This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
PandaOS
One local AI workstation for your entire workflow.
PandaOS is a local AI workstation that brings code, terminal, browser, deployments, data, apps, and AI agents into one place. Run workflows across tools, manage multiple projects, and hot-swap AI plans without losing context.
About PandaOS on Product Hunt
“One local AI workstation for your entire workflow.”
PandaOS was submitted on Product Hunt and earned 16 upvotes and 4 comments, placing #35 on the daily leaderboard. PandaOS is a local AI workstation that brings code, terminal, browser, deployments, data, apps, and AI agents into one place. Run workflows across tools, manage multiple projects, and hot-swap AI plans without losing context.
On the analytics side, PandaOS competes within Developer Tools — topics that collectively have 521.6k followers on Product Hunt. The dashboard above tracks how PandaOS performed against the three products that launched closest to it on the same day.
Who hunted PandaOS?
PandaOS was hunted by Riccardo Destratis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of PandaOS including community comment highlights and product details, visit the product overview.


Hey Product Hunt 👋
We built PandaOS because our AI tools kept getting better, but our actual workflow didn’t.
Code in one place. Terminal somewhere else. Browser, deployments, databases, email, GitHub, another AI tool… and somehow you’re still the one carrying context between all of them.
We got tired of being the glue.
So we built PandaOS: a local AI workstation where your code, tools, apps, projects, and AI agents can live and work together.
The idea is simple: AI shouldn’t stop after writing the code. It should be able to operate the work around it too.
With PandaOS you can:
Run workflows across code, browser, deployments, databases, email, and connected apps
Manage multiple projects without constantly rebuilding context
Save reusable agent workflows for repetitive tasks
Keep persistent project knowledge locally
Connect your own AI subscriptions, API keys, and local models
Hot-swap between AI plans when one hits its session limit without starting the conversation over
One of our favorite examples starts with a bug report in an email. Panda reads it, finds and fixes the code, opens the browser to verify the fix, deploys it, and drafts the reply, all inside the same environment.
That’s the kind of workflow we think AI should be able to handle.
PandaOS is free to start, with no credit card required, and we’re still building quickly.
We’d especially love feedback from developers, founders, and builders already living across tools like Cursor, Claude Code, GitHub, Vercel, Supabase, terminals, and way too many browser tabs.
What still feels fragmented in your workflow? That’s probably the most useful thing you could tell us.
Thanks for checking out PandaOS 🐼