A production-oriented AI workflow runtime for building, validating, recovering, and shipping complex AI workflows as dependable services. 面向生产的 AI 工作流运行时:快速开发、验证和恢复复杂 AI 工作流,并将其稳定交付为服务。
Build and manage complex AI workflows that are reliable and easy to validate and recover.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeA production-oriented AI workflow runtime for building, validating, recovering, and shipping complex AI workflows as dependable services. 面向生产的 AI 工作流运行时:快速开发、验证和恢复复杂 AI 工作流,并将其稳定交付为服务。
DeterminFlow has 672 stars on GitHub. It has been forked 96 times. DeterminFlow is written mainly in Python. It has been in active development since 2026. DeterminFlow is available under the AGPL-3.0 license. Its main topics are agent-orchestration, ai-agents, ai-workflow, fastapi.
A production-oriented AI workflow runtime for building, validating, recovering, and shipping complex AI workflows as dependable services. 面向生产的 AI 工作流运行时:快速开发、验证和恢复复杂 AI 工作流,并将其稳定交付为服务。
DeterminFlow is an open-source project. It is released under the AGPL-3.0 license.
Yes. DeterminFlow is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
DeterminFlow is available under the AGPL-3.0 license.
DeterminFlow is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/alikon-art-determinflow.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.