Agar.io Bot Script Apr 2026

function update() const player = findPlayerCell(); const target = findNearestFood(player.x, player.y); moveTowards(target.angle); requestAnimationFrame(update);

function decide(playerMass, nearestFoodAngle, nearestPlayerAngle, playerToPlayerDist, playerToVirusDist) if (playerMass < 150) return nearestFoodAngle; // just eat if (playerMass > 800) if (playerToVirusDist < 100 && playerToPlayerDist < 200) // aim virus towards enemy return angleToNearestEnemy; if (playerToPlayerDist < 80 && playerMass / otherPlayerMass > 1.3) // split and eat split(); return angleToNearestEnemy; if (playerToPlayerDist < 100 && playerMass / otherPlayerMass < 0.8) // run away return angleAwayFromEnemy; return nearestFoodAngle;

To move: canvas.dispatchEvent(new MouseEvent('mousemove', clientX, clientY))

function getFoodPositions(playerX, playerY, radius=300) let foods = []; for (let ang = 0; ang < 2*Math.PI; ang += 0.1) for (let r = 20; r < radius; r += 8) return foods; agar.io bot script

function findPlayerCell() // Scan center-ish region for non-green/white colors typical of player // Actually easier: track mouse position? No – better to detect dark outline or your name. // We'll simplify: assume player is at canvas center (camera follows your cell). return x: canvas.width/2, y: canvas.height/2 ;

function findNearestFood(playerX, playerY) // Scan grid around player for small light-gray dots. // Simplified: just return direction to nearest pellet. // Real implementation uses quadtree or spiral scan. return angle: Math.random() * 2 * Math.PI ;

update(); )();

Example scan:

To split: window.dispatchEvent(new KeyboardEvent('keydown', key: ' ', keyCode: 32))

function moveTowards(angle) // Simulate mouse movement to steer. const dx = Math.cos(angle) * 100; const dy = Math.sin(angle) * 100; const event = new MouseEvent('mousemove', clientX: canvas.getBoundingClientRect().left + canvas.width/2 + dx, clientY: canvas.getBoundingClientRect().top + canvas.height/2 + dy, ); canvas.dispatchEvent(event); return x: canvas

This basic bot just moves randomly. Next, we add real detection. 4.1 Finding Your Cell In Agar.io , your cell(s) have a black outline and your chosen nickname above them. We can scan for black pixels ( r<50,g<50,b<50 ) then cluster them.

(function() const canvas = document.querySelector('canvas'); if (!canvas) return; const ctx = canvas.getContext('2d'); function getPixelColor(x, y) const pixel = ctx.getImageData(x, y, 1, 1).data; return r: pixel[0], g: pixel[1], b: pixel[2] ;

(paste into DevTools Console to test):