A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
The AI movement's repository database
The best AI repositories
224 living projects — from agent frameworks to prompt-injection defense. Each comes with our own note: why it matters, who it is for and how to start in three steps.
Stars, forks and activity refresh daily via the GitHub API · updated October 6, 2026
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A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.
A small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.
An open coding agent for the terminal with a desktop app. It is not tied to one provider: plug in whichever models you have.
A toolkit for spec-driven development: principles and a spec first, then a plan and tasks, and only then code. Works with several coding agents.
OpenAI's lightweight coding agent that runs in the terminal and works on your project's code. Written in Rust.
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7 repositories
The easiest way to run an open model on your own machine: one command downloads and starts it, plus a local REST API and libraries for Python and JavaScript.
A ready-made «chat with your documents» app: plug in any model and vector database, upload files and talk to them. Has a desktop version, Docker and agents.
A free MCP course from Microsoft: from basics and security to first servers, with examples in C#, Java, JavaScript, Rust, Python and TypeScript.
The official TypeScript SDK for MCP, split into server and client packages with optional adapters for Node, Express and Fastify.
A lightweight 82M-parameter text-to-speech model that sounds far better than its size suggests and runs fast locally.
Firecrawl's official MCP server: scraping, search and site crawling for an agent. Offers a hosted keyless free tier or a local run through npx.
A famous abstract-reasoning test: 800 puzzles on coloured grids where you infer the rule from a few examples. Easy for people, long out of reach for models. The repo holds the data and a page for solving tasks by hand.
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