Secure cloud development environments where AI agents can execute code, access repositories and tools, preserve state, and scale across isolated microVMs.

An evaluation and training platform for running public or custom agent benchmarks at scale, defining scorers, comparing results, and detecting regressions.

Persistent distributed event streams for coordinating remote agents, recording interactions, recovering state, and supporting real-time multi-client or turn-based workflows.

An engineering operations platform for launching, coordinating, monitoring, and governing background AI agents across repositories, Slack, GitHub, Linear, and automated triggers.