> ## Documentation Index
> Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Agents

> Overview of all available PraisonAI agents and their capabilities

PraisonAI provides a diverse set of specialized agents for various tasks. Each agent is designed with specific capabilities and tools to handle different types of tasks effectively.

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
graph LR
    %% Define the main flow
    Start([▶ Start]) --> Agent1
    Agent1 --> Process[⚙ Process]
    Process --> Agent2
    Agent2 --> Output([✓ Output])
    Process -.-> Agent1
    
    %% Define subgraphs for agents and their tasks
    subgraph Agent1[ ]
        Task1[📋 Task]
        AgentIcon1[🤖 AI Agent]
        Tools1[🔧 Tools]
        
        Task1 --- AgentIcon1
        AgentIcon1 --- Tools1
    end
    
    subgraph Agent2[ ]
        Task2[📋 Task]
        AgentIcon2[🤖 AI Agent]
        Tools2[🔧 Tools]
        
        Task2 --- AgentIcon2
        AgentIcon2 --- Tools2
    end

    classDef input fill:#8B0000,stroke:#7C90A0,color:#fff
    classDef process fill:#189AB4,stroke:#7C90A0,color:#fff
    classDef tools fill:#2E8B57,stroke:#7C90A0,color:#fff
    classDef transparent fill:none,stroke:none

    class Start,Output,Task1,Task2 input
    class Process,AgentIcon1,AgentIcon2 process
    class Tools1,Tools2 tools
    class Agent1,Agent2 transparent
```

## Data & Analysis

<CardGroup cols={2}>
  <Card title="Data Analyst" icon="chart-line" href="/agents/data-analyst">
    Analyze data from various sources, create visualizations, and generate insights.
  </Card>

  <Card title="Finance" icon="money-bill-trend-up" href="/agents/finance">
    Track stocks, analyze financial data, and provide investment recommendations.
  </Card>

  <Card title="Research" icon="magnifying-glass-chart" href="/agents/research">
    Conduct comprehensive research and analysis across various topics.
  </Card>

  <Card title="Wikipedia" icon="book" href="/agents/wikipedia">
    Search and extract information from Wikipedia articles.
  </Card>
</CardGroup>

## Media & Content

<CardGroup cols={2}>
  <Card title="Image Analysis" icon="image" href="/agents/image">
    Analyze and understand visual content from images.
  </Card>

  <Card title="Image to Text" icon="text" href="/agents/image-to-text">
    Convert images to textual descriptions and extract text content.
  </Card>

  <Card title="Video" icon="video" href="/agents/video">
    Analyze video content and extract meaningful information.
  </Card>

  <Card title="Markdown" icon="markdown" href="/agents/markdown">
    Generate and format content in Markdown syntax.
  </Card>
</CardGroup>

## Search & Recommendations

<CardGroup cols={2}>
  <Card title="Web Search" icon="globe" href="/agents/websearch">
    Perform intelligent web searches and gather information.
  </Card>

  <Card title="Recommendation" icon="thumbs-up" href="/agents/recommendation">
    Generate personalized recommendations based on preferences.
  </Card>

  <Card title="Shopping" icon="shop" href="/agents/shopping">
    Compare prices and find the best deals across stores.
  </Card>

  <Card title="Planning" icon="calendar" href="/agents/planning">
    Create travel plans and detailed itineraries.
  </Card>
</CardGroup>

## Development

<CardGroup cols={2}>
  <Card title="Programming" icon="code" href="/agents/programming">
    Write, analyze, and debug code across multiple languages.
  </Card>

  <Card title="Single Agent" icon="circle-1" href="/agents/single">
    Simple, focused agent for basic tasks without external tools.
  </Card>
</CardGroup>

## Getting Started

Each agent can be easily initialized and customized for your specific needs. Here's a basic example:

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
from praisonaiagents import Agent

# Create an agent with specific instructions
agent = Agent(instructions="Your task-specific instructions")

# Start the agent with a task
response = agent.start("Your task description")
```

For more detailed information about each agent, click on the respective cards above.