Agents don't fail the same way programs do. They fail quietly — context drift, tool call loops, and silent confidence collapse. Agent-Workflow-Designer gives you a visual canvas to design agent pipelines with explicit state management, error recovery paths, and rollback triggers — so failures fail loudly and predictably.
10-Second Pitch
- Visual Pipeline Canvas: Drag-and-drop agent nodes with connection lines that represent data flow and control dependencies.
- State Machine Modeling: Explicit states per agent — idle, running, waiting-for-input, failed, recovered — with defined transitions.
- Error Recovery Paths: Define fallback routes for each failure mode, so a tool timeout doesn't cascade into a full pipeline crash.
- Execution Replay: Replay any pipeline run with full state snapshots to debug failures in isolation.
Setup Directions
- Launch the designer:
agent-wf designer --port 7777 - Add agent nodes from your registry and define their connections.
- Configure state transitions in the inspector panel for each node.
- Run with monitoring:
agent-wf run --pipeline ./my-pipeline.yaml --monitor - Use
agent-wf replay --run-id <id>to debug any step in isolation.
Pros/Cons
| Pros | Cons |
|---|---|
| Makes complex agent orchestration visual and debuggable | Learning the state machine model takes time |
| Explicit error paths prevent silent failures | Can be overkill for simple linear pipelines |
| Execution replay is invaluable for debugging production failures | Requires agents that expose state, not all do |
Verdict: The tool that makes multi-agent systems tractable to debug and operate. If you're running anything more complex than a linear chain of agents, you need explicit state and error recovery paths — this is the tool that gives you both.