ai-agent-orchestrator

name	ai-agent-orchestrator
description	Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".

AI Agent Orchestrator

Build coordinated multi-agent systems for complex task automation.

Core Workflow

1. Define agents: Create specialized agents
2. Design workflow: Plan agent coordination
3. Implement handoffs: Agent-to-agent communication
4. Add shared memory: Persistent context
5. Create supervisor: Orchestrate execution
6. Monitor execution: Track agent activities

Agent Architecture

Agent Definition

// agents/base.ts
import { ChatOpenAI } from '@langchain/openai';
import { SystemMessage, HumanMessage, AIMessage } from '@langchain/core/messages';

export interface AgentConfig {
  name: string;
  role: string;
  systemPrompt: string;
  ?: [];
  ?: ;
}

   {
  : ;
  ?: [];
  ?: ;
  ?: ;
}

   {
   : ;
   : ;
   : [] = [];

  () {
    . = config;
    . =  ({
      : config. || ,
      : ,
    });
  }

   (: , ?: <, >): <> {
     systemMessage =  (
      .(context)
    );

     messages = [
      systemMessage,
      ....,
       (input),
    ];

     response =  ..(messages, {
      : ..,
    });

    ..( (input));
    ..( (response.  ));

     .(response);
  }

   (?: <, >):  {
     prompt = ..;

     (context) {
      prompt += ;
    }

     prompt;
  }

   (: ):  {
    
     {
      : response.  ,
      : response.,
      : response.?.(),
    };
  }

  () {
    . = [];
  }
}