How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill memory-leak-detectionBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Memory Leak Detection
Table of Contents
Overview
Identify and fix memory leaks to prevent out-of-memory crashes and optimize application performance.
When to Use
- Memory usage growing over time
- Out of memory (OOM) errors
- Performance degradation
- Container restarts
- High memory consumption
Quick Start
Minimal working example:
import v8 from "v8";
import fs from "fs";
class MemoryProfiler {
takeSnapshot(filename: string): void {
const snapshot = v8.writeHeapSnapshot(filename);
console.log(`Heap snapshot saved to ${snapshot}`);
}
getMemoryUsage(): NodeJS.MemoryUsage {
return process.memoryUsage();
}
formatMemory(bytes: number): string {
return `${(bytes / 1024 / 1024).toFixed(2)} MB`;
}
printMemoryUsage(): void {
const usage = this.getMemoryUsage();
console.log("Memory Usage:");
console.log(` RSS: ${this.formatMemory(usage.rss)}`);
console.log(` Heap Total: ${this.formatMemory(usage.heapTotal)}`);
console.log(` Heap Used: ${this.formatMemory(usage.heapUsed)}`);
console.log(` External: ${this.formatMemory(usage.external)}`);
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Node.js Heap Snapshots | Node.js Heap Snapshots |
| Memory Leak Detection Middleware | Memory Leak Detection Middleware |
| Common Memory Leak Patterns | Common Memory Leak Patterns |
| Python Memory Profiling | Python Memory Profiling |
| WeakMap/WeakRef for Cache | WeakMap/WeakRef for Cache |
| Memory Monitoring in Production | Memory Monitoring in Production |
Best Practices
✅ DO
- Remove event listeners when done
- Clear timers and intervals
- Use WeakMap/WeakRef for caches
- Limit cache sizes
- Monitor memory in production
- Profile regularly
- Clean up after tests
❌ DON'T
- Create circular references
- Hold references to large objects unnecessarily
- Forget to clean up resources
- Ignore memory growth
- Skip WeakMap for object caches

