openclaw-test-heap-leaks

Diagnose memory leaks in Node.js test suites by collecting and comparing heap snapshots before and after test runs to identify retained objects. The provided delta reporting scripts summarize memory footprints to pinpoint the largest contributors causing escalating RSS.

The best way to compare heap snapshots across repeated test runs is using automated delta reporting. This process generates concise memory footprint deltas, allowing you to quickly prioritize fixes by surfacing the largest retained object contributors between each run.

Yes, you can use heap snapshot tooling to investigate OOM risks in multi-worker test pipelines. The diagnostic workflow applies to both Linux and Windows environments, guiding memory profiling to surface worker memory growth and identify cleanup paths.

Worker memory growth during OpenClaw test runs happens when objects are retained across repeated test executions. By applying heap snapshot analysis, you can identify these specific retained objects, understand the memory growth patterns, and follow provided guidance for fixes.

Yes, you need the included heap snapshot tooling scripts to analyze heap leaks in your test pipeline. The workflow requires these specific scripts to reproduce memory issues, collect snapshots, and compare footprints to successfully identify retained objects and leaks.

To surface the largest memory contributors causing OOMs in test suites, run the heap-leaks workflow to reproduce and snapshot memory footprints. The automated delta reporting compares these snapshots to prioritize fixes and suggest cleanup paths for the identified leaks.