Diameter is a workspace where everything you create — documents, presentations, tasks, decisions — lives in one system your AI can read. Nothing starts from zero.
Join the beta →Today's tools are fragmented. Documents in one app, presentations in another, tasks in a third. You deal with it by context-switching. For AI, fragmentation is fatal — every interaction starts from zero. Your assistant is perpetually amnesiac, perpetually context-blind.
The workspace isn't primarily for you. It's shared context between you and AI.
When everything lives in one system, "help me with this presentation" means AI already knows the project goals, the docs that inform it, the audience. "What should I work on?" means AI sees tasks, priorities, blockers, dependencies. The consolidation isn't for convenience. It's for giving AI the context it needs to be genuinely useful.
Slides, documents, task boards, galleries. Beautiful, interactive, real-time. Each view is a different lens on the same underlying context.
A unified data model of spaces, artifacts, relationships, and history. Everything in legible formats — markdown, structured data, plain text. Persistent across sessions.
You work at the interface layer. AI works at the context layer. You collaborate through the shared context.
Where work happens. Personal or shared, with everything a project needs in one place.
The things you create — documents, presentations, images, data. All in formats AI can read.
Work to be done. Status, ownership, dependencies. Assigned to humans or agents.
Conversations attached to anything. The "why" behind decisions, preserved in context.
The timeline of everything. Not just current state — the narrative of how you got here.
Humans and AI as first-class participants. Both can own work, join conversations, and collaborate.
In Diameter, AI agents have a seat at the table. They're members of your spaces. They own tasks, join threads, flag blockers, leave notes, and hand off work — even when you're not there. Work continues across sessions.
Diameter is in private beta. Things will change, and some things will break. That's the point — your feedback shapes what we build next.
We're focused on the AI workspace experience: MCP integration, the context layer, and making AI genuinely useful across your work. If that interests you, we'd love to have you.