Raccoon AI

Raccoon AI is a collaborative agent that runs each job in its own cloud workspace, building apps, slides, documents and analyses from plain-language requests, with 50+ connectors, reusable skills, memory and one-click publishing.

Raccoon AI is a general-purpose agent that turns a plain-language request into finished work: web apps, slide decks, documents, dashboards, designs, research briefs and workflow automations. Instead of returning a single chat reply, it starts its own cloud computer for each job and operates inside it, with files, a live app preview, an embedded database and an image canvas available as part of the workspace. The working pattern is built around visibility. A request can be typed, spoken, sketched or supplied as files and screenshots, and the agent then lays out a live checklist of steps before it begins. Reasoning, searches and actions are shown as they happen, and the user can interrupt at any point: point at an element on the page, send a note, or change direction without restarting. Sessions can be rewound to an earlier message or forked to try a different path, and larger jobs can be split among helper agents that run in parallel and report back. Research output includes citations. Context comes from connected accounts and saved knowledge. The homepage lists more than 50 connectors, among them Gmail, Drive, Calendar, GitHub, Slack, Notion, Figma, Stripe, Supabase and Salesforce, so the agent can act inside real accounts, for example pulling invoices from an inbox. Skills let users teach a repeatable workflow such as a brand voice or launch checklist, and memory carries preferences between sessions. Finished work can be published to a live link or deployed to a custom domain, and the workspace persists when the user returns days later. The audience is broad: founders, marketers, analysts and builders who want one agent instead of separate tools for slides, code and research. Compared with narrower app builders or chat assistants, Raccoon AI trades specialization for range, so output quality on any single task type is worth testing before relying on it. The site reports use by more than 40,000 professionals and builders, and a launch discount is advertised on paid plans.