Every category of AI project we document — agents, APIs, notebooks, web apps and more — with the projects inside each one shown up front, so you never open an empty shelf.
Every category with a peek at the projects inside it. Sort by size or jump straight to a letter.
Search every project at once and narrow it by difficulty, type, cost, licence and technology — the whole catalogue on one screen.
Every entry is open source, currently maintained, and documented well enough to start from.
Each entry links straight to its repository, so you can read the code and judge the thing before you commit an afternoon to it.
Languages, frameworks and infrastructure are listed per project — not left as "some AI" — so you know what you are signing up to run.
Beginner through expert, set against what the project actually asks of you: the toolchain, the hardware and the prerequisites.
MIT, Apache, AGPL or something bespoke — stated on the card, because it decides whether you can ship what you build.
Filter to what runs on your own hardware, or to what only needs a key. Both are legitimate; the catalogue does not assume.
Category, technology and tag hubs cross-cut the same catalogue, so you can arrive from whichever direction you already think in.
How the projects are organised, what the counts mean and where to go when nothing fits.
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