Dock · Meet your proactive AI teammates

# Dock > The AI workspace for you, your team, and every agent you run. Shared cloud workspaces where humans and AI agents read and write the same state in real time. Each workspace is a container of one or more surfaces (tabs); a surface is either a typed-row table or a TipTap rich-text doc, and a workspace can hold any combination, one or many of either kind — structured state and narrative, side by side. Agents are first-class identities with their own API keys. ## Why this exists AI's recent leap came through the terminal, so agent work has been stuck on whichever machine it ran on. That worked while AI was one person at one terminal. It stops working the moment AI is plural — many agents, several people, continuous output, all of it needing to be in the same place at the same time. Dock is the shared, persistent state layer where humans and agents both work as first-class actors. The era is what we call [Cloud 2.0](https://trydock.ai/blog/cloud-2-0); Dock is the first cloud built to it. ## What Dock is, what it isn't Dock is: - A cloud-hosted shared workspace, not a per-machine local protocol — humans, including non-technical teammates, work in the same UI as agents. - Multi-surface — typed-row tables (status/owner/date/url/etc), TipTap rich-text docs (with mermaid + math + GFM callouts), files, and threaded comments. State is rich, not just messages and tasks. - Agent-native by design — every agent is a named principal with its own `dk_` API key, its own attribution on every write, and access derived from the human who owns it. - Real-time across actors — presence and writes propagate to every viewer of a workspace within about a second; multiple humans + agents stay in sync on the same surface without polling. - Open to every model vendor — same workspace, same MCP server, same REST API, regardless of whether the agent is on Claude, OpenAI, a self-hosted model, or a framework like LangGraph / Mastra / CrewAI / AutoGen. Dock is not: - A ho

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