PandaOS

PandaOS is a local AI workspace for builders, founders, and operators who want to run development and business workflows from one desktop environment instead of switching between editors, terminals, browsers, and dashboards. It is currently labeled Beta on the site. Users connect their own AI keys or plans and link apps such as GitHub, Vercel, Gmail, Slack, Supabase, and Jira.

What It Is

PandaOS is a desktop-first workstation that brings code, terminals, a built-in browser, external apps, and AI agents into a single environment. Rather than answering questions in a chat tab, its agents carry out multi-step tasks across connected tools. The homepage describes a global knowledge graph for memory and system-wide context.

How the workflow runs

The site's example workflows chain several tools together. A bug report email can be read, traced to the broken code, fixed, verified in the browser on a dev server, deployed, and answered. Other examples include plain-English analytics queries that produce shareable dashboards, a competitive site audit with a scorecard, daily standup prep that updates Jira, weekly metrics digests, failed-deployment rollbacks, and release changelogs posted to Slack. Requests can be saved as reusable Automations, which run while PandaOS is open, including when it is only in the menu bar.

Model access and data handling

PandaOS uses bring-your-own keys from providers such as OpenAI, Anthropic, and Gemini, plus custom endpoints and LLMs. Hot-swap lets it switch to an alternate account or key when a session limit is reached. The site states that company data is not used for model training and that it is local-first and GDPR-ready.

Business and team use

The business page positions PandaOS as an operational layer over tools such as HubSpot, Notion, Google Workspace, Jira, Slack, PostgreSQL, BigQuery, Outlook, and Discord. Examples include turning Gmail requests into Jira tasks, generating pipeline summaries and KPI reports, and building slides from connected reports. A separate enterprise page mentions permissions, approved models, and spend limits per team.