Scope
PM agents create cards with problem statements, acceptance criteria, risk, and definition of done.
Local control plane for AI agent work
Admin-first project board for coordinating AI agents through scoped cards, approval gates, bounded briefs, and visible handoffs.
What it is
Relay gives a human admin the control loop that normal agent workflows miss: proposed work, explicit approval, role-gated movement, and durable context for the next agent in line.
Workflow
PM agents create cards with problem statements, acceptance criteria, risk, and definition of done.
Admins approve, request changes, reject, pause, or cancel work from a focused local board.
Developers, reviewers, and testers claim work through the CLI and receive a bounded brief.
Context layers preserve implementation notes, validation evidence, and the next role's intent.
Why it exists
Relay stays small on purpose: a local database, a deterministic domain model, a CLI that agents can drive, and a web board that keeps the admin in the loop.
Cards move from draft to approval, ready, implementation, review, QA, and done.
Agents get relevant context without rereading the entire event timeline each time.
Card activity, admin decisions, notes, and handoffs remain visible for review.
Every shell and agent on a machine can discover the same control database.
Quickstart
npm install -g git+https://github.com/ThinkOps/relay.git
relay init
relay db
relay ui