

Oz is the orchestration platform for cloud agents designed to spin up unlimited parallel cloud coding agents that are programmable, auditable, and fully steerable. The platform serves as a programmable agent stack for running and coordinating cloud agents at scale.
Oz enables users to deploy agents with cron, webhooks, or API triggers and provides auto-tracked, auditable, collaborative functionality. Key features include scheduling agents to run like cron jobs, unified control plane with best-in-class agent steerability, flexible hosting options (run agents on your infrastructure or theirs), multi-repo changes capability, and a fully programmable agent stack with CLI, SDK, and API access.
The platform supports multi-model compatibility with AI coding tools including Claude, Codex, and Gemini, and works with industry standards like Skills for quick onboarding. Oz agents are based on Skills and can be turned into automations that report back results as configured.
Benefits include the ability to scale coding agents off your laptop, launch hundreds of cloud agents in minutes from Warp, CLI or mobile devices, and work with source code across repositories to make sweeping, coordinated changes in one go. Use cases include building code, grooming docs, generating production-ready PRs, and running multiple repositories simultaneously.
Target users include developers and engineering teams, with specific examples showing usage by frontend engineers, fullstack developers, DevOps professionals, and data scientists. The platform integrates with GitHub, Slack, and supports various deployment methods including web, mobile, and CLI interfaces.
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Oz targets developers and engineering teams including frontend engineers, fullstack developers, DevOps professionals, and data scientists. The platform is designed for organizations with 700K+ active developers who need to automate coding workflows, scale agents beyond local machines, and coordinate changes across multiple repositories. It serves teams requiring programmable, auditable cloud agents for tasks like PR generation, code fixes, documentation maintenance, and automated monitoring systems.