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HIVEMIND — Swarm Debugger

TypeScriptReactViteWeb WorkersPhysics Engine
SourceLive demo
Screenshot of the HIVEMIND swarm simulation with controls and live metrics

Overview

HIVEMIND is an advanced visual analytics platform for observing, debugging, and optimizing decentralized autonomous multi-agent systems. Built on a custom high-performance physics engine, it allows researchers to visualize emergent agent flocking and foraging behaviors in real-time.

High-Performance Architecture

Swarm simulations involve thousands of dynamic calculations. HIVEMIND is engineered for high-count agent simulation without sacrificing UI responsiveness:

  • Non-blocking Simulation: A dedicated Web Worker handles the physics loop, keeping the browser UI thread free for smooth 60fps rendering.
  • Spatial Partitioning: Agents are indexed using a high-density Spatial Hash Grid, enabling O(1) real-time proximity queries for flocking parameters, food foraging paths, and collision avoidance.

Tech Stack

TypeScript React Vite Web Workers HTML5 Canvas Spatial Hashing