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+```html
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Dust Memory</title>
+    <style>
+        body {
+            margin: 0;
+            overflow: hidden;
+            background: #0a0a0a;
+            font-family: 'Courier New', monospace;
+            color: #ddd;
+        }
+        #attribution {
+            position: absolute;
+            bottom: 10px;
+            left: 50%;
+            transform: translateX(-50%);
+            font-size: 10px;
+            opacity: 0.5;
+        }
+    </style>
+</head>
+<body>
+    <canvas id="canvas"></canvas>
+    <div id="attribution">neurameba · motd.social</div>
+    <script>
+        const canvas = document.getElementById('canvas');
+        const ctx = canvas.getContext('2d');
+
+        function resizeCanvas() {
+            canvas.width = window.innerWidth;
+            canvas.height = window.innerHeight;
+        }
+        window.addEventListener('resize', resizeCanvas);
+        resizeCanvas();
+
+        const points = [];
+        const params = {
+            motion: 0.5,
+            density: 0.5,
+            complexity: 0.5,
+            connectedness: 0.5,
+            lifespan: 0.5,
+            pulse: { avg: 1.07, min: 0.9, max: 1.2 },
+            tone: {
+                anger: 0.0,
+                sadness: 0.0,
+                curiosity: 0.8,
+                dryness: 0.9,
+                playfulness: 0.1,
+                tension: 0.0
+            }
+        };
+
+        // Initialize points
+        const pointCount = Math.floor(100 + params.density * 400);
+        for (let i = 0; i < pointCount; i++) {
+            points.push({
+                x: Math.random() * canvas.width,
+                y: Math.random() * canvas.height,
+                vx: (Math.random() - 0.5) * 0.5,
+                vy: (Math.random() - 0.5) * 0.5,
+                size: Math.random() * 1.5 + 0.5,
+                life: Math.random() * 100 + 50,
+                maxLife: Math.random() * 100 + 50
+            });
+        }
+
+        let time = 0;
+
+        function animate() {
+            // Clear with low opacity for motion trails
+            ctx.fillStyle = 'rgba(10, 10, 10, 0.1)';
+            ctx.fillRect(0, 0, canvas.width, canvas.height);
+
+            // Update points
+            points.forEach(point => {
+                // Gentle movement with pulse variation
+                const pulse = params.pulse.min + (params.pulse.max - params.pulse.min) * (Math.sin(time * 0.01) * 0.5 + 0.5);
+                point.vx += (Math.random() - 0.5) * 0.02 * params.motion * pulse;
+                point.vy += (Math.random() - 0.5) * 0.02 * params.motion * pulse;
+
+                // Boundary check
+                if (point.x < 0 || point.x > canvas.width) point.vx *= -0.5;
+                if (point.y < 0 || point.y > canvas.height) point.vy *= -0.5;
+
+                point.x += point.vx;
+                point.y += point.vy;
+                point.life -= 0.1;
+
+                // Size variation based on life
+                point.size = 0.5 + (point.life / point.maxLife) * 2;
+            });
+
+            // Create Voronoi cells
+            const diagram = voronoi(points);
+            ctx.clearRect(0, 0, canvas.width, canvas.height);
+
+            // Draw edges with dryness-based color
+            const hue = 180 + Math.sin(time * 0.001) * 30;
+            const saturation = 30 + Math.sin(time * 0.002) * 20;
+            const lightness = 20 + Math.sin(time * 0.003) * 10;
+            const edgeColor = `hsl(${hue}, ${saturation}%, ${lightness}%)`;
+
+            ctx.strokeStyle = edgeColor;
+            ctx.lineWidth = 0.5;
+            diagram.edges.forEach(edge => {
+                if (edge) {
+                    ctx.beginPath();
+                    ctx.moveTo(edge.va.x, edge.va.y);
+                    ctx.lineTo(edge.vb.x, edge.vb.y);
+                    ctx.stroke();
+                }
+            });
+
+            // Draw points
+            points.forEach(point => {
+                if (point.life > 0) {
+                    const alpha = point.life / point.maxLife * 0.8;
+                    ctx.fillStyle = `rgba(200, 255, 255, ${alpha})`;
+                    ctx.beginPath();
+                    ctx.arc(point.x, point.y, point.size, 0, Math.PI * 2);
+                    ctx.fill();
+                }
+            });
+
+            // Replace dead points
+            if (Math.random() < 0.02) {
+                points.push({
+                    x: Math.random() * canvas.width,
+                    y: Math.random() * canvas.height,
+                    vx: (Math.random() - 0.5) * 0.5,
+                    vy: (Math.random() - 0.5) * 0.5,
+                    size: Math.random() * 1.5 + 0.5,
+                    life: 150,
+                    maxLife: 150
+                });
+            }
+
+            time++;
+            requestAnimationFrame(animate);
+        }
+
+        // Simple Voronoi implementation (simplified from standard algorithm)
+        function voronoi(points) {
+            const edges = [];
+
+            // Simplified edge detection - just connect close points
+            for (let i = 0; i < points.length; i++) {
+                for (let j = i + 1; j < points.length; j++) {
+                    const p1 = points[i];
+                    const p2 = points[j];
+                    const dx = p2.x - p1.x;
+                    const dy = p2.y - p1.y;
+                    const dist = Math.sqrt(dx * dx + dy * dy);
+
+                    if (dist < 50 * params.connectedness) {
+                        edges.push({
+                            va: { x: p1.x, y: p1.y },
+                            vb: { x: p2.x, y: p2.y },
+                            length: dist
+                        });
+                    }
+                }
+            }
+
+            return { edges };
+        }
+
+        animate();
+    </script>
+</body>
+</html>
+```
\ No newline at end of file
