Top 10 Most-Starred AI GitHub Projects (Nov 1, 2026) and Security Warning

The #1 most-starred AI project is REA with 418,000 stars—a reverse engineering tool that takes apps apart and shows how they work, not a code-writing AI. This has more forks than Linux itself.

Four of the top 10 projects are actually skill packs and behavior guidelines for AI agents, including a single text file (andrej-karpathy-skills) that teaches Claude Code how to avoid common mistakes. This text file has more stars than TensorFlow, Google's flagship machine learning framework.

The list includes a mix of workflow automation tools (n8n), coding agents (OpenCode, Hermes Agent, DeepSeek Harness), massive skill collections (ECC with 71 agents and 314 skills), and personal AI assistants (OpenClaw, which runs locally and connects to messaging platforms).

The creator issues a critical security warning: on October 29th, a fake Claude Code extension appeared in Cursor's marketplace for 11 hours that attempted to plant SSH keys on users' computers. Uninstalling may not be sufficient to remove the threat.

The rankings reveal a counterintuitive insight: while mainstream conversation focuses on AI that writes code, developers are actually starring and saving tools that take code apart, teach AI how to behave better, and give them more control over AI workflows.