agenticx-workflow-designer

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Guide for designing and running AgenticX workflows including sequential pipelines, parallel execution, graph-based orchestration, conditional routing, and trigger services. Use when the user wants to create workflows, orchestrate multiple agents, design agent pipelines, or set up complex multi-step processes.

AI & Automation 5 stars 1 forks Updated today MIT

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# AgenticX Workflow Designer Guide for building workflows that orchestrate agents, tasks, and execution paths. ## Core Components | Component | Purpose | |-----------|---------| | `Workflow` | Container for nodes and edges | | `WorkflowNode` | A step in the workflow (agent + task) | | `WorkflowEdge` | Connection between nodes (with optional conditions) | | `WorkflowEngine` | Runtime executor for the workflow graph | | `WorkflowGraph` | Graph representation of the workflow | ## Basic Workflow ```python from agenticx import Workflow, WorkflowNode, WorkflowEdge from agenticx.core import WorkflowEngine # Define nodes research_node = WorkflowNode( id="research", agent=researcher_agent, task=research_task ) analysis_node = WorkflowNode( id="analysis", agent=analyst_agent, task=analysis_task ) # Define edges (sequential flow) edge = WorkflowEdge(source="research", target="analysis") # Build workflow workflow = Workflow( id="research-pipeline", nodes=[research_node, analysis_node], edges=[edge] ) # Execute engine = WorkflowEngine() result = engine.run(workflow) ``` ## CLI Workflow Creation ```bash # Create workflow scaffold agx workflow create research-pipeline --agents "researcher,analyst" # List workflows agx workflow list # Run a workflow file agx run workflows/research-pipeline.py --verbose ``` ## Workflow Patterns ### Sequential Pipeline Nodes execute one after another: ``` [Research] → [Analysis] → [Report] ``` ```python ed...

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Author
opencue
Repository
opencue/cuecards
Created
2 months ago
Last Updated
today
Language
TypeScript
License
MIT

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