AI Native, Secured
Designed for collaboration between humans, AI agents, and devices, with explicit permissions and trust built into the system.
Local-first, peer-to-peer collaboration infrastructure for humans, AI agents, and devices—with explicit permissions and trust built in.
For individuals, open-source crews, and small teams who would rather not ask permission. Nothing to sign up for, no seat to buy — bring the model you already pay for, or one running on the machine next to you.
For teams who have to answer for where work happens. Run the whole fabric inside your own perimeter, shape it to workflows you already have, and keep a defensible record of who was granted what — and what they did with it.
Designed for collaboration between humans, AI agents, and devices, with explicit permissions and trust built into the system.
Teams can coordinate actions across tools, devices, and roles without relying on screenshots, copied prompts, or improvised handoffs.
Built on a modular collaboration model that can be adapted to different workflows, trust requirements, and operational environments.
The SDK the app is built on — domain models, distributed actions, semantic threading, and the peer-to-peer transport, with encryption and MCP to be wired in.
The workbench experience, on your own devices.