Stars
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Codex CLI multi-account OAuth manager with account switching, health checks, runtime rotation, diagnostics, and recovery tools for @openai/codex
Run frontier MoE models on hardware you already own — pure C, zero deps, experts streamed from disk. Tiny engine, immense model. 🐦
HLS.js is a JavaScript library that plays HLS in browsers with support for MSE.
Shannon is an AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
A toolchain for web projects, aimed to provide functionalities to maintain them. Biome offers formatter and linter, usable via CLI and LSP.
OpenTUI is a library to build terminal user interfaces (TUI)
Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI…
🌈 React for interactive command-line apps
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools lik…
⚡ A fast Git hook manager written in Rust, designed as a drop-in alternative to pre-commit, reimagined.
a simple and minimalist status bar theme for tmux ☯︎
"DeepCode: Open Agentic Coding ((Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
VSCode-style diff, merge and git history for Neovim. Side-by-side or inline, with character-level highlighting from VSCode's own diff algorithm in C.
The fastest path to AI-powered full stack observability, even for lean teams.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
I made my AI think harder by making it argue with itself repeatedly. It works stupidly well.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
An OpenSource Deep Research library with reasoning
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
A GPU-accelerated cross-platform terminal emulator and multiplexer written by @wez and implemented in Rust