Ralv Alpha
3D interface for orchestrating AI agents
Ralv Alpha launched on May 9, 2026 with 13 votes, #1,061 of 20,538 launches that month and more than 90% of that year's launches.
What it does
Ralv is the command center for AI agents. A spatial interface where you manage dozens of agents working in parallel, just like in a real-time strategy game.
A spatial command center for orchestrating AI agents across projects, tasks, and workflows.
A spatial interface to visually manage agents working in parallel. See what agents are working on in real-time and merge their changes. 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 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. Because parallel agent work needs persistent state, prioritization, and fast recognition. Spatial canvases scale well with parallel…from ralv.ai
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Agent-desktop – Native desktop automation CLI for AI agentsMay 2026 · github.com · ▲99I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…


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