Agent Orchestration Graph Pattern

An Agent Orchestration Graph Pattern is a multi-agent coordination pattern that uses directed graph structures to chain MCP calls and reasoning steps.

• AKA: Agent Flow Graph Pattern, Multi-Agent Graph Pattern, Orchestration DAG Pattern.
• Context:
  • It can typically define Agent Node through vertex representation and capability encapsulation.
  • It can typically establish Agent Edge through directed connections and data flow specifications.
  • It can typically enable Conditional Branching through decision nodes and routing logic.
  • It can typically support Parallel Execution through concurrent paths and synchronization points.
  • It can typically implement Error Handling through fallback paths and retry mechanisms.
  • ...
  • It can often compose Subgraph Pattern through nested orchestration and hierarchical structures.
  • It can often manage State Propagation through context passing and memory sharing.
  • It can often optimize Execution Path through graph analysis and performance profiling.
  • It can often provide Visual Representation through graph visualization and flow diagrams.
  • ...
  • It can range from being a Linear Agent Orchestration Graph Pattern to being a Complex Agent Orchestration Graph Pattern, depending on its graph topology complexity.
  • It can range from being a Static Agent Orchestration Graph Pattern to being a Dynamic Agent Orchestration Graph Pattern, depending on its runtime adaptability.
  • ...
  • It can integrate with Workflow Engine for execution management.
  • It can connect to Message Broker for agent communication.
  • It can interface with Monitoring System for execution tracking.
  • It can communicate with State Store for context persistence.
  • It can synchronize with Visualization Tool for graph rendering.
  • ...
• Example(s):
  • Framework-Specific Agent Orchestration Graph Patterns, such as:
    • LangGraph Agent Orchestration Graph Pattern using LangGraph framework features.
    • AutoGen Agent Orchestration Graph Pattern implementing AutoGen conversation patterns.
    • CrewAI Agent Orchestration Graph Pattern leveraging CrewAI task delegation.
  • Domain-Specific Agent Orchestration Graph Patterns, such as:
    • Research Agent Orchestration Graph Pattern for multi-source information gathering.
    • Code Generation Agent Orchestration Graph Pattern for iterative code refinement.
  • Architecture-Based Agent Orchestration Graph Patterns, such as:
    • Hub-and-Spoke Agent Orchestration Graph Pattern with central coordinator.
    • Pipeline Agent Orchestration Graph Pattern with sequential processing.
  • ...
• Counter-Example(s):
  • Single Agent Pattern, which lacks multi-agent coordination.
  • Hard-Coded Sequence, which misses graph-based flexibility.
  • Unstructured Agent Communication, which lacks formal orchestration pattern.
• See: Multi-Agent Development Framework, Workflow Orchestration Framework, Directed Acyclic Graph (DAG), Agent Communication Protocol, Distributed System Pattern, LangGraph Framework, State Machine Pattern.

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