Dedalus Labs
Fast persistent Linux machines for long-running AI agents
Dedalus gives AI agents isolated Linux machines with persistent filesystems and memory. Machines start quickly, can sleep between tasks, and are controllable through an HTTP API, CLI, and TypeScript, Python, or Go SDKs for long-running coding and automation workloads.
Best for agent capabilities
Useful in agent tasks
Overview
When to use Dedalus Labs
Dedalus Labs is listed for Sandbox, Code Execution, Hosting workflows. Dedalus gives AI agents isolated Linux machines with persistent filesystems and memory. Machines start quickly, can sleep between tasks, and are controllable through an HTTP API, CLI, and TypeScript, Python, or Go SDKs for long-running coding and automation workloads. Consider it when an agent needs this capability through a documented service boundary instead of custom infrastructure maintained inside the application.
In 4agent's task model, the product maps to code execution, deployment. That makes it a candidate for workflows that build and deploy software, operate production agents.
Integration checklist
- Access: confirm the api key authentication flow, credential scope, rotation process, and whether calls can be attributed to a user or service identity.
- Client support: official or documented clients are listed for typescript, python, go.
- Automation: OpenAPI is not currently recorded, MCP is not currently recorded, and CLI support is listed as available. Confirm each requirement in the provider's current documentation.
- Operations: test rate limits, timeouts, retry safety, error payloads, logs, data retention, and the current free-tier and paid pricing model with production-like volume.
Sources and verification
Use these primary sources to verify current behavior before making an implementation or purchasing decision. Product capabilities, limits, and prices can change after a 4agent listing is reviewed.