The 3D interface to run parallel AI agents
A spatial interface to visually manage agents working in parallel. See what agents are working on in real-time and merge their changes.
The Problem
Lists suck when agents work in parallel.
Cursor, Claude Code, Codex, every agent tool today uses a 1-dimensional list to manage agents. That works well for one or two, but gets confusing as we use better and more capable agents in parallel.
The Question
How do you give a human intuitive control over many things at once?
The same answer game studios spent billions of dollars researching and perfecting. A 3D canvas with zooming, panning, and details-on-demand: the visualization primitives behind real-time strategy games, applied to AI agents.
Download
Get the Ralv alpha for macOS.
The current release supports Apple Silicon Macs.
FAQ
Common questions.
Why a spatial interface?
Because parallel agent work needs persistent state, prioritization, and fast recognition. Spatial canvases scale well with parallel agents: game studios proved this decades ago.
How does this compare to Cursor or Claude Code?
They're built around chat windows and file lists. That's fine for one agent at a time. Ralv is the interface for the one-agent-per-task future. You can also use existing Claude Code or Codex subscriptions with Ralv.
Who is this for first?
The alpha is for developers running multiple coding agents. The interaction model generalizes to every knowledge worker who will orchestrate agents next.