Getting Started with AI Agents

Overview

This guide will help you get started with AI Agents quickly. Whether you're a developer or a non-technical user, there's a path for you.

Path 1: Use Ready-made Platforms (No Coding)

1. Try Dify

Dify is an open-source, low-code AI application platform. You can build AI Agents through drag-and-drop.

Visit Dify → Deploy locally or use cloud → Create your first Agent

2. Try Open WebUI

Open WebUI is a feature-rich chat interface supporting multiple LLM backends.

One-liner: docker run -d -p 3000:8080 ghcr.io/open-webui/open-webui:main

Path 2: Developer Path (Requires Coding)

1. Using [LangChain](https://aiagbox.com/en/project/langchain-ai~1langchain) (Python)

from langchain.agents import create_react_agent, AgentExecutor
from langchain.tools import tool

@tool
def search(query: str) -> str:
    """Search the web"""
    return f'Search results: {query}'

# Create Agent
agent = create_react_agent(llm, tools=[search], prompt=prompt)
agent_executor = AgentExecutor(agent=agent, tools=[search])
result = agent_executor.invoke({'input': 'Find latest AI news'})

2. Using [CrewAI](https://aiagbox.com/en/project/crewAI-inc~1crewAI) (Multi-Agent)

from crewai import Agent, Task, Crew

researcher = Agent(
    role='Researcher',
    goal='Find and summarize information',
    backstory='You are a research assistant',
)

writer = Agent(
    role='Writer',
    goal='Write reports',
    backstory='You are a technical writer',
)

Path 3: Use AI Coding Assistants

If you just want to boost coding productivity:

Next Steps

Browse aiagbox rankings → Discover more tools → Read docs → Start building!