A diagnostic performance logging utility for macOS: logs CPU, memory, GPU, network, and battery from the menu bar to help detect and diagnose performance issues. Free, open source, no telemetry.
Linux memory pressure evaluation discovery toolkit
Show memory pressure in menu bar on macOS
Swift iOS library for adaptive feature gating based on device performance, Low Power Mode, thermal state, memory, and storage.
tool to eat ram. *nom-nom-nom*
A script to allow memory pressure information from newer Linux kernels to be displayed as sensors in KDE's KSysGuard.
Inspect macOS process ownership and resource history in a compact popup, then choose whether to stop a process.
Pauses idle background apps on a Mac under memory pressure and resumes each one when you switch back. Every pause is journaled and undone after a crash; starts in Observe mode; never deletes files. Validated on one Mac (see Validated scope in the README). Formerly iClean.
Monitor CPU, memory, GPU, and network performance with this native macOS tool that records system metrics locally for detailed process diagnostics.
Android RAM stress-test tool. Allocates memory via native mmap inside a foreground service to study low-memory behavior and the OOM killer.
macOS app that shows a memory pressure indicator in your menu bar.
Thin benchmark harness for local LLM endpoints — TTFT/prefill/decode with distribution, correlated with macOS memory pressure and thermal throttling. Same code on M1 (LM Studio) and M5 (mlx-lm), just swap the config.
Monitor flotante de memoria para macOS · Floating memory monitor for macOS (20 idiomas / languages)
macOS AI agent resource hog watcher that sacrifices expendable GUI apps before OOM kills agent work
Bash script to generate synthetic CPU, disk I/O, and memory-pressure load for testing monitoring and alerting.
Menu bar early-warning system for macOS watchdog kernel panics — live pressure/swap/disk monitoring with a pre-crash flight recorder
Step-level simulation of chunked prefill under KV cache pressure. Block policy wastes 89.6% of prefill chunks while achieving the same throughput as upfront rejection. Chunk waste rate is the metric standard throughput metrics miss.
Linux system strain indicator that outputs a single score from 0 to 100+. Provides better actual system utilization compared to load-average.
Comparing KV-cache-aware scheduling policies for LLM serving: greedy preempts 49% of requests under memory pressure while memory-first achieves 43% higher effective throughput with zero preemptions.
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