesystem isolation, snapshotable state, and API integration for automated, reproducible pipelines