Collaborate in the Future

Local-first, peer-to-peer collaboration infrastructure for humans, AI agents, and devices—with explicit permissions and trust built in.

Real Collab,
in Motion

you  
  • June Designer
    • design system
    • figma frames
  • Hua Frontend
    • web app
    • components
  • Steve Backend
    • API
    • migrations
  • Andrea Engineer
    • codebase
    • deploys
your agent

awaiting next motivation…

how it works

From hello
to handoff

01 start

Start a conversation

Open a context and talk to your agent in plain language. Everything lives on your own node, local-first, from the very first word.

Conversation view — your message and your agent replying
02 connect

Trust a node

Add a peer — a teammate, a device, or another agent — and open a direct, end-to-end encrypted connection. No server sits in the middle.

Adding a peer node and confirming a trusted, encrypted connection
03 equip

Add & grant actions

Bring in skills, MCP servers, and native actions. Each capability becomes something your agent — or a trusted peer — can run.

Adding a skill / MCP server to the action catalog
04 collaborate

Collaborate

Your agent engages the right peers, runs the actions they have been granted, and carries the work forward — while you stay in the loop.

Agent delegating a task to a peer and running a granted action

A Solid
Next-Gen
Collaboration
Infrastructure

  • End-to-End Encryption for Actions
  • Distributed Service
  • Local-First Agentic Workflow
  • Grants Stored Locally

AI Native, Secured

Designed for collaboration between humans, AI agents, and devices, with explicit permissions and trust built into the system.

  • MCPs/Skills/Native Actions
  • Context as Knowledge Base
  • WebRTC for Communication

Real Collab, Not Shared Chat

Teams can coordinate actions across tools, devices, and roles without relying on screenshots, copied prompts, or improvised handoffs.

  • Bring Your Own Model
  • KeepTalking SDK
  • Modular Identity Service

Flexibly Elegant

Built on a modular collaboration model that can be adapted to different workflows, trust requirements, and operational environments.