Five hundred forty-eight frameworks. Nobody is reading that list raw, and anyone who tells you to is not your friend. The trick is filtering in the right order, so each filter cuts the field meaningfully instead of randomly.
Filter one is language. It usually cuts the field by more than half. Pick your team's language and do not look back. Second-guessing this later is how projects die. Filter two is the maintenance pulse: recent commits, answered issues, a release this year. This kills the abandoned experiments, which are most of the list. Be ruthless. An unmaintained framework is a future rewrite wearing a trench coat.
Filter three is license. If you are building commercially, this one is non-negotiable, and it surprises people how many options it removes. Read it before you fall in love, not after. Filter four is model flexibility: a pluggable model layer, not one welded to a single provider. Future-you says thanks. Present-you should listen.
Filter five is local-LLM support, if privacy or cost matters to you. Our database flags this per framework for exactly that reason. After five filters you are looking at maybe a dozen. Now, and only now, read docs. Build the same toy project in your top two. The right choice usually becomes obvious within a weekend. Filters first, feelings later, data throughout. That is the whole method.
Our AI agent framework comparison database search carries all 548 rows with the six ranking signals attached, so the filtering takes minutes instead of weeks. Try it at localaiagents.fyi. In a hurry? Framework selection consulting SaaS will run this filtering for you, and it is worth the money when the wrong choice costs months. Or skip to the part where it works: I build custom AI agents scoped to your actual workflow at localaiagents.fyi.