Dify

In this catalog it is the Workflow Orchestration option when you need to run durable multi-step jobs with retries and state. Keep Dify on the observe/propose side of the loop: useful signals and drafts, with human or policy authority still required before anything irreversible runs.

Workflows are coded or declared; the engine persists state, retries activities, and wakes on signals/timers until completion.

1. Declare the workflow/graph and activity boundaries.
2. Configure durable state / event history storage.
3. Run a failing activity and confirm retry/resume behavior.
4. Expose signals/timers the agent host will use in production.

Related: langgraph · llamaindex · topics/01-architecture · topics/12-central-nervous-system

• Use when: Dify is an open-core LLM application platform with visual workflows, RAG, agent modes, and API deployment matches the bottleneck and you specifically need to run durable multi-step jobs with retries and state.
• Skip when: another pack already covers the need with less ops surface, or Dify would become a second place people retype truth.
• Prefer instead: compare LangGraph, LlamaIndex before locking the cell.

• Ops: confirm license, hosting, and release cadence for Dify (langgenius/dify) before relying on it in a live corridor.
• Integration: bad credentials, scopes, or schema drift produce empty retrievals or runaway tool/model spend without an obvious UI alarm.
• Scope: Workflow Orchestration components support agents; they are not the company ledger or the approval authority.