Open source ai-workflows projects

Every project in the registry tagged ai-workflows, ranked by real GitHub adoption.

projects 3 combined stars ★ 19K refresh nightly
01 Tailcall ★ 7.6K

The modern GraphQL runtime

last push11 hours ago languageRust licenseApache-2.0
02 Forgecode ★ 7.6K

Terminal-native AI coding agent built on ZSH

last push11 hours ago languageRust licenseApache-2.0
03 Dagu ★ 4.0K

YAML-defined workflow orchestration, no database required

last push21 hours ago languageGo licenseGPL-3.0

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Frequently asked questions

How many open source ai-workflows projects are there?

This registry tracks 3 projects tagged ai-workflows, with 19,287 GitHub stars between them. The most-adopted is Tailcall at 7,632 stars.

Are these ai-workflows projects free to use?

Yes — 3 of the 3 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.

Which ai-workflows project should I choose?

The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.

Are these ai-workflows projects still maintained?

3 of the 3 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.