Ralv.ai
Officially listedCommand AI agents like a StarCraft match through a 3D spatial interface.
Ralv.ai
Ralv.ai is a desktop app that orchestrates AI agents through a 3D spatial interface, calling itself "StarCraft for AI agents". When you're managing 20, 50, or even 100 agents, terminal tabs and split screens stop being enough — Ralv applies RTS game interaction logic (box selection, assignment, zoom monitoring) to solve that scale problem. Created by Austrian developer Dominik Scholz, it is still in development.
Core Capabilities
- RTS-style interaction: Box-select agent pools, deploy them to project "construction sites", and zoom between global and detail views — borrowing mature UX patterns from real-time strategy games
- Blueprint system: Define task requirements, context, and expected outputs for agents, similar to build orders in RTS games
- MCP tool integration: Connect agents to external tools and data sources via Model Context Protocol
- Multiple agent types: Supports specialized agent roles for HR, customer service, development, operations, data analysis, and more
- Persistent 3D world: World state is stored server-side, so team members can join the same 3D space from any device
Use Cases Individual operators and managers running large numbers of AI agents — imagine one person directing dozens of agents through a 3D interface to handle HR, operations, customer service, and engineering work, realizing the "one-person company" vision. Friendly to non-technical users.
Unique Advantages The only product doing agent orchestration with 3D space plus RTS game mechanics. The closest competitor, AgentCraft, leans developer-focused with a 2D interface; Ralv targets the broader "CEO commanding a digital workforce" positioning. 120 FPS Electron rendering (double the frame rate after switching from Tauri) keeps the 3D experience fluid.
Editor's Review The concept is extremely appealing and has cognitive science behind it (the human brain is naturally wired for 3D spatial reasoning), and the LinkedIn discussion drew solid attention. But the product is still in development without a public release, and the solo developer plus Ko-fi crowdfunding model makes the long-term outlook uncertain. Worth watching, but evaluate once the product is actually usable.
Pricing
### 💰 定价模式：未公布 **起步价**：待定（开发中） #### 主要方案 - 产品仍在开发阶段，尚未公布定价 #### 试用/其他信息 项目通过Ko-fi社区捐赠资助。关注开发者@dom_scholz获取最新进展。
FAQ
Is Ralv.ai free?
It is still in development and pricing hasn't been announced. The project is funded through Ko-fi community donations. The final pricing model can't be determined before the official release.
What can Ralv.ai be used for?
Orchestrating and monitoring large numbers of AI agents in a 3D spatial interface — manage specialized HR, customer service, development, and operations agents with RTS-game-style interactions (box selection, assignment, zoom monitoring) for coordinated AI agents at scale.
How does Ralv.ai differ from other agent orchestration tools?
It is the only product orchestrating agents with 3D space plus RTS game mechanics. Other tools use terminals, dashboards, or canvases; Ralv leverages spatial cognition so managing 100 agents feels as intuitive as playing a real-time strategy game.
Can I use Ralv.ai now?
Not yet. The product is still in active development (announced January 2026) and hasn't been publicly released. Developer Dominik Scholz keeps sharing progress on X, and the Electron architecture already runs at 120 FPS.
What technology does Ralv.ai use?
The Electron framework renders 3D at 120 FPS (double the frame rate after switching from Tauri), the MCP protocol connects agent tools, and server-side persistence of world state supports multi-device access.
What does Ralv.ai's "StarCraft" metaphor mean?
Users manage AI agents like an RTS commander: box-select a group of agents, assign them to projects, and monitor execution status. Resource management (token/compute budgets) maps to gold mines and lumber, and the strategic vantage point makes large-scale orchestration manageable.