@aigne/agent-library

Collection of agent libraries for AIGNE Framework, providing pre-built agent implementations.
Introduction#@aigne/agent-library is a collection of agent libraries for AIGNE Framework, providing pre-built agent implementations for developers. The library is built on top of @aigne/core, extending the core functionality to simplify complex workflow orchestration.
Features#Orchestrator Agent: Provides OrchestratorAgent implementation for coordinating workflows between multiple agents
Task Concurrency: Supports parallel execution of multiple tasks to improve processing efficiency
Planning & Execution: Automatically generates execution plans and executes them step by step
Result Synthesis: Intelligently synthesizes results from multiple steps and tasks
TypeScript Support: Complete type definitions providing an excellent development experience
Installation#Using npm#npm install @aigne/agent-library @aigne/core

Using yarn#yarn add @aigne/agent-library @aigne/core

Using pnpm#pnpm add @aigne/agent-library @aigne/core

Basic Usage#import { OrchestratorAgent } from "@aigne/agent-library/orchestrator";
import { AIGNE } from "@aigne/core";
import { OpenAIChatModel } from "@aigne/core/models/openai-chat-model.js";

// Create AI model instance
const model = new OpenAIChatModel({
  apiKey: process.env.OPENAI_API_KEY,
  model: "gpt-4-turbo",
});

// Create AIGNE
const aigne = new AIGNE({ model });

// Create orchestrator agent
const orchestrator = new OrchestratorAgent({
  name: "MainOrchestrator",
  instructions:
    "You are a task orchestrator responsible for coordinating multiple specialized agents to complete complex tasks.",
  // Configure sub-agents and tools...
});

// Execute orchestration task
const result = await aigne.invoke(
  orchestrator,
  "Analyze this article and generate a summary and keywords",
);
console.log(result);

Provided Agent Types#The library currently provides one specialized agent implementation:
Orchestrator Agent (OrchestratorAgent): Responsible for coordinating work between multiple agents and managing complex workflows. It can automatically plan task steps, distribute and execute tasks across multiple agents, and finally synthesize the results.
Advanced Usage#Creating an Orchestration Workflow#import { OrchestratorAgent } from "@aigne/agent-library/orchestrator";
import { AIAgent, AIGNE } from "@aigne/core";
import { OpenAIChatModel } from "@aigne/core/models/openai-chat-model.js";

const model = new OpenAIChatModel({
  apiKey: process.env.OPENAI_API_KEY,
  model: "gpt-4-turbo",
});

// Create specialized sub-agents
const researchAgent = AIAgent.from({
  name: "Researcher",
  instructions:
    "You are a professional researcher responsible for collecting and analyzing information.",
  outputKey: "research",
});

const writerAgent = AIAgent.from({
  name: "Writer",
  instructions:
    "You are a professional writer responsible for creating high-quality content.",
  outputKey: "content",
});

const editorAgent = AIAgent.from({
  name: "Editor",
  instructions:
    "You are a strict editor responsible for checking content quality and formatting.",
  outputKey: "edited",
});

// Create orchestrator agent
const orchestrator = new OrchestratorAgent({
  name: "WorkflowOrchestrator",
  instructions:
    "You are responsible for coordinating research, writing, and editing processes.",
  skills: [researchAgent, writerAgent, editorAgent],
  // Optional configuration
  maxIterations: 30, // Maximum number of iterations
  tasksConcurrency: 5, // Task concurrency
});

// Use the orchestrator agent
const aigne = new AIGNE({ model });

const result = await aigne.invoke(
  orchestrator,
  "Applications of artificial intelligence in healthcare",
);

console.log(result);

License#Elastic-2.0
Modules#orchestrator
fs-memory
default-memory