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 | |
| 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 | |
| 24 | anomalyco/opencode The open source coding agent. | AI and Machine Learning | TypeScript | 226,097 | |
| 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 | |
| 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 | |
| 39 | anthropics/skills Public repository for Agent Skills | AI and Machine Learning | Python | 192,947 | |
| 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 | |
| 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 | |
| 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 | |
| 60 | langflow-ai/langflow Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | AI and Machine Learning | Python | 156,539 | |
| 61 | anthropics/claude-code Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands. | AI and Machine Learning | TypeScript | 155,283 | |
| 64 | langchain-ai/langchain The agent engineering platform. | AI and Machine Learning | Python | 149,362 | |
| 69 | Graphify-Labs/graphify Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store. | AI and Machine Learning | Python | 146,026 | |
| 71 | Shubhamsaboo/awesome-llm-apps 100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source. | Learning Resources | Python | 144,422 | |
| 83 | openai/codex Lightweight coding agent that runs in your terminal | AI and Machine Learning | Rust | 134,902 | |
| 91 | VoltAgent/awesome-design-md A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI. | Learning Resources | Not Specified | 126,838 | |
| 96 | stablyai/orca Orca lets you run a fleet of coding agents (e.g. Claude Code, Codex) with your own subscription. Available on desktop, mobile and remote runtime. | AI and Machine Learning | TypeScript | 122,174 | |
| 97 | TauricResearch/TradingAgents TradingAgents: Multi-Agents LLM Financial Trading Framework | AI and Machine Learning | Python | 122,038 | |
| 99 | earendil-works/pi AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI | AI and Machine Learning | TypeScript | 121,427 |
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
The open source coding agent.
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Public repository for Agent Skills
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 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.
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.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
The agent engineering platform.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
Lightweight coding agent that runs in your terminal
A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI.
Orca lets you run a fleet of coding agents (e.g. Claude Code, Codex) with your own subscription. Available on desktop, mobile and remote runtime.
TradingAgents: Multi-Agents LLM Financial Trading Framework
AI agent toolkit: unified LLM API, agent loop, TUI, coding agent CLI
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.
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