

Oz is an orchestration platform specifically designed for managing cloud agents at scale. Its main purpose is to enable developers to deploy unlimited parallel cloud coding agents that are programmable, auditable, and fully steerable, facilitating efficient coordination and execution of automated tasks.
Key features include the ability to program custom agent automations, tag agents in Slack messages, scale coding agents beyond local machines, and start agents from mobile devices. Users can transform Skills into automated workflows and schedule agents to run periodically like cron jobs with customizable reporting. Additional capabilities feature a unified control plane for starting agents from the Warp app, web, or phone, with tracking and session joining via CLI, web, mobile, or Warp, flexible hosting on user infrastructure or the platform's infrastructure, support for multi-repo changes with a single agent, and full programmability through CLI, SDK, and API.
The platform works by deploying agents through triggers such as cron schedules, webhooks, or API calls, ensuring automatic tracking and auditability. Its unique approach includes compatibility with multiple AI models like Claude, Codex, and Gemini, and adherence to industry standards such as Skills for seamless integration.
Benefits demonstrated include a 97% acceptance rate for code diffs and handling over 350,000 agent conversations daily. Use cases span frontend development for accessibility audits, fullstack engineering for cross-repository fixes, DevOps for alert monitoring with tools like Sentry, and data science for insights generation using BigQuery and Slack reporting.
Target users are developers and engineering teams, including software engineers, product engineers, data scientists, and DevOps professionals. Integrations support GitHub, Slack, BigQuery, and other tools, with technical details including multi-model AI support and usage by over 700,000 active developers.
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Oz is targeted at developers and engineering teams, including software engineers, product engineers, data scientists, and DevOps professionals. It is designed for those who need to automate coding tasks, manage cloud agents at scale, and integrate with tools like GitHub, Slack, and BigQuery. The platform suits organizations seeking to enhance productivity through AI-driven automations and collaborative agent management.