What is PandaOS
An AI workstation that works on your real files and accounts, not a chat window you paste into.
Nothing leaves your machine unless you connect it
Your files, project history and preferences stay on disk. An external service is reached only once you have connected it.
Where it works
PandaOS runs on your machine, and you point it at a project folder, so it reads your files directly instead of being told about them. Connect the tools you already use, Gmail, Google Drive, Supabase, Vercel and twenty more, and it acts on them in the same conversation.
What one conversation can do
- Open a codebase, change a component, start the dev server and preview the result.
- Read a week of mail, then draft replies from a document in Drive.
- Query a database, chart the answer and share it.
Pick a use case on the Learning Center home to watch one done end to end.
Core principles
- Local-first. PandaOS runs on your machine. Your files, project history, and preferences stay on disk, not in someone else's cloud. Nothing leaves your computer unless you explicitly connect an external service.
- Connected, not siloed. Gmail, Google Drive, Supabase, Vercel, Trello, and 20+ other apps plug in as first-class integrations. PandaOS doesn't just read from them; it can send emails, run database queries, trigger deployments, and more, all from a single conversation.
- Adapts to how you work. Rules teach PandaOS your conventions. Skills give it reusable capabilities. Agents handle multi-step workflows autonomously. The more you configure, the less you repeat yourself.
- Model-flexible. PandaOS is not locked to a single AI provider. Switch between models and harnesses freely, and your projects, rules, and connected apps carry over.
What it looks like in practice
A few real examples of what a single PandaOS conversation can do:
- Open a codebase, refactor a component, start the dev server, and preview the result, all without leaving the chat.
- Summarize the last week of emails from Gmail, then draft replies based on a document in Google Drive.
- Query a Supabase database, build a chart from the results as an Artifact, and share it.
- Read a folder of research PDFs, extract key findings, and generate a slide deck.
The common thread: PandaOS combines understanding (reading your files and data) with action (writing, sending, deploying) in one place.