One Local AI Workstation for Your Vibe Stack | PandaOS<br>LoginGet Early AccessEarly Access

Your whole stack.<br>One workstation.<br>PandaOS is the local AI workspace for builders who want to build faster, stay in flow, and stop juggling disconnected apps.<br>Get Early Access<br>Your KeysNo Data TrainingDesktop-First

The hard part isn't the code. It's everything around it.

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. Lost context .

AI helps in one tab while your workflow stays fragmented .

You ship slower because your stack keeps breaking flow .

Primary Job<br>PandaOSWork Orchestration<br>AI App BuildersApp Generation<br>AI Coding EditorsCode Assistant<br>Terminal AgentsCoding Tasks Execution

The Surface<br>PandaOSVisual Workstation<br>AI App BuildersChat/Prompt Flow<br>AI Coding EditorsCode Editor<br>Terminal AgentsCLI / Terminal

Context<br>PandaOSSystem-Wide<br>AI App BuildersSandbox Only<br>AI Coding EditorsFolder-Level<br>Terminal AgentsSession-Level

Memory<br>PandaOSGlobal Knowledge Graph<br>AI App BuildersNone<br>AI Coding EditorsVector Search (RAG)<br>Terminal AgentsSession-Based

Best For<br>PandaOSOperating the Workflow<br>AI App BuildersRapid Prototypes<br>AI Coding EditorsWriting Code<br>Terminal AgentsAgentic Coding

PandaOS<br>AI App Builders<br>AI Coding Editors<br>Terminal Agents<br>Primary Job<br>Work Orchestration<br>App Generation<br>Code Assistant<br>Coding Tasks Execution<br>The Surface<br>Visual Workstation<br>Chat/Prompt Flow<br>Code Editor<br>CLI / Terminal<br>Context<br>System-Wide<br>Sandbox Only<br>Folder-Level<br>Session-Level<br>Memory<br>Global Knowledge Graph<br>None<br>Vector Search (RAG)<br>Session-Based<br>Best For<br>Operating the Workflow<br>Rapid Prototypes<br>Writing Code<br>Agentic Coding

Everything in one place.

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<br>Stop forcing terminals and scattered tabs, it's not 1989. PandaOS gives you a beautiful, intuitive environment for modern work.

Multi-Project Orchestration<br>Manage repos, projects, and scripts simultaneously. Switch context instantly without losing terminal, browser, or agent state.

Reusable Agent Workflows<br>Save the way you work so recurring tasks, repeatable flows, and agent setups run faster with less manual setup every time.

Persistent Project Memory<br>A local knowledge graph that learns your infra and workflows so you never have to re-explain your stack.

AI-Native Dev Environment<br>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<br>Let AI work across tools like GitHub, Vercel, email, Supabase, Slack, and deploy flows, without copy-pasting between systems.

For builders juggling too much.

Founders, developers, and operators running more tools than any one person can keep in their head.

Builders<br>managing multiple tools, projects, and AI workflows.

Founders<br>Who want one place to build, test, deploy, and respond.

Developers<br>Using Cursor, Claude Code, or custom scripts today.

Real workflows, start to finish.<br>From inbox → code → deploy → report—PandaOS executes real workflows across your tools, so you can ship without switching context.

Bug Report Email to Deployed Fix<br>1Panda reads the email, finds the broken code, fixes it<br>2Opens the browser to verify the fix on the dev server<br>3Deploys and drafts a reply to the reporter confirming it's fixed

Analytics Query from Plain English<br>1Panda opens the database panel, queries the data<br>2Visualizes the result as a chart<br>3Follow up: "Now compare it to the previous 30 days"

Competitive Site Audit<br>1Panda opens both sites in the browser, screenshots them<br>2Analyzes UX, copy, and feature differences<br>3Outputs a structured comparison report

Dev Standup Prep<br>1Panda checks Git, Vercel for deploy status, and Gmail for messages<br>2Synthesizes everything<br>3Outputs a ready-to-paste standup summary

Weekly Metrics Digest<br>1Panda opens the database panel, queries the metrics<br>2Generates an HTML report with charts<br>3Opens Gmail and drafts the email with the report attached

Failed Deployment Fix<br>1Panda opens the Vercel tab, pulls the latest deployment and build logs<br>2Reads the error, finds the broken code, fixes it<br>3Opens the browser to verify the new deploy is live

Update the Hero and Verify It's Live<br>1Panda finds the hero component, updates the copy<br>2Opens the browser to show the change on the dev server<br>3Deploys to Vercel, opens the live URL to confirm

Release Changelog to the Team<br>1Panda reads git log since the last tag<br>2Writes a clean changelog<br>3Opens Gmail and drafts the email ready to send

Join the early group.

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.

Get Early Access