agently-triggerflow

You can handle workflow orchestration with branching and concurrency by using async-first handlers to define explicit stages. This approach enables simultaneous execution paths while maintaining structured process boundaries and clear execution semantics.

Yes, you can pause and resume a multi-step workflow during approval waits using restart-safe execution topology. This ensures the workflow state persists securely until the approval is received and execution resumes seamlessly.

The best way to manage retry and replan semantics is through a dedicated orchestration layer that handles execution retries automatically. This allows complex automated pipelines to dynamically replan steps upon failure without losing prior progress.

No, this workflow orchestration requires the Agently framework and Python code to function. The framework provides the necessary async execution APIs and foundational structure required to implement the branching and concurrency handlers.

You refactor mixed sync and async pipelines by moving them into an orchestration layer with explicit stages. This separates execution semantics from business logic, providing clear process clarity and enabling robust multi-step loop management.