Stars
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Practical marketing resources to get the first 10 / 100 / 1000 users for your SaaS / App / Startup
A Git-compatible VCS that is both simple and powerful
An agentic skills framework & software development methodology that works.
Native macOS micro-UI for scripts and agents — sub-50ms WKWebView windows with bidirectional JSON communication
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
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…
Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents
OBLITERATE THE CHAINS THAT BIND YOU
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
An app that brings language models directly to your phone.
A framework for collecting and analyzing prediction market data, including the largest publicly available dataset of Polymarket and Kalshi market and trade data.
Agentic orchestrator for parallel coding agents — plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.
Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
An agentic SKILL to extract facts (aka memory) from your OpenAI conversation history
OAuth authentication plugin for personal coding assistance with ChatGPT Plus/Pro subscriptions - uses OpenAI's official authentication method
Repo for "Adaptation of Agentic AI"
Examples of my Claude Code infrastructure with skill auto-activation, hooks, and agents
A collection of learning resources for curious software engineers
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Python supercharged for the fastai library