Reverse engineer anything with agents, from app behavior down to native binaries.
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Explore GitHub’s most-starred repositories, with the sources to go deeper.
Leading the ListThe Three Most-Starred Search Results
Discover the Top 200
| Rank | Repository and Purpose | Category | Language | Stars | Details |
|---|---|---|---|---|---|
| 05 | morluto/rea Reverse engineer anything with agents, from app behavior down to native binaries. | AI and Machine Learning | TypeScript | 452,104 | |
| 06 | EbookFoundation/free-programming-books :books: Freely available programming books | Learning Resources | Python | 401,408 | |
| 07 | openclaw/openclaw A personal AI assistant that runs on your devices and connects to messaging channels. | AI and Machine Learning | TypeScript | 394,345 | |
| 09 | nilbuild/developer-roadmap Interactive roadmaps, guides and other educational content to help developers grow in their careers. | Learning Resources | TypeScript | 371,816 | |
| 13 | mattpocock/skills Skills for Real Engineers. Straight from my .agents directory. | AI and Machine Learning | Shell | 321,745 | |
| 14 | obra/superpowers An agentic skills framework & software development methodology that works. | AI and Machine Learning | Shell | 316,133 | |
| 15 | affaan-m/ECC The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. | AI and Machine Learning | JavaScript | 301,189 | |
| 17 | deepseek-ai/deepseek-harness DeepSeek Harness: Everything is a Plugin. | AI and Machine Learning | TypeScript | 278,889 | |
| 19 | NousResearch/hermes-agent The agent that grows with you | AI and Machine Learning | Python | 262,663 | |
| 23 | multica-ai/andrej-karpathy-skills A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. | AI and Machine Learning | Not Specified | 232,143 | |
| 28 | n8n-io/n8n Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations. | Developer Tools | TypeScript | 210,155 | |
| 29 | DigitalPlatDev/FreeDomain Free domain registration and practical DNS learning resources for everyone. | Learning Resources | Markdown | 207,859 | |
| 32 | firecrawl/firecrawl Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥 | AI and Machine Learning | TypeScript | 200,845 | |
| 36 | microsoft/markitdown Python tool for converting files and office documents to Markdown. | Developer Tools | Python | 194,924 | |
| 37 | ultraworkers/claw-code An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention. | AI and Machine Learning | Rust | 194,793 | |
| 41 | DietrichGebert/ponytail Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. | AI and Machine Learning | JavaScript | 188,940 | |
| 43 | Significant-Gravitas/AutoGPT AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters. | AI and Machine Learning | Python | 187,994 | |
| 47 | getify/You-Dont-Know-JS A book series (2 published editions) on the JS language. | Learning Resources | Not Specified | 184,844 | |
| 49 | f/prompts.chat f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy. | Learning Resources | MDX | 176,911 | |
| 52 | huggingface/transformers 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. | AI and Machine Learning | Python | 168,815 | |
| 53 | msitarzewski/agency-agents A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. | AI and Machine Learning | Shell | 167,748 | |
| 54 | AUTOMATIC1111/stable-diffusion-webui Stable Diffusion web UI | AI and Machine Learning | Python | 165,289 | |
| 56 | langgenius/dify Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack. | AI and Machine Learning | Python | 160,983 | |
| 57 | Snailclimb/JavaGuide A Chinese-language Java and backend interview guide covering computing fundamentals, databases, distributed systems, and AI development. | Learning Resources | JavaScript | 159,527 | |
| 58 | open-webui/open-webui User-friendly AI Interface (Supports Ollama, OpenAI API, ...) | AI and Machine Learning | Svelte | 158,394 |
:books: Freely available programming books
A personal AI assistant that runs on your devices and connects to messaging channels.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Skills for Real Engineers. Straight from my .agents directory.
An agentic skills framework & software development methodology that works.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
DeepSeek Harness: Everything is a Plugin.
The agent that grows with you
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Free domain registration and practical DNS learning resources for everyone.
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
Python tool for converting files and office documents to Markdown.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A book series (2 published editions) on the JS language.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
Stable Diffusion web UI
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
A Chinese-language Java and backend interview guide covering computing fundamentals, databases, distributed systems, and AI development.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
About the Data and Ranking
Public repositories returned by GitHub Search, including forks and archived repositories. Search indexing, candidate scope and pagination limit global completeness. Counts are exact API integers at retrieval, not live counters.
Query: stars:>1000 is:public fork:true. Two pages of 100 results, sorted by stars. All 200 records are validated before replacement; the previous snapshot survives a failed check. Categories are editorial, generated from documented topic and description rules.
Stars reflect interest and popularity, not software quality, safety, or maintenance guarantees. Purpose text comes from upstream repository metadata. README examples are source-extracted and are not execution tests.
Storage: D1. Last Check: 11 Nov 2026, 17:19 UTC. Next Target: 12 Nov 2026, 19:00 UTC. Schedule configuration is verified separately in the operator runbook.
GitHub Search API Documentation