A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress

AI 基础知识 - GPU 架构、CUDA 编程、大模型基础及AI Agent 相关知识

文颜 MCP Server 可以让 AI 自动将 Markdown 文章排版后发布至微信公众号。

eBPF Developer Tutorial: Learning eBPF Step by Step with Examples

bpftop provides a dynamic real-time view of running eBPF programs. It displays the average runtime, events per second, and estimated total CPU % for each program.

bpfnfs 使用 eBPF 技术监控和分析 NFS（网络文件系统）操作。它提供了 NFS 性能指标的实时洞察，并帮助诊断分布式文件系统中的问题。

Network monitoring & diagnosis suite for Kubernetes

The production-scale datacenter profiler (C/C++, Go, Rust, Python, Java, NodeJS, .NET, PHP, Ruby, Perl, ...)

Investigate kernel error call stacks

ChatGPT Plus 共享方案。ChatGPT Plus / OpenAI API sharing solution.

Free ChatGPT&DeepSeek API Key，免费ChatGPT&DeepSeek API。免费接入DeepSeek API和GPT4 API，支持 gpt | deepseek | claude | gemini | grok 等排名靠前的常用大模型。

使用 ChatGPT 自动将 Markdown 文件批量翻译为多语言 | Auto translate Markdown files to multi languages using ChatGPT

Capturing SSL/TLS plaintext without a CA certificate using eBPF. Supported on Linux/Android kernels for amd64/arm64.

Scaffolding for BPF application development with libbpf and BPF CO-RE

Linux Eelvation(持续更新)

Question Answering with Custom FIles using LLMs

Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

eBPF verifier log viewer

Framework for running BPF programs with rules on Linux as a daemon. Container aware.

Exporter parses kernel log for oomkilled pods

linux内核学习资料：200+经典内核文章，100+内核论文，50+内核项目，500+内核面试题，80+内核视频

A Debuggable Kernel environment Plus a software collection

Rust 程序设计语言（2024 edition 施工完毕）

Rust virtual machine and JIT compiler for eBPF programs

Official repository for the BPF Performance Tools book

Continuous profiling for analysis of CPU and memory usage, down to the line number and throughout time. Saving infrastructure cost, improving performance, and increasing reliability.

Programmable debugger