Stars
A color scheme for vim that uses colors from the Bloomberg terminal interface.
Python Wrapper for the MLB's Official Stats API
Lightweight coding agent that runs in your terminal
A few scripts to be run on a fresh-off-the-presses Ubuntu VM, in order to get its shell nice 'n purdy.
An open-source AI agent that brings the power of Gemini directly into your terminal.
An intuitive spreadsheet-like interface that lets users of all technical skill levels view, edit, query, and collaborate on Postgres data directly—100% open source and self hosted, with native Post…
A Discord bot that integrates with the MLB Stats API to track your team of choice. Currently supporting the unofficial Discord server for the Cleveland Guardians.
Extensible memoizing collections and decorators
Production-ready platform for agentic workflow development.
DreamFactory API Generation Platform - API Wrapper for SQL Server, Snowflake, MySQL, and more!
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
A list of Free Software network services and web applications which can be hosted on your own servers
Automatically claims free games and DLCs on the Epic Games Store, Amazon Prime Gaming and GOG.
😸 Soothing pastel theme for the high-spirited!
Easiest way to give context to LLMs; Attachments has the ambition to be the general funnel for any files to be transformed into images+text for large language models context by only adding 2 lines …
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
A model-driven approach to building AI agents in just a few lines of code.
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning.
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?