These foundations provide the necessary scaffolding to execute complex code architectures and manage resource dependencies across distributed systems. When selecting an environment, focus on how effectively it balances memory overhead against execution speed and whether it integrates seamlessly with your existing delivery pipelines. Prioritize options that offer robust containerization support and predictable performance scaling for your specific workload requirements.

Launch hosted AI agents without managing infrastructure.

The safest, simplest way to run untrusted code.

Native C++ AI agent runtime for every major platform

Secure vault, managed MCP runtime, tool-call audit trail, and policy-based approvals. One layer between your AI agents and your tools & APIs.

The open-source runtime for running AI agents at scale

Run local LLMs with one Rust binary

Self-hosted AI agents and executable flows

Secure runtimes for AI agents, MCPs and dev teams

Instant computers in isolated environments for AI agents

Sandboxes for your AI agents