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Oz is the orchestration platform for cloud agents. Spin up unlimited parallel cloud agents on any infra - programmable, auditable, and fully steerable.
Oz extends the same platform hundreds of thousands of developers already use every day — turning ad-hoc agent work into a programmable, auditable system.
Agent conversations per day
Acceptance rate for code diffs
Active developers
From the interface you steer in to the agents that do the work — Oz wires it all together.
Drive Oz from Warp, the Oz web app, the CLI / API / SDK, or mobile — same agents, same context.
Orchestrator handles scheduling, triggers, and routing while controls, audit, and observability keep every run in check.
Run Oz agents on any model, self-hosted in your VPC or on Warp's managed Docker environments.
The cloud coding agent with orchestration built in.
Turn Agents Into Automations
Schedule agents to run like cron jobs and report back how you'd like. Oz agents are based on Skills.
Unified Control Plane With Best-in-Class Agent Steerability
Start cloud agents from the Warp app, the web, or even your phone— and track them too. Join agent sessions with one click from the CLi, web, mobile, or Warp.
Flexible Hosting
Run agents on your infra or ours.
One Agent, Multi-Repo Changes
Use Oz with your source code across repos to make sweeping, coordinated changes in one go.
Fully Programmable Agent Stack
Use the Oz CLI, SDK, and API to build with Oz.
Coordinate edits across every repo an agent touches without losing context.
Drop into the API, SDK, or CLI to shape every part of the agent loop.
Compatible with Claude Code, Codex, Gemini CLI, and the rest of the ecosystem.
Listen to a roundtable discussion with three Warp engineers (plus Ben, our DevRel).
Merged PRs were created by Oz
Oz automations running daily at Warp
Agents launched to build Warp and Oz (30-day period)
Define automations in code, check them in, and trigger runs from anywhere.
Browse every run, tail logs, and steer in-flight agents from the Oz web app.
Stay in the terminal when you want hands-on control — the same agents, the same context.
Prototype components, fix visual regressions, and ship design-system updates across every app that consumes them.
Coordinate schema, API, and UI changes in a single agent run that opens matching PRs across your services.
Automate deploys, incident response, and cloud cleanup with agents that know your infrastucture.
Spin up notebooks, rerun pipelines, and clean up datasets — OZ handles the plumbing while you focus on analysis.
Prototype components, fix visual regressions, and ship design-system updates across every app that consumes them.
Coordinate schema, API, and UI changes in a single agent run that opens matching PRs across your services.
Automate deploys, incident response, and cloud cleanup with agents that know your infrastucture.
Spin up notebooks, rerun pipelines, and clean up datasets — OZ handles the plumbing while you focus on analysis.
You've deployed Claude, Cursor, and Devin. Your team ships faster. So why are you still context-switching between 5 different agent surfaces?
Pick the path that fits how you want to try it.
