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Agent Frameworks Overview

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⚠️ This page is just unchecked AI-generated sample data to demonstrate the resource structure for flatmap-docs-kit.

Discover the powerful world of AI agent frameworks in Java. These frameworks enable you to build intelligent, autonomous systems that can reason, plan, and execute complex tasks.

🤖 What Are AI Agents?

AI agents are autonomous software systems that can:

  • Perceive their environment through various inputs
  • Reason about situations and make decisions
  • Act by executing tasks or providing responses
  • Learn from feedback to improve over time

LangGraph4J

The Java implementation of LangGraph, enabling you to build stateful, multi-step AI applications with complex workflows and memory management.

ADK (Agent Development Kit)

A comprehensive toolkit for building production-ready AI agents with built-in support for state machines, tool integration, and monitoring.

LangChain4J Agents

Extend LangChain4J with agent capabilities for building conversational AI systems and task-oriented assistants.

🚀 Key Capabilities

Each framework provides:

  • State Management - Maintain context across interactions
  • Tool Integration - Connect to external APIs and services
  • Memory Systems - Remember past interactions and learn
  • Workflow Orchestration - Coordinate complex multi-step processes
  • Monitoring & Observability - Track agent performance and behavior

🔧 Getting Started

Choose your framework based on your needs:

FrameworkBest ForComplexityProduction Ready
LangGraph4JComplex workflowsHighYes
ADKEnterprise agentsMediumYes
LangChain4JSimple agentsLowYes

📚 Learning Path

  1. Start with LangChain4J for basic agent concepts
  2. Move to ADK for production applications
  3. Explore LangGraph4J for advanced workflows

Ready to build your first AI agent? Let's get started!