A sophisticated low memory handler for Linux
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Updated
Aug 5, 2026 - Python
A sophisticated low memory handler for Linux
根据 Crash/ANR/OOM 等日志构建证据链,实现自动修复代码的Agent框架,并支持衔接自动测试验证、Bug管理平台 Agent framework that builds evidence chains from Crash/ANR/OOM logs, auto-fixes code, and plugs into test verification & bug trackers.
Out Of Memory Analyzer can be used to obtain and summarize "out of memory" issues logged by a Linux kernel (when oom-killer is invoked)
Two environment variables that fix PyTorch/glibc memory creep on Linux. Zero code changes. Zero performance cost.
A libray/program that gives information about oom scores
Python and bash scripts to analyze all system process oom_scores and sort by the highest value (most likely to get killed)
Icinga2/Nagios check for Out of memory problems
Compress AI models to reduce VRAM usage and file size for local LLM deployment and efficient storage.
System-wide OOM killer for macOS — kills the biggest runaway process before the kernel panic-reboots from swap exhaustion (the earlyoom/systemd-oomd macOS is missing).
Command-line Python3 programs to configure/control the Linux Out-Of-Memory (OOM) Killer.
Workload-agnostic Kubernetes OOM watchdog sidecar: rescues memory-bursty containers via in-place pod resize (pods/resize), borrows memory under host-safety guards and returns it when pressure clears.
Prevention, diagnosis and forensics for NVIDIA GB10 AI workstations (DGX Spark, ASUS Ascent GX10, Gigabyte AI TOP ATOM): Xid, thermal, OOM, stuck-GPU-clock detector, per-cgroup GPU memory (dmem patch), guardrails
Cloud-native Kubernetes optimization engine that analyzes workload resource utilization, detects overprovisioned deployments, and generates intelligent CPU and memory recommendations to improve cluster efficiency, scalability, and infrastructure cost optimization using Python, FastAPI, Docker, and Kubernetes systems engineering concepts.
A cache bounded by measured bytes, that refuses what it cannot afford.
Send details to Alertmanager when an Out-Of-Memory (OOM) event occurs.
To associate your repository with the oom topic, visit your repo's landing page and select "manage topics."