Warp

Warp

The platform for coding agents, locally and in the cloud.

4.8
69 reviews

2.7K followers

The best terminal for building with agents + Oz, the orchestration platform for cloud agents
This is the 5th launch from Warp. View more
Oz by Warp

Oz by Warp

Launched this week
Run hundreds of cloud agents in parallel
Oz is an orchestration platform for cloud agents. Launch hundreds of cloud agents in minutes, from Warp, CLI or even your phone. Wake up to production-ready PRs.
Oz by Warp gallery image
Oz by Warp gallery image
Oz by Warp gallery image
Oz by Warp gallery image
Oz by Warp gallery image
Oz by Warp gallery image
Oz by Warp gallery image
Free
Launch Team / Built With
Anima Playground
AI with an Eye for Design
Promoted

What do you think? …

Zach Lloyd

Hey Product Hunt 👋

Zach here - Founder and CEO at Warp. Our team is excited to launch Oz, the orchestration platform for cloud agents. 

Oz makes it easy to scale up to hundreds of cloud agents, keep tasks running when you step away from your laptop, and turn agent skills into agent automations. 

Why we built Oz and what it does

Developers today are running 3-5 local agents to fix bugs but once you try to go beyond that, things start to break down: your laptop hits capacity, you can’t see what your agents are doing, and agents start to be more trouble than they’re worth. 

Deploy agents from anywhere: From the Warp desktop app, on the web, your phone, using Warp’s SDK, or even the CLI.

Isolated cloud environments: Set up isolated cloud environments for agents to run that can index as many GitHub repositories as you want. 

Build apps on top of agents. Use CLI and API access to build bug triage systems, incident response tools, or any app that needs an agent backend.

If you're looking for a starting point, try automating something small - a recurring task that's tedious but straightforward and watch your productivity compound.

We can’t wait to see what you build and I’d be curious to hear the community’s thoughts on whether they think cloud agents are going to be the future?

Feel free to comment any questions/feedback you have below and one of our engineers will respond. ✌️

Adam Lababidi

been a Warp fan since early beta — Oz looks like a massive step up for agent orchestration. 🪄 the parallel cloud execution is a game changer for long-running dev tasks. what's the most common automation you've seen devs build on top of Oz so far? 🚀

Petra Donka

Thanks for the kind words @adam_lab 🙌

We've seen so many great things built on top of Oz, but some of the most common ones that people are starting with are around automating simple but time-consuming chores: auto-updating docs, triaging GitHub issues, running reports on a schedule. These are well-defined & understood problems that you can easily hand off to an agent to do on it's own.

And then the cool stuff is starting to show as well... OpenClaw alternatives, agents talking to each other to get stuff done, orchestrating third-party agents, and a bunch of others. Super excited to see what everyone is building and creating.

Jay Bienvenu

@adam_lab  @petradonka You have my attention at "OpenClaw alternatives." I have a major project on which I'd like to develop and deploy some AI agents, but I have had no idea how to get started. I've been looking at OpenClaw but hesitant to pull the trigger. It just seems like overkill and a security risk.

Felix Velarde

@adam_lab  @jay_bienvenu might want to take a look at https://moltbookagents.net which has a simple setup guide plus a guide to securing the agent in a self-contained NAS. Might be a quick solution

Eric Chen
@adam_lab curious what you’re thinking of building!
shreya chaurasia

Cloud agents feel inevitable. Curious how you balance flexibility with guardrails so things don’t spiral in production.

Varoon Kodithala

Super proud of the team for rethinking how we start, drive, and finish tasks with agents from first principles. Warp built the right core abstractions early on, and it's paying off! Oz to the 🌙

Curious Kitty
When you say “hundreds of agents,” what are the core primitives you built to keep that manageable (visibility, run state, approvals, budgets, retries)—and which one ended up being the real unlock versus just adding more compute?
Viktor Shumylo

Congrats on the launch! Moving agents to isolated cloud environments makes sense once local setups hit limits. How do you handle coordination and state management across hundreds of agents so tasks don’t conflict, duplicate work, or drift from the original objective when running asynchronously?

Harsh Patel

The `shell` code is not working.