Warning: High-velocity shipping is addictiveOne Local AI Workstation
For Your Entire Vibe Stack
PandaOS is the local AI workspace for builders who want to build faster, stay in flow, and stop juggling disconnected apps.
Your Keys
No Data Training
Desktop-First
The ProblemMost AI tools help you perform a task.
PandaOS helps you operate the work.
Modern builders still work across editors, terminals, browsers, dashboards, databases, deployment tools, email, scripts, and scattered AI apps.
Your tools don't talk to each other. So you do it for them.
Too many apps. Too many handoffs. Too much lost context.
AI helps in one tab while your workflow stays fragmented.
You ship slower because your stack keeps breaking flow.
The bottleneck is no longer writing code.
The bottleneck is operating across too many disconnected systems.
FeaturesOne place to run the work, not just generate it
PandaOS is a local AI workstation that brings your code, tools, external apps, and AI agents into one environment.
A Better Interface for Modern Work
Stop forcing terminals and scattered tabs, it's not 1989. PandaOS gives you a beautiful, intuitive environment for modern work.
Multi-Project Orchestration
Manage repos, projects, and scripts simultaneously. Switch context instantly without losing terminal, browser, or agent state.
Reusable Agent Workflows
Save the way you work so recurring tasks, repeatable flows, and agent setups run faster with less manual setup every time.
Persistent Project Memory
A local knowledge graph that learns your infra and workflows so you never have to re-explain your stack.
AI-Native Dev Environment
Code, edit, and debug with an LLM that has the full context and environment, not just the file you're looking at.
Connected App Ecosystem
Let AI work across tools like GitHub, Vercel, email, Supabase, Slack, and deploy flows, without copy-pasting between systems.
Who Is It ForBuilt for builders managing too many moving parts
PandaOS is a local AI workstation that brings your code, tools, external apps, and AI agents into one environment.
Builders
managing multiple tools, projects, and AI workflows.
Founders
Who want one place to build, test, deploy, and respond.
Developers
Using Cursor, Claude Code, or custom scripts today.
Run entire workflows. Not just tasks.
From inbox → code → deploy → report—PandaOS executes real workflows across your tools, so you can ship without switching context.
1. Bug Report Email to Deployed Fix
- Panda reads the email, finds the broken code, fixes it
- Opens the browser to verify the fix on the dev server
- Deploys and drafts a reply to the reporter confirming it's fixed
2. Analytics Query from Plain English
- Panda opens the database panel, queries the data
- Visualizes the result as a chart
- Follow up: "Now compare it to the previous 30 days"
3. Competitive Site Audit
- Panda opens both sites in the browser, screenshots them
- Analyzes UX, copy, and feature differences
- Outputs a structured comparison report
4. Dev Standup Prep
- Panda checks Git, Vercel for deploy status, and Gmail for messages
- Synthesizes everything
- Outputs a ready-to-paste standup summary
5. Weekly Metrics Digest
- Panda opens the database panel, queries the metrics
- Generates an HTML report with charts
- Opens Gmail and drafts the email with the report attached
6. Failed Deployment Fix
- Panda opens the Vercel tab, pulls the latest deployment and build logs
- Reads the error, finds the broken code, fixes it
- Opens the browser to verify the new deploy is live
7. Update the Hero and Verify It's Live
- Panda finds the hero component, updates the copy
- Opens the browser to show the change on the dev server
- Deploys to Vercel, opens the live URL to confirm
8. Release Changelog to the Team
- Panda reads git log since the last tag
- Writes a clean changelog
- Opens Gmail and drafts the email ready to send
Who It's ForJoin the builders inside PandaOS
We're opening PandaOS to a limited group of early builders who want to test a better way of working, shape the product, and get access before public launch.