Open source ai-workflows projects
Every project in the registry tagged ai-workflows, ranked by real GitHub adoption.
The modern GraphQL runtime
Terminal-native AI coding agent built on ZSH
YAML-defined workflow orchestration, no database required
Professional-grade, local-first browser extension that transforms any webpage into high-fidelity, LLM-friendly Markdown entirely within the browser's runtime. Z
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Frequently asked questions
How many open source ai-workflows projects are there?
This registry tracks 4 projects tagged ai-workflows, with 23,912 GitHub stars between them. The most-adopted is Tailcall at 7,637 stars.
Are these ai-workflows projects free to use?
Yes — 4 of the 4 carry an explicit open-source licence across 3 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 4 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.