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《软件设计的哲学》中文翻译 | Chinese translation of A Philosophy of Software Design
UltraRAG v3: A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
An agentic skills framework & software development methodology that works.
Firefox Decrypt is a tool to extract passwords from Mozilla (Firefox™, Waterfox™, Thunderbird®, SeaMonkey®) profiles
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
Spec-driven development (SDD) for AI coding assistants.
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
Bash is all You need - Write a nano Claude Code 0 - 1
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
DigitalPlat FreeDomain: Free Domain For Everyone
A book for Learning the Foundations of LLMs
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Open-source AI hackers to find and fix your app’s vulnerabilities.
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
Best DDoS Attack Script Python3, (Cyber / DDos) Attack With 56 Methods
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!